<?xml version="1.0" ?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.3 20210610//EN"  "JATS-archivearticle1-mathml3.dtd"><article xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.3" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">elife</journal-id>
<journal-id journal-id-type="publisher-id">eLife</journal-id>
<journal-title-group>
<journal-title>eLife</journal-title>
</journal-title-group>
<issn publication-format="electronic" pub-type="epub">2050-084X</issn>
<publisher>
<publisher-name>eLife Sciences Publications, Ltd</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">90164</article-id>
<article-id pub-id-type="doi">10.7554/eLife.90164</article-id>
<article-id pub-id-type="doi" specific-use="version">10.7554/eLife.90164.1</article-id>
<article-version-alternatives>
<article-version article-version-type="publication-state">reviewed preprint</article-version>
<article-version article-version-type="preprint-version">1.1</article-version>
</article-version-alternatives>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Developmental Biology</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Differential susceptibility of male and female germ cells to glucocorticoid-mediated signaling</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Cincotta</surname>
<given-names>Steven A.</given-names>
</name>
<xref ref-type="aff" rid="a1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Richardson</surname>
<given-names>Nainoa</given-names>
</name>
<xref ref-type="aff" rid="a1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Foecke</surname>
<given-names>Mariko H.</given-names>
</name>
<xref ref-type="aff" rid="a1">1</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-4930-0560</contrib-id>
<name>
<surname>Laird</surname>
<given-names>Diana J.</given-names>
</name>
<xref ref-type="aff" rid="a1">1</xref>
<xref ref-type="corresp" rid="cor1">*</xref>
</contrib>
<aff id="a1"><label>1</label><institution>Department of Obstetrics, Gynecology and Reproductive Sciences, Center for Reproductive Sciences, Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California</institution>, San Francisco, San Francisco, CA, <country>USA</country></aff>
</contrib-group>
<contrib-group content-type="section">
<contrib contrib-type="editor">
<name>
<surname>Yan</surname>
<given-names>Wei</given-names>
</name>
<role>Reviewing Editor</role>
<aff>
<institution-wrap>
<institution>Washington State University</institution>
</institution-wrap>
<city>Pullman</city>
<country>United States of America</country>
</aff>
</contrib>
<contrib contrib-type="senior_editor">
<name>
<surname>Yan</surname>
<given-names>Wei</given-names>
</name>
<role>Senior Editor</role>
<aff>
<institution-wrap>
<institution>Washington State University</institution>
</institution-wrap>
<city>Pullman</city>
<country>United States of America</country>
</aff>
</contrib>
</contrib-group>
<author-notes>
<corresp id="cor1"><label>*</label>Corresponding author: <email>diana.laird@ucsf.edu</email></corresp>
</author-notes>
<pub-date date-type="original-publication" iso-8601-date="2023-10-11">
<day>11</day>
<month>10</month>
<year>2023</year>
</pub-date>
<volume>12</volume>
<elocation-id>RP90164</elocation-id>
<history>
<date date-type="sent-for-review" iso-8601-date="2023-06-30">
<day>30</day>
<month>06</month>
<year>2023</year>
</date>
</history>
<pub-history>
<event>
<event-desc>Preprint posted</event-desc>
<date date-type="preprint" iso-8601-date="2023-07-22">
<day>22</day>
<month>07</month>
<year>2023</year>
</date>
<self-uri content-type="preprint" xlink:href="https://doi.org/10.1101/2023.06.30.547215"/>
</event>
</pub-history>
<permissions>
<copyright-statement>© 2023, Cincotta et al</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Cincotta et al</copyright-holder>
<ali:free_to_read/>
<license xlink:href="https://creativecommons.org/licenses/by/4.0/">
<ali:license_ref>https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This article is distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>, which permits unrestricted use and redistribution provided that the original author and source are credited.</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:href="elife-preprint-90164-v1.pdf"/>
<abstract>
<title>Abstract</title><p>While physiologic stress has long been known to impair mammalian reproductive capacity through hormonal dysregulation, mounting evidence now suggests that stress experienced prior to or during gestation may also negatively impact the health of future offspring. Rodent models of gestational physiologic stress can induce neurologic and behavioral phenotypes that persist for up to three generations, suggesting that stress signals can induce lasting epigenetic changes in the germline. Treatment with glucocorticoid stress hormones is sufficient to recapitulate the transgenerational phenotypes seen in physiologic stress models. These hormones are known to bind and activate the glucocorticoid receptor (GR), a ligand-inducible transcription factor, thus implicating GR-mediated signaling as a potential contributor to the transgenerational inheritance of stress-induced phenotypes. Here we demonstrate dynamic spatiotemporal regulation of GR expression in the mouse germline, showing expression in the fetal oocyte as well as the perinatal and adult spermatogonia. Functionally, we find that fetal oocytes are intrinsically buffered against changes in GR signaling, as neither genetic deletion of GR nor GR agonism with dexamethasone altered the transcriptional landscape or the progression of fetal oocytes through meiosis. In contrast, our studies revealed that the male germline is susceptible to glucocorticoid-mediated signaling, specifically by regulating RNA splicing within the spermatogonia, although this does not abrogate fertility. Together, our work suggests a sexually dimorphic function for GR in the germline, and represents an important step towards understanding the mechanisms by which stress can modulate the transmission of genetic information through the germline.</p>
</abstract>

</article-meta>
<notes>
<notes notes-type="competing-interest-statement">
<title>Competing Interest Statement</title><p>The authors have declared no competing interest.</p></notes>
<fn-group content-type="external-links">
<fn fn-type="dataset"><p>
<ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE234681">https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE234681</ext-link>
</p></fn>
</fn-group>
</notes>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>The impact of stress on mammalian reproductive capacity has long been appreciated. The hypothesis that psychological stress not only limits the ability to conceive, but may also impact the health of offspring has gained considerable attention in recent years. A growing body of work has demonstrated that rodent models of stress can induce a variety of neurologic and behavioral phenotypes that may persist across generations, even in generations unexposed to the initial stressor <sup><xref ref-type="bibr" rid="c1">1</xref>–<xref ref-type="bibr" rid="c11">11</xref></sup>. The persistence of such phenotypes for up to three generations suggests that stress signals can induce lasting epigenetic changes in the germline. As the committed precursors of eggs and sperm established during early embryogenesis, germ cells are responsible for transmitting genetic as well as epigenetic information across generations. Perturbations of the messenger can potentially corrupt the transmission of this information, thus understanding the mechanism by which stress can lead to epigenetic alterations in the germline remains a crucial unanswered question.</p>
<p>It has been demonstrated that treatment of rodents with synthetic glucocorticoid stress hormones is sufficient to recapitulate the transgenerational phenotypic inheritance seen in physiologic stress models <sup><xref ref-type="bibr" rid="c12">12</xref>–<xref ref-type="bibr" rid="c15">15</xref></sup>. These hormones are known to bind and activate nuclear hormone receptors such as glucocorticoid receptor (GR; encoded by the <italic>Nr3c1</italic> gene), thus implicating GR-mediated signaling in transgenerational inheritance of stress. The engagement of GR with its ligand in the cytoplasm promotes translocation to the nucleus where it then binds DNA response elements and recruits transcriptional cofactors to modulate target gene expression. As such, GR functions as a ligand-inducible transcription factor, allowing for robust changes to gene expression in response to stress hormones. While GR is known to be a potent transcriptional regulator in a wide variety of cell types <sup><xref ref-type="bibr" rid="c16">16</xref></sup>, its function in the cells of the gonad remains less clear.</p>
<p>Prior evidence for GR expression in the germ cells is sparse. In the adult mouse testis, one study suggested GR expression was limited to primary spermatocytes <sup><xref ref-type="bibr" rid="c17">17</xref></sup>, while others suggested that GR is expressed in both spermatogonia as well as spermatocytes <sup><xref ref-type="bibr" rid="c18">18</xref>,<xref ref-type="bibr" rid="c19">19</xref></sup>. In humans, multiple studies have shown robust GR expression in differentiating spermatogonia, as well as low expression in primary spermatocytes <sup><xref ref-type="bibr" rid="c20">20</xref>,<xref ref-type="bibr" rid="c21">21</xref></sup>. In the female, a single study of the human fetal ovary found evidence for GR expression by IHC in the oocytes of a nine week old embryo <sup><xref ref-type="bibr" rid="c22">22</xref></sup>, although expression was heterogeneous across the tissue. A more recent study of mouse fetal oocyte development using single-cell RNA-sequencing revealed increasing expression of GR in the oocytes between E12.5 to E14.5 <sup><xref ref-type="bibr" rid="c23">23</xref></sup>. Together these data suggest that GR may be expressed in the rodent / human germline, but in limited developmental windows. However, no studies to date have directly assessed the cell-intrinsic role of GR in the germ cells. While several publications describe a variety of defects to the male and female germline in response to glucocorticoid treatment <sup><xref ref-type="bibr" rid="c12">12</xref>,<xref ref-type="bibr" rid="c22">22</xref>,<xref ref-type="bibr" rid="c24">24</xref>–<xref ref-type="bibr" rid="c34">34</xref></sup>, it is unclear whether the phenotypes observed are due to the direct action of glucocorticoids on germ cells, or the indirect effects of systemic glucocorticoid treatment on hormone production by gonadal somatic cells and/or the hormone producing cells of the hypothalamus and pituitary.</p>
<p>Here, we characterized the expression of GR in the germline of the developing and adult mouse gonads, and determined the role of GR in normal germline formation and function. We discovered that GR is expressed in the female germline exclusively during fetal development, but absent from the adult oocyte. We demonstrated that the female germline is, surprisingly, resistant to changes in GR signaling. Negligible changes in transcription or meiotic progression of fetal oocytes resulted from either genetic deletion or agonism of GR with dexamethasone (dex), suggesting that the female germline is intrinsically buffered from changes in GR signaling. In contrast, we found that GR is expressed in pro-spermatogonia of the perinatal testis and spermatogonia of the adult testis, and transcriptomic analysis of germ cells from dex-treated males revealed a potential role of GR in regulating RNA splicing. Together our data confirm the dynamic spatiotemporal regulation of GR expression in both the male and female germ cells, and suggest a sexually dimorphic role for this receptor in the mammalian germline.</p>
</sec>
<sec id="s2">
<title>Results</title>
<sec id="s2a">
<title>Spatiotemporal expression of GR and novel isoforms in fetal oocytes</title>
<p>To assess GR expression in the developing female germline, we performed immunofluorescence (IF) on mouse fetal ovaries ranging from embryonic day (E) 12.5 through E18.5. Female germ cells, identified by either Oct4-GFP (<italic>Pou5f1-ΔPE-eGFP</italic> transgene) or TRA98, showed robust levels of GR starting at E13.5, which waned as development progressed (<bold><xref rid="fig1" ref-type="fig">Figure 1A</xref></bold>). GR consistently localized to the nucleus of fetal germ cells, irrespective of developmental stage, suggesting that GR may function as a transcription factor within the female germline (<bold><xref rid="fig1" ref-type="fig">Figure 1B</xref></bold>). To rigorously quantify GR expression dynamics in germ cells, we normalized GR expression levels to DAPI signal at the individual cell level, using the membrane marker wheat germ agglutinin (WGA) for segmentation (<bold><xref rid="figs1" ref-type="fig">Figure S1A</xref></bold>). These studies confirmed that GR expression in the germline decreased from E13.5 to E18.5 (<bold><xref rid="fig1" ref-type="fig">Figure 1C</xref></bold>).</p>
<fig id="fig1" position="float" orientation="portrait" fig-type="figure">
<label>Figure 1</label>
<caption><title>The glucocorticoid receptor in expressed in the developing fetal oocyte</title>
<p>(A) IF staining showing expression of GR in mouse fetal ovary sections at E13.5 (left) and E18.5 (right), counterstained with DAPI. Germ cells are marked by either transgenic Oct4-GFP or TRA98. Cellular membranes were stained with wheat germ agglutinin (WGA) to facilitate computational segmentation of individual cells. Scale bars: 15 μm.</p><p>(B) Quantification of GR subcellular localization within germ cells of the fetal ovary. Cells from the ovaries of three individual embryos were scored, with a total of 1423 cells and 859 cells analyzed at E13.5 and E18.5, respectively. Zoomed in image showing examples of both nuclear (asterisk) and cytoplasmic (arrowhead) GR staining in germ cells. Scale bar: 5 μm.</p><p>(C) Quantitative IF analysis of relative GR protein expression in the germ cells across developmental time. Individual cells were computationally segmented using WGA, and GR protein levels were normalized to DAPI on an individual cell basis. Images and total cell numbers counted were obtained from a minimum of three ovaries from three individual embryos at each developmental stage.</p><p>(D) Sashimi plots showing differences in alternative exon 1 splicing events at the <italic>Nr3c1</italic> locus between ovarian germ and somatic cells. Plots were generated from paired-end RNA-seq data of E15.5 germ and somatic cells (saline control; <xref rid="fig3" ref-type="fig">Figure 3A</xref>). Previously annotated exon 1 variants have been arbitrarily labeled as exons 1A through 1G (with exon 1A being closest to exon 2). Three novel exon 1 splice sites identified in this study have been labeled as predicted exons 1α, 1β, and 1γ (marked by the dotted blue lines).</p><p>(E) RT-PCR validation of exon 1 variant usage in bulk E15.5 ovary, as well as sorted populations of germ and somatic cells at E15.0. Total mouse cDNA and water serve as positive and negative controls for all reactions, respectively. E15.5 total lung lysate serves as a positive control for GR expression. Primer set spanning <italic>Nr3c1</italic> exon 2-3 junction (present in all isoforms) was used as a positive control for total <italic>Nr3c1</italic> transcript.</p></caption>
<graphic xlink:href="547215v1_fig1.tif" mimetype="image" mime-subtype="tiff"/>
</fig>
<p>At postnatal day 0 (PN0), IF revealed a small number of oocytes at the cortex of the ovary with nuclear GR, with expression declining and virtually absent by PN2 (apart from sporadic cortical oocytes with cytoplasmic GR) (<bold><xref rid="figs1" ref-type="fig">Figure S1B</xref></bold>). GR was not expressed in postnatal oocytes between PN5 and PN21, nor in adult oocytes of all follicular stages (<bold><xref rid="figs1" ref-type="fig">Figure S1C</xref></bold>). In the somatic compartment, GR was virtually absent from FOXL2<sup>+</sup> granulosa cells, but was strongly expressed in the theca cell layer (marked by α-SMA <sup><xref ref-type="bibr" rid="c35">35</xref></sup>) from as early as PN7 through adulthood (<bold><xref rid="figs1" ref-type="fig">Figure S1D</xref></bold>).</p>
<p>It has been hypothesized that spatiotemporal differences in GR expression across different tissues can be due to the use of alternative, non-coding <italic>Nr3c1</italic> exon 1 splice isoforms in different cell types <sup><xref ref-type="bibr" rid="c36">36</xref></sup>. To explore this possibility, we looked for evidence of exon 1 alternative splicing in our paired-end RNA-seq data of E15.5 sorted Oct4-GFP<sup>+</sup> germ cells and GFP<sup>−</sup> somatic cells (see <bold><xref rid="fig2" ref-type="fig">Figure 2D</xref></bold> for details). Sashimi plots visualizing the junctions between exon 2 and known exon 1 variants demonstrated that while somatic cells exclusively use exon 1B, 1D and 1F, female germ cells use a much wider range of known exon 1 variants, including 1A, 1B, 1C, 1D and 1F (<bold><xref rid="fig1" ref-type="fig">Figure 1D</xref></bold>). Surprisingly, we also found evidence of three novel splice isoforms exclusively in the germ cells, labeled here as predicted exons 1α, 1β, and 1γ (<bold><xref rid="fig1" ref-type="fig">Figure 1D</xref></bold>, blue lines). These cell type-specific patterns of exon 1 isoform usage were validated using RT-PCR on bulk and sorted populations, with primers designed specifically to amplify each of the known and predicted exon junctions (<bold><xref rid="fig1" ref-type="fig">Figure 1E</xref></bold>). This wider diversity of <italic>Nr3c1</italic> exon 1 variants in the female germline suggests that alternative promoters may be cooperatively regulating the expression of GR, thus leading to the more dynamic temporal regulation of GR seen in the germline in comparison to the soma.</p>
<fig id="fig2" position="float" orientation="portrait" fig-type="figure">
<label>Figure 2</label>
<caption><title>Genetic deletion of the glucocorticoid receptor leads to minimal changes in fetal oocytes</title>
<p>(A) IF staining for GR in E17.5 ovaries. GR<sup>flox/KO</sup> ovaries, which contain one functional floxed allele of GR show robust GR expression, whereas GR<sup>KO/KO</sup> ovaries homozygous for the deletion allele show complete loss of GR. Scale bars: 30 μm.</p><p>(B) Western blot performed on whole cell lysate prepared from entire E13.5 embryos of different genotypes. Membranes were blotted with a GR antibody that recognizes all known GR isoforms, as well as GAPDH as a loading control.</p><p>(C) qRT-PCR on bulk E15.5 WT (n=3) and KO (n=5) ovaries for <italic>Nr3c1</italic>, normalized to 18S ribosomal RNA housekeeping gene using 2<sup>-ΔΔCt</sup> quantification method. Data are mean ± s.d., and p-values were calculated for each gene using a two-tailed, unpaired t-test, where ****: p ≤ 0.0001.</p><p>(D) Meiotic spreads performed on germ cell nuclei from E15.5 WT and GR KO ovaries, Left: representative images of meiotic prophase I staging of spreads co-stained with SYCP3 (green), SYCP1 (magenta), and γH2AX (red). Right: Quantification of relative substages based on manual scoring. For WT spreads, a total of 590 nuclei from five embryos were counted; For GR KO spreads, a total of 817 nuclei from seven embryos were counted. L: Leptotene; EZ: Early Zygotene; LZ: Late Zygotene; EP: Early Pachytene; LP: Late Pachytene.</p><p>(E) qRT-PCR on bulk E15.5 WT (n=3) and KO (n=5) ovaries for a panel of meiotic genes, normalized to 18S ribosomal RNA housekeeping gene using 2<sup>-ΔΔCt</sup> quantification method. <italic>Nr3c1</italic> serves as a positive control to confirm complete GR knockout, and <italic>Gapdh</italic> serves as an unchanged negative control. Data are mean ± s.d., and p-values were calculated for each gene using a two-tailed, unpaired t-test, where ****: p ≤ 0.0001, n.s.: not significant.</p><p>(F) Bulk RNA-seq performed on Tg:Oct4-GFP<sup>+</sup> sorted germ cells from E17.5 gonads. For each genotype, 3-4 single-embryo biological replicates were used for low-input library prep followed by 3’ Tag-Seq. Volcano plots show differentially expressed genes (logFC ≥ 0.6; adjusted p-value ≤ 0.05) between: (i) WT male and WT female germ cells, (ii) WT and GR KO female germ cells, and (iii) Oct4-CreERT2<sup>+</sup> GR conditional knockout (cKO) female germ cells and floxed Cre-negative controls.</p></caption>
<graphic xlink:href="547215v1_fig2.tif" mimetype="image" mime-subtype="tiff"/>
</fig>
</sec>
<sec id="s2b">
<title>Genetic deletion of GR leads to minimal changes in the female germline</title>
<p>The strong, nuclear localization of GR in germ cells of the fetal ovary led us to hypothesize that GR may be functioning as a transcriptional regulator of early oocyte development. This possibility was raised in a single-cell RNA-seq study of the developing mouse ovary that noted that GR expression is highly correlated with progression of fetal oocytes through prophase I <sup><xref ref-type="bibr" rid="c23">23</xref></sup>. In zebrafish, genetic ablation of GR led to accelerated ovarian aging and decline in fertility later in life <sup><xref ref-type="bibr" rid="c37">37</xref>–<xref ref-type="bibr" rid="c39">39</xref></sup>. To interrogate the potential role of GR in meiosis, we utilized a mouse line with a constitutive genetic deletion of GR. <italic>Nr3c1</italic> exon 3 floxed mice were crossed to a constitutive β-actin Cre mouse line to generate a constitutive null allele of GR (henceforth referred to as “KO”). <italic>Nr3c1</italic> exon 3 deletion has previously been shown to result in efficient loss of functional GR protein (reviewed extensively elsewhere <sup><xref ref-type="bibr" rid="c16">16</xref></sup>), which we confirmed by IF at E17.5 (<bold><xref rid="fig2" ref-type="fig">Figure 2A</xref></bold>), immunoblot at E13.5 (<bold><xref rid="fig2" ref-type="fig">Figure 2B</xref></bold>), and qRT-PCR at E15.5 (<bold><xref rid="fig2" ref-type="fig">Figure 2C</xref></bold>). To functionally test whether meiotic progression was delayed or disrupted following loss of GR, we scored meiotic prophase I in spreads for E15.5 WT and KO ovaries stained for SYCP3, SYCP1 and γH2AX (<bold><xref rid="fig2" ref-type="fig">Figure 2D</xref></bold>). No significant changes in substage distribution could be detected between WT and KO nuclei, suggesting that loss of GR does not disrupt meiotic progression. qRT-PCR on E15.5 WT and KO bulk ovary tissue for a panel of genes known to have important roles in meiotic progression similarly revealed no changes in the transcription of meiotic genes (<bold><xref rid="fig2" ref-type="fig">Figure 2E</xref></bold>).</p>
<p>To assess whether GR regulates the transcriptional landscape of alternative cellular pathways in the female germline, we employed two orthogonal transcriptomic approaches. We first performed low-input RNA-seq on FACS-sorted Oct4-GFP<sup>+</sup> germ cells from individual WT and KO ovaries at E17.5. While our differential gene expression analysis pipeline revealed robust expression differences between WT female and WT male germ cells (<bold><xref rid="fig2" ref-type="fig">Figure 2F, i</xref></bold>), we saw no statistically significant differentially expressed genes between female WT and KO germ cells (<bold><xref rid="fig2" ref-type="fig">Figure 2F, ii</xref></bold>). Conditional deletion of GR specifically in the germ cells using <italic>Oct4-CreERT2</italic> yielded the same result (<bold><xref rid="fig2" ref-type="fig">Figure 2F, iii</xref></bold>). In tandem, we performed single-cell RNA-seq on E15.5 WT and KO germ cells. All expected cell types of the fetal ovary were detected in both WT and KO embryos (<bold><xref rid="figs2" ref-type="fig">Figure S2A</xref></bold>), and total <italic>Nr3c1</italic> transcript was depleted in all cell types of the ovary (<bold><xref rid="figs2" ref-type="fig">Figure S2B</xref></bold>). Differential gene expression analysis of WT and KO cells within the germ cell cluster revealed an extremely low number of differentially expressed genes with minor fold changes (<bold><xref rid="figs2" ref-type="fig">Figure S2C</xref>)</bold>, corroborating our bulk RNA-seq results that the loss of GR has little effect on the transcriptional landscape of fetal oocytes.</p>
</sec>
<sec id="s2c">
<title>Developing ovarian somatic cells, but not germ cells, show GR transcriptional activation following exogenous glucocorticoid treatment</title>
<p>While homeostatic GR signaling does not appear to regulate fetal oocyte gene expression or meiotic progression, we next asked whether the GR agonist dexamethasone (dex) could elicit a transcriptional response in the female germline. Pregnant dams were administered either 10 μg dex / g or saline vehicle by intraperitoneal (IP) injection daily from E12.5 to E15.5, coinciding with the window of highest GR expression in the female germline. We validated this dosing regimen by sufficiency to induce expression of the canonical GR response gene <italic>Fkbp5</italic> in bulk ovary, testis, and lung tissue of E15.5 embryos (<bold><xref rid="figs3" ref-type="fig">Figure S3A</xref></bold>), confirming dex was able to transit the placenta to the embryos. Accordingly, we performed bulk RNA-seq on sorted Oct4-GFP<sup>+</sup> germ cells and total GFP<sup>−</sup> somatic cells from E15.5 ovaries of dex vs saline-treated dams. While the somatic cells showed a robust transcriptional response following dex treatment (1477 total differential genes with adjusted p-value ≤ 0.05), by comparison, the response was severely dampened in germ cells (156 total differential genes with adjusted p-value ≤ 0.05; <bold><xref rid="fig3" ref-type="fig">Figure 3A</xref></bold>). GO term analysis of differentially expressed genes from the somatic cells showed low fold enrichment across a wide range of unrelated categories, likely due to the heterogeneity of the GFP<sup>−</sup> population (<bold><xref rid="figs3" ref-type="fig">Figure S3B</xref></bold>). The set of upregulated (i.e. dex-induced) genes in the germ cells did not show any significant GO term enrichment (<bold><xref rid="figs3" ref-type="fig">Figure S3B</xref></bold>). The few downregulated germ cell genes showed an enrichment for ribosomal assembly and translation (<bold><xref rid="figs3" ref-type="fig">Figure S3B</xref></bold>), although we did not detect significant changes in protein levels of any germ cell marker assessed. In somatic gonad cells, we verified that the dex-induced transcriptional changes led to changes at the protein level using an <italic>ex vivo</italic> culture system. Fetal ovaries dissected at E14.5 and cultured in hormone-depleted medium for 48 hours with and without 1 μM dex confirmed upregulation of PLZF (<italic>Zbtb16</italic>, the most highly upregulated gene in the somatic cells by RNA-seq) specifically in the Tg:Oct4-GFP<sup>−</sup> soma and not the GFP<sup>+</sup> germ cells (<bold><xref rid="fig3" ref-type="fig">Figure 3B, i</xref></bold>). Utilizing the same culture system, we analyzed meiotic spreads and confirmed that dex treatment does not alter meiotic prophase, in line with the lack of transcriptional response (<bold><xref rid="figs3" ref-type="fig">Figure S3C</xref></bold>).</p>
<fig id="fig3" position="float" orientation="portrait" fig-type="figure">
<label>Figure 3</label>
<caption><title>Developing ovarian somatic cells, but not germ cells, show robust GR transcriptional activation following exogenous glucocorticoid treatment.</title>
<p>(A) Bulk RNA-seq performed on sorted Tg:Oct4-GFP<sup>+</sup> germ cells and GFP<sup>−</sup> somatic cells from fetal ovaries dosed <italic>in vivo</italic> with dex. Pregnant dams were injected via IP with either 10 μg / g dex or a saline vehicle control at E12.5, E13.5, E14.5 and E15.5, and ovaries were collected for sorting at E15.5. Three biological replicates were used per condition, each consisting of sorted cells from ovaries pooled together from a minimum of two entire independently dosed litters. Volcano plots show dex-induced differentially expressed genes (adjusted p-value ≤ 0.05) either upregulated (magenta) or downregulated (green) in comparison to vehicle controls for both germ cells, as well as total somatic cell population.</p><p>(B) <italic>Ex vivo</italic> culture of E14.5 ovaries for 48 hr with and without 1 μM dex. (i) IF staining for PLZF (<italic>Zbtb16</italic>) showing induction specifically in the Tg:Oct4-GFP<sup>−</sup> soma, scale bars: 30 μm. (ii) GR shows dynamic subcellular localization in response to ligand, Scale bars: 15 μm.</p><p>(C) Western blot performed on whole cell lysate prepared from adult lung, adult pancreas, adult liver, E13.5 whole ovary, and PN0 whole testis. Membranes were blotted with a GR antibody that recognizes all known GR isoforms, as well as GAPDH as a loading control. The full-length GR protein (“FL GR”) can be seen at just above 90 kDa, and while the truncated inhibitory isoform of GR (“GR-D”) can be seen just below 50 kDa.</p><p>(D) Sashimi plots showing lack of evidence for intron 8 retention, which would lead to the inhibitory GRβ transcriptional isoform in either ovarian germ or somatic cells. Plots were generated from paired-end RNA-seq data of E15.5 germ and somatic cells (saline control; <xref rid="fig3" ref-type="fig">Figure 3A</xref>).</p></caption>
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<sec id="s2d">
<title>GR in fetal oocytes relocalizes in response to ligand, but resistance to glucocorticoid signaling cannot be explained by the presence of inhibitory isoforms</title>
<p>The observed lack of a transcriptional response in the germ cells to both deletion of GR and dex treatment in contrast to adjacent somatic cells led us to hypothesize that the female germline may be resistant to GR signaling. As the function of GR as a transcription factor requires nuclear localization, we tested whether its subcellular localization is altered in response to ligand. In ovaries cultured <italic>ex vivo</italic> without dex, GR localized to the cytoplasm of virtually all germ cells; in contrast, dex-treated cultures retained nuclear localization similar to fetal oocytes <italic>in vivo</italic> (<bold><xref rid="fig3" ref-type="fig">Figure 3B, ii</xref></bold>). As GR localization still dynamically responded to the presence or absence of ligand, despite not robustly altering transcription, an alternative modification to the GR protein specifically in the germ cells could be accounting for this attenuated activity.</p>
<p>GR is a highly modified protein, with a wide range of transcriptional isoforms, translational isoforms, and post-translational modifications described to date <sup><xref ref-type="bibr" rid="c40">40</xref></sup>. Multiple translation initiation sites in the <italic>Nr3c1</italic> gene lead to a variety of protein isoforms with varying truncations in the regulatory N-terminal domain of the protein <sup><xref ref-type="bibr" rid="c41">41</xref></sup>. The most truncated forms of GR (the “GR-D” isoforms) can exert an inhibitory dominant negative effect <sup><xref ref-type="bibr" rid="c41">41</xref></sup>. We used an antibody designed specifically to recognize all known GR isoforms to immunoblot E13.5 ovary lysate but did not detect any GR-D isoforms (∼50 kDa or less), confirming that this dominant negative isoform is not the cause of decreased GR activity in the germline (<bold><xref rid="fig3" ref-type="fig">Figure 3C</xref></bold>). In mice, alternative splicing and subsequent retention of <italic>Nr3c1</italic> intron 8 results in a GRβ isoform that functions as a dominant negative regulator of the predominant GRα isoform <sup><xref ref-type="bibr" rid="c42">42</xref></sup>. However, we saw no evidence of intron 8 retention in our paired-end RNA-seq reads (<bold><xref rid="fig3" ref-type="fig">Figure 3D</xref></bold>), suggesting that the GRβ isoform is also not the cause of attenuated GR activity in fetal oocytes.</p>
</sec>
<sec id="s2e">
<title>Spatiotemporal expression of GR in the male germline</title>
<p>We next characterized the expression pattern of GR in the testis by IF from E12.5 through E18.5. In stark contrast to the female, germ cells of the fetal testis (marked by Tg:Oct4-GFP) showed no GR expression during early sex differentiation (<bold><xref rid="fig4" ref-type="fig">Figure 4A</xref></bold>). It was not until E17.5 that male germ cells began to express GR, and by E18.5, over 90% of all germ cells harbored GR in the nucleus (<bold><xref rid="fig4" ref-type="fig">Figure 4A</xref>, <xref rid="fig4" ref-type="fig">4B</xref></bold>). We employed a similar quantitative imaging analysis as in the female to confirm that GR expression peaked in the male at E18.5 (<bold><xref rid="fig4" ref-type="fig">Figure 4C</xref></bold>).</p>
<fig id="fig4" position="float" orientation="portrait" fig-type="figure">
<label>Figure 4</label>
<caption><title>The glucocorticoid receptor is expressed in the perinatal prospermatogonia and the adult spermatogonia.</title>
<p>(A) IF staining showing expression of GR in mouse fetal testis sections at E13.5 (left) and E18.5 (right), counterstained with DAPI. Germ cells are marked by transgenic Oct4-GFP. Cellular membranes were stained with wheat germ agglutinin (WGA) to facilitate computational segmentation of individual cells. Scale bars: 15 μm.</p><p>(B) Quantification of GR subcellular localization within germ cells of the fetal testis. Cells from the testes of three individual embryos were scored manually, with a total of 2393 cells and 1364 cells analyzed at E13.5 and E18.5, respectively.</p><p>(C) Quantitative IF analysis of relative GR protein expression across developmental time in germ cells. Individual cells were computationally segmented using WGA, and GR protein levels were normalized to DAPI on an individual cell basis. Images and total cell numbers counted were obtained from a minimum of three testes from three independent embryos at each developmental stage.</p><p>(D) IF staining showing expression of GR in mouse adult testis sections. GR expression overlaps with PLZF<sup>+</sup> undifferentiated spermatogonia (top) and c-KIT<sup>+</sup> differentiating spermatogonia (bottom), zoomed images to highlight overlapping expression. Scale bars: 50 μm</p></caption>
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<p>As GR levels in prospermatogonia peaked at the end of fetal development, we next asked whether expression was maintained into postnatal development. Staining between PN0 (not shown) and PN2 revealed that strong nuclear GR expression was maintained in the TRA98<sup>+</sup> germ cells shortly after birth (<bold><xref rid="figs4" ref-type="fig">Figure S4A</xref></bold>). At PN1, we also observed a wider diversity of <italic>Nr3c1</italic> exon 1 variants in the germ cells when compared to the soma (<bold><xref rid="figs4" ref-type="fig">Figure S4C</xref></bold>), consistent with observations in fetal oocytes. Staining at PN7, PN10 and PN14 revealed that GR expression was maintained in both PLZF<sup>+</sup> and c-KIT<sup>+</sup> spermatogonia, although at lower levels than at PN2 (<bold><xref rid="figs4" ref-type="fig">Figure S4A</xref>, <xref rid="figs4" ref-type="fig">S4B</xref></bold>). As anticipated based on prior reports <sup><xref ref-type="bibr" rid="c17">17</xref>–<xref ref-type="bibr" rid="c19">19</xref>,<xref ref-type="bibr" rid="c43">43</xref>,<xref ref-type="bibr" rid="c44">44</xref></sup>, GR expression appeared high in the surrounding peritubular myoid cells and Leydig cells of the interstitium at all timepoints observed. By PN21, GR became highly restricted to the undifferentiated (PLZF<sup>+</sup>) and differentiating (c-KIT<sup>+</sup>) spermatogonia, yet was absent from more mature spermatocytes or spermatids (<bold><xref rid="figs4" ref-type="fig">Figure S4A</xref>, <xref rid="figs4" ref-type="fig">S4B</xref></bold>). Furthermore, this spermatogonia-restricted expression pattern was maintained into adulthood (<bold><xref rid="fig4" ref-type="fig">Figure 4D</xref></bold>), suggesting a potential stage specific role for GR in the male germline.</p>
</sec>
<sec id="s2f">
<title>Germ cells of the perinatal testis show GR transcriptional regulation following exogenous glucocorticoid treatment</title>
<p>As fetal oocytes appeared to be resistant to both loss and overactivation of GR signaling, we next asked whether the male germline was similar. We performed bulk RNA-seq on sorted Oct4-GFP<sup>+</sup> germ cells and GFP<sup>−</sup> somatic cells isolated from PN1 testes after administering dex at E17.5, E18.5 and PN0 (as outlined in <bold><xref rid="fig5" ref-type="fig">Figure 5A</xref></bold> and Materials &amp; Methods section). In contrast to the female, differential expression analysis revealed a pronounced transcriptional response in male germ cells following dex treatment, within the same order of magnitude as the GFP<sup>−</sup> soma (<bold><xref rid="fig5" ref-type="fig">Figure 5A</xref></bold>). GO term analysis on differentially expressed genes in the germ cells following dex treatment revealed a strong enrichment for genes related to the regulation of mRNA splicing (<bold><xref rid="figs5" ref-type="fig">Figure S5A</xref></bold>). The regulation of RNA splicing in germline cells is crucial for the proper progression of meiosis and spermatogenesis <sup><xref ref-type="bibr" rid="c45">45</xref>–<xref ref-type="bibr" rid="c57">57</xref></sup>, and is conserved across species <sup><xref ref-type="bibr" rid="c58">58</xref>–<xref ref-type="bibr" rid="c60">60</xref></sup>. Downregulated genes also showed an enrichment for mitotic cell cycle progression, which is of interest at this PN1 time point given that the mitotically-arrested male germ cells will begin to re-enter mitosis at approximately PN2 <sup><xref ref-type="bibr" rid="c61">61</xref>–<xref ref-type="bibr" rid="c63">63</xref></sup>. GO analysis of differentially expressed genes in treated somatic cells showed a wider variety of terms, which is likely due to the heterogeneity of GFP<sup>−</sup> cells collected. Downregulated genes were broadly enriched for extracellular matrix organization and cellular adhesion, whereas upregulated genes showed enrichment for canonical glucocorticoid response genes.</p>
<fig id="fig5" position="float" orientation="portrait" fig-type="figure">
<label>Figure 5</label>
<caption><title>Glucocorticoid receptor signaling regulates the expression of RNA splicing factors in prospermatogonia.</title>
<p>(A) Bulk RNA-seq performed on sorted Tg:Oct4-GFP<sup>+</sup> germ cells and GFP<sup>−</sup> somatic cells from postnatal testes dosed in vivo with dex. Pregnant dams were injected via IP with either 10 μg / g dex or a saline vehicle control at E17.5 and E18.5. Pups were then dosed with either dex or saline via subcutaneous injection at PN0, and testes were collected for sorting at PN1. Three biological replicates were used per condition, each consisting of sorted cells from testes pooled together from a minimum of two entire independently dosed litters. Volcano plots show dex-induced differentially expressed genes (adjusted p-value ≤ 0.05) either upregulated (orange) or downregulated (cyan) in comparison to vehicle controls for both germ cells, as well as total somatic cell population.</p><p>(B) qRT-PCR performed on bulk PN2 testis tissue from mice dosed with dex. Pregnant dams were injected via IP with either 1 μg /g dex, 10 μg / g dex, or a saline vehicle control at E17.5 and E18.5, and then pups were dosed with the equivalent condition via subcutaneous injection at PN0 and PN1. Genes queried were for RNA splicing factors found to be differentially downregulated in germ cells in the RNA-seq data (<xref rid="fig5" ref-type="fig">Figure 5A</xref>). Data are mean ± s.d., normalized to 18S ribosomal RNA housekeeping gene using 2<sup>-ΔΔCt</sup> quantification method, and p-values were calculated for each dose comparison using a two-tailed, unpaired t-test, where *: p ≤ 0.05; **: p ≤ 0.01; n.s.: not significant.</p><p>(C) Differential transcript splicing analysis performed on sequencing reads derived from PN1 dex-dosed germ cells (<xref rid="fig5" ref-type="fig">Figure 5A</xref>). Paired-end RNA-seq results were analyzed using rMATS to detect significant differences in alternative splicing events between saline- and dex-treated germ cells. (Left) Bar graph showing raw numbers of significant (FDR ≤ 0.05) alternative splicing events, broken down by category. (Right) Representative sashimi plots highlighting select examples of “skipped exons” events that are differentially regulated in germ cells in response to dex treatment.</p></caption>
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</sec>
<sec id="s2g">
<title>Regulation of mRNA splicing in the early postnatal testis</title>
<p>Given the crucial role of transcript splicing in spermatogenesis, we first validated this potential link between GR and splicing. To our knowledge, no prior studies have implicated GR in the regulation of mRNA splicing in any cell type to date. To quantify any dose-dependent changes in splice factor gene expression, we performed qRT-PCR on bulk PN2 testis tissue from mice treated with three different doses of dex (0, 1, and 10 μg / g). Both <italic>Tra2b</italic> (a regulator of exon inclusion/skipping known to be expressed in the testis <sup><xref ref-type="bibr" rid="c64">64</xref></sup>) and <italic>Srsf7</italic> (a member of the SR-rich family of pre-mRNA splicing factors) showed a significant and dose-dependent decrease in expression in response to dex, confirming our RNA-seq results (<bold><xref rid="fig5" ref-type="fig">Figure 5B</xref></bold>). To test whether this dex-dependent decrease in a subset of splicing factors resulted in any changes in transcript isoforms within the germ cells, we utilized rMATS <sup><xref ref-type="bibr" rid="c65">65</xref></sup> to specifically quantify differential splicing events from our paired-end RNA-seq data. This analysis revealed 63 splicing events that were significantly altered in response to dex (<bold><xref rid="fig5" ref-type="fig">Figure 5C</xref></bold>), with the vast majority categorized as skipped exon events. Together, these results confirmed a dex-dependent decrease in splice factor expression that may lead to exon skipping events in the male germline.</p>
</sec>
<sec id="s2h">
<title>Conditional deletion of GR in the male germline does not impact fertility</title>
<p>Given this link between GR signaling and splicing and the known role of transcript splicing in regulating spermatogenesis <sup><xref ref-type="bibr" rid="c45">45</xref>–<xref ref-type="bibr" rid="c57">57</xref></sup>, we next sought to assess whether loss of GR would impact male fertility. Because full body deletion of GR results in lethality at birth due to defects in lung maturation <sup><xref ref-type="bibr" rid="c66">66</xref></sup>, we generated a conditional deletion of GR in the germline using a transgenic <italic>Blimp1-Cre</italic> line <sup><xref ref-type="bibr" rid="c67">67</xref></sup>. GR<sup>flox/flox</sup> females were bred to GR<sup>KO/+</sup> males harboring the <italic>Blimp1-Cre</italic> transgene to obtain conditional knockout (cKO) pups with the genotype GR<sup>KO/flox</sup> ; Blimp1-Cre<sup>+</sup>, (where GR<sup>+/flox</sup> ; Blimp1-Cre<sup>neg</sup> served as wildtype controls). IF staining at PN30 confirmed clear germ cell-specific loss of GR in the c-KIT<sup>+</sup> prospermatogonia (<bold><xref rid="fig6" ref-type="fig">Figure 6A</xref></bold>), as well as the PLZF<sup>+</sup> prospermatogonia (<bold><xref rid="figs6" ref-type="fig">Figure S6A</xref></bold>). To assess the fertility of GR cKO mice, six week old males were crossed to wildtype females, and the presence of vaginal plugs and litter size were monitored for eight weeks. All genotypes were able to mate and form vaginal plugs normally (data not shown). Control mice containing the <italic>Blimp1-Cre</italic> transgene, but functionally wild-type for GR (GR<sup>flox/+</sup>) showed a significant decrease in the number of sired pups (<bold><xref rid="fig6" ref-type="fig">Figure 6B</xref></bold>), consistent with previously reported subfertility with this allele <sup><xref ref-type="bibr" rid="c68">68</xref></sup>. GR cKO males were still fertile and produced viable pups (<bold><xref rid="fig6" ref-type="fig">Figure 6B</xref></bold>). Although GR cKO males sired significantly less pups than WT controls, this was not significantly different from the effect produced by the presence of the <italic>Blimp1-Cre</italic> allele alone (<bold><xref rid="fig6" ref-type="fig">Figure 6B</xref></bold>). We therefore conclude that conditional deletion of GR in the germline does not further exacerbate the subfertility phenotype caused by the <italic>Blimp1-Cre</italic> allele, and ultimately yields viable progeny.</p>
<fig id="fig6" position="float" orientation="portrait" fig-type="figure">
<label>Figure 6</label>
<caption><title>Conditional deletion of GR in the male germline does not affect fertility</title>
<p>(A) Validation of Blimp1-Cre mediated GR conditional knockout model by IF staining of PN30 testes, showing specific loss of GR in c-KIT<sup>+</sup> spermatogonia. Genotypes are represented as cKO (GR<sup>KO/flox</sup> ; Blimp1-Cre<sup>+</sup>) and WT (GR<sup>flox/+</sup> ; Blimp1-Cre<sup>neg</sup>). Scale bars: 50 μm.</p><p>(B) Fertility test of GR conditional knockout males and controls, comparing number of pups sired per litter by genotype. Data are mean ± s.d., and p-values were calculated between groups using a two-tailed, unpaired t-test, where ****: p ≤ 0.0001, ***: p ≤ 0.001 and n.s.: not significant</p></caption>
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</sec>
<sec id="s3">
<title>Discussion</title>
<p>The growing evidence that stress-induced phenotypes can persist across multiple generations has sparked considerable interest in understanding the mechanisms by which stress can act on the germline. Our efforts to characterize the role of GR-mediated signaling in male and female germ cells represent an important step in understanding the germ cell intrinsic effects that stress hormones can play on the integrity of the germline and subsequent transmission of genetic information across generations. In this study, we confirmed that germ cells of the testis and the ovary both show dynamic temporal regulation of GR expression over fetal and adult development, with distinct sex-specific differences in expression. We demonstrated that in the context of pharmacologic activation or genetic deletion of GR, fetal oocytes show minimal transcriptional changes and no significant changes in progression through meiotic prophase I, suggesting that the fetal oocytes are somehow resistant to changes in GR signaling. In contrast, we show that prospermatogonia downregulate genes important for RNA splicing in response to GR activation, suggesting a potential role for stress signaling in regulating transcript diversity in the male germline. Together, our work demonstrates a sexually dimorphic response to GR signaling within the germline, and suggests alternative mechanisms by which the male and female germline may be differentially affected by stress.</p>
<sec id="s3a">
<title>Glucocorticoid receptor immunofluorescence in the ovary and testis: discrepancies and similarities with the literature</title>
<p>Our time course of GR expression in the fetal ovary revealed a peak in GR expression in E13.5 fetal oocytes (<bold><xref rid="fig1" ref-type="fig">Figure 1C</xref></bold>), a result highly consistent with a scRNA-seq study that found GR was expressed in the developing oocytes (at both the transcript and protein level) between E12.5 to E14.5 <sup><xref ref-type="bibr" rid="c23">23</xref></sup>. To our knowledge, there is no published evidence of GR protein in the adult rodent ovary to date. We were unable to detect any appreciable levels of GR by IF in the adult oocytes of any follicular stage (<bold><xref rid="figs1" ref-type="fig">Figure S1C</xref></bold>), which contrasts with prior GR staining in caprine ovaries that showed expression in primordial and antral oocytes <sup><xref ref-type="bibr" rid="c69">69</xref></sup>. It is unclear whether this discrepancy is due to genuine species-specific differences, or due to differences in sample preparation or antibodies used. In humans, while GR has been detected in fetal oocytes at gestational week 9.2 <sup><xref ref-type="bibr" rid="c22">22</xref></sup>, the expression of GR in the adult ovary remains an open question.</p>
<p>Spatiotemporal localization of GR in the male germline here, however, is consistent with prior studies. In the somatic compartment, we observed strong and reproducible staining for GR in the peritubular myoid cells and interstitial Leydig cells of the fetal, postnatal and adult testis (<bold><xref rid="fig4" ref-type="fig">Figures 4A</xref>, <xref rid="fig4" ref-type="fig">4D</xref>, <xref rid="figs4" ref-type="fig">S4A</xref>, <xref rid="figs4" ref-type="fig">S4B</xref></bold>), consistent with previous studies <sup><xref ref-type="bibr" rid="c17">17</xref>–<xref ref-type="bibr" rid="c19">19</xref>,<xref ref-type="bibr" rid="c43">43</xref>,<xref ref-type="bibr" rid="c44">44</xref></sup>. In the late postnatal and adult testis, we observed a highly specific pattern of GR expression in the germline, where it became restricted to undifferentiated (PLZF<sup>+</sup>) spermatogonia and differentiating (c-KIT<sup>+</sup>) spermatogonia (<bold><xref rid="fig4" ref-type="fig">Figures 4D</xref>, <xref rid="figs4" ref-type="fig">S4A</xref>, <xref rid="figs4" ref-type="fig">S4B</xref></bold>). This result is consistent with multiple rodent and human studies showing staining in the spermatogonia <sup><xref ref-type="bibr" rid="c18">18</xref>–<xref ref-type="bibr" rid="c21">21</xref></sup>.</p>
</sec>
<sec id="s3b">
<title>Discovery of novel germ cell-specific exon 1 isoforms in the 5’ UTR of Nr3c1</title>
<p>Previous studies attribute the dynamic spatiotemporal regulation of GR across different cell types to the use of alternative promoters and exon 1 variants in the 5’ UTR of <italic>Nr3c1</italic> <sup><xref ref-type="bibr" rid="c36">36</xref>,<xref ref-type="bibr" rid="c70">70</xref></sup>. In both the ovary and the testis, we observed that <italic>Nr3c1</italic> transcripts produced by the germ cells use a wider combination of exon 1 variants (both previously annotated, and novel germ cell-specific variants) than their corresponding somatic cells (<bold><xref rid="fig1" ref-type="fig">Figure 1D</xref>, <xref rid="figs4" ref-type="fig">S4C</xref></bold>), which was surprising given the cellular heterogeneity of the GFP<sup>−</sup> somatic cell fractions. This suggests that a larger diversity of upstream regulatory DNA sequences may be available for regulating GR expression more dynamically in the germline compared to the soma. We also observed that in both the testis and ovary, GR is expressed just prior to the onset of meiotic initiation in male and female germ cells. This suggests GR may have an upstream regulatory element that is either regulated by a meiotic transcription factor, or that is sensitive to changes in the chromatin landscape induced in germ cells upon meiotic initiation.</p>
</sec>
<sec id="s3c">
<title>The female germline is insulated from changes in GR-mediated signaling</title>
<p>Given that GR is a potent transcription factor with a wide variety of functions across cell types <sup><xref ref-type="bibr" rid="c16">16</xref></sup>, it was striking to find that both complete genetic deletion of GR and robust pharmacologic activation led to minimal changes in the transcriptional landscape of the female germline (<bold><xref rid="fig2" ref-type="fig">Figures 2F</xref>, <xref rid="figs2" ref-type="fig">S2C</xref>, <xref rid="figs3" ref-type="fig">3A</xref></bold>). Furthermore, the robust response of the ovarian soma, yet not of the germ cells, to dex administration between E12.5 - E15.5 (<bold><xref rid="fig3" ref-type="fig">Figure 3A</xref></bold>) indicated that this was not a technical artifact, and instead suggested that the transcriptional response to changes in GR signaling was buffered in the cellular context of fetal oogonia. This is an interesting premise, as it may be advantageous for the germ cells to evolve protection against rampant GR-induced transcriptional changes in response to stress hormones experienced during gestation. Why the female germline has retained temporally restricted expression of GR given its apparent lack of a functional role, however, remains unclear. We have shown there is no evidence for inhibitory isoforms of GR, including both known truncated protein isoforms, as well as the GRβ transcriptional isoform (<bold><xref rid="fig3" ref-type="fig">Figure 3C</xref>, <xref rid="fig3" ref-type="fig">3D</xref></bold>). We did, however, observe that GR is able to change its subcellular localization in response to ligand (<bold><xref rid="fig3" ref-type="fig">Figure 3B, ii</xref></bold>), suggesting that the ligand binding and nuclear translocation abilities of GR remain intact despite this attenuated function in female germ cells.</p>
<p>A possible mechanism for insulating fetal germ cells from response to GR signaling involves post-translational modifications (PTMs) to the receptor that could interfere with its ability to bind DNA, interact with other transcription factors, or recruit other cofactors required for its transcriptional activity. While a wide variety of PTMs to GR have been documented <sup><xref ref-type="bibr" rid="c40">40</xref></sup>, the limiting number of germ cells that can be obtained from the fetal ovary has made the detection of these PTMs via biochemical methods difficult. One particular PTM of interest is acetylation of GR by the circadian histone acetyltransferase protein, CLOCK. Acetylation of lysines within the hinge region of GR by CLOCK has been shown to result in normal ligand binding and nuclear translocation, but a complete loss of the ability of GR to both activate and repress transcription <sup><xref ref-type="bibr" rid="c71">71</xref></sup>, very similar to what is seen in fetal oocytes. Interestingly, our single-cell RNA-seq data shows a strong enrichment for <italic>Clock</italic> expression in the germ cells in comparison to the soma (data not shown), further bolstering the idea that CLOCK could acetylate and inactivate GR specifically in the germ cells. Further biochemical analyses will be required to determine whether GR is being modified in this manner, or by any other PTMs.</p>
</sec>
<sec id="s3d">
<title>GR in the regulation of RNA splicing in the male germline</title>
<p>In contrast to the lack of dex-induced transcriptional changes in the female germ cells, the male germline showed a considerable transcriptional response to dex treatment at PN1 (<bold><xref rid="fig5" ref-type="fig">Figure 5A</xref></bold>). While the somatic cells of the testis showed a more stereotyped glucocorticoid response with induction of canonical GR response genes such as <italic>Tsc22d3</italic>, <italic>Klf9</italic>, and <italic>Per1</italic>, germ cells did not show changes in these canonical genes. Instead, the downregulated transcripts showed a strong enrichment for genes involved in RNA processing and RNA splicing (<bold><xref rid="figs5" ref-type="fig">Figure S5A</xref></bold>). We validated that GR suppression of splice protein expression is dex dose-dependent (<bold><xref rid="fig5" ref-type="fig">Figure 5B</xref></bold>), and found that treatment with dex led to an increase in exon skipping events at specific loci across the genome (<bold><xref rid="fig5" ref-type="fig">Figure 5C</xref></bold>). To our knowledge, this is the first time GR has been implicated in regulating the expression of genes involved in RNA splicing. The ability of stress hormones to induce changes in transcript splicing through GR could pose an evolutionary advantage by increasing the overall transcript diversity of the germline in times of stress, allowing for increased adaptation of the germline to selective pressures from the environment.</p>
</sec>
<sec id="s3e">
<title>Conditional deletion of GR using Blimp1-Cre does not affect male fertility</title>
<p>As proper RNA splicing is crucial for meiotic progression in the spermatogenic lineage <sup><xref ref-type="bibr" rid="c45">45</xref>–<xref ref-type="bibr" rid="c57">57</xref></sup>, perturbations to RNA splicing as a result of elevated GR signaling could have important consequences for fertility. To our surprise, genetic deletion of GR specifically in germ cells of the testis did not appear to alter fertility in an appreciable manner (<bold><xref rid="fig6" ref-type="fig">Figure 6B</xref></bold>). While the subfertility caused by the presence of the <italic>Blimp1-Cre</italic> transgene alone could be masking a more subtle subfertility phenotype caused by loss of GR, it is also possible that homeostatic levels of GR signaling do not regulate splicing. While pharmacologic agonism of GR signaling in the adult testis could lead to more pronounced disruptions to splicing and subsequent fertility than deletion of GR, we were unfortunately unable to test this hypothesis. Both chronic stress and dex administration have been shown to inhibit testosterone production by Leydig cells <sup><xref ref-type="bibr" rid="c72">72</xref>–<xref ref-type="bibr" rid="c81">81</xref></sup>, and given that testosterone is essential for regulating spermatogenesis <sup><xref ref-type="bibr" rid="c82">82</xref></sup>, it was not possible with current tools to tease apart the cell intrinsic effects of dex administration and GR activation specifically in spermatogonia. Future studies using transgenic overexpression of GR in the spermatogonia could address this effect of elevated GR signaling on fertility.</p>
</sec>
<sec id="s3f">
<title>Implications for understanding sex-specific differences in the transgenerational epigenetic inheritance of stress induced phenotypes</title>
<p>Together, our work demonstrates that the male and female germline have differential susceptibilities to GR signaling, which may have important implications for understanding sex-specific differences in the transgenerational inheritance of stress induced phenotypes. In this study, we observed that the male germline shows a robust transcriptional response to GR signaling in comparison to the attenuated response of the female, which may suggest that the male germline is inherently more vulnerable to GR-mediated stress signals. In fact, multiple studies have shown a more pronounced transmission of stress-induced and glucocorticoid-induced phenotypes through the paternal lineage <sup><xref ref-type="bibr" rid="c1">1</xref>,<xref ref-type="bibr" rid="c4">4</xref>,<xref ref-type="bibr" rid="c6">6</xref>,<xref ref-type="bibr" rid="c8">8</xref>,<xref ref-type="bibr" rid="c9">9</xref>,<xref ref-type="bibr" rid="c12">12</xref>–<xref ref-type="bibr" rid="c15">15</xref>,<xref ref-type="bibr" rid="c83">83</xref>,<xref ref-type="bibr" rid="c84">84</xref></sup>, leading to the hypothesis that epigenetic changes to the sperm are a likely causative factor. While it has been shown that some histone modifications such as H3K4me3 can be transmitted transgenerationally through sperm <sup><xref ref-type="bibr" rid="c85">85</xref>,<xref ref-type="bibr" rid="c86">86</xref></sup>, there is also a growing body of evidence demonstrating that regulation of non-coding RNA within the sperm is potentially a major mechanism through which the stress-induced phenotypes are transmitted <sup><xref ref-type="bibr" rid="c3">3</xref>,<xref ref-type="bibr" rid="c29">29</xref>,<xref ref-type="bibr" rid="c87">87</xref>–<xref ref-type="bibr" rid="c90">90</xref></sup>. Our finding that dex-mediated agonism of GR activity in male germ cells leads to an alteration in RNA splicing could represent a mechanism by which stress hormones alter the transcriptional milieu within the spermatogonia, impacting the overall RNA landscape within the germline. Future studies looking into the effect of GR signaling specifically on small non-coding RNAs will be imperative as we attempt to further elucidate the germ cell intrinsic impact of stress hormones on the germline and subsequent transgenerational epigenetic inheritance.</p>
</sec>
</sec>
<sec id="s4">
<title>Materials and Methods</title>
<sec id="s4a">
<title>Mouse husbandry</title>
<p>All animal work was performed under strict adherence to the guidelines and protocols set forth by the University of California San Francisco’s Institutional Animal Care and Use Committee (IACUC), and all experiments were performed in an animal facility approved by the Association for the Assessment and Accreditation of Laboratory Animal Care International (AAALAC). All mice were maintained in a temperature-controlled animal facility with 12 hour light dark cycles, and were given access to food and water ad libitum.</p>
</sec>
<sec id="s4b">
<title>Mouse timed pregnancies</title>
<p>All matings were set in the evenings (15:00 or after), and the presence of a vaginal plug the morning after mating (08:00 – 11:00) was denoted embryonic day 0.5 (E0.5). Pregnant females were dissected at various timepoints, the uterine horns removed into ice-cold 0.4% BSA in PBS, and embryos dissected and staged based on canonical morphologic features. For all postnatal timepoints, postnatal day 0 (PN0) was assigned as the morning a litter was first seen (where litters were dropped the night of E18.5).</p>
</sec>
<sec id="s4c">
<title>Mouse fertility test</title>
<p>Adult male mice (age 6 weeks) were paired with WT, mixed background females (age 6 weeks), and females were monitored daily for the presence of a vaginal plug to indicate mating. For each pairing, number of litters produced and total number of pups per litter were recorded over an 8 week period.</p>
</sec>
<sec id="s4d">
<title>Genotyping</title>
<p>Total genomic DNA was extracted from ear punches or tail tips by boiling in alkaline lysis buffer (25 mM NaOH ; 0.2 mM EDTA) for 45 minutes at 95°C, cooling to 4°C, and then neutralizing with an equal volume of 40 mM Tris-HCl. All genotyping reactions were performed with KAPA HotStart Mouse Genotyping Kit (Roche, 07961316001) with 1 μL of gDNA and a final primer concentration of 5 μM each. Cycler conditions are listed below each table. All PCR products were separated by electrophoresis on a 2% agarose gel in TBS stained with ethidium bromide (VWR, E3050), and genotypes determined based on sizes of DNA products.</p>
</sec>
<sec id="s4e">
<title>Mouse lines used, genotyping primers, and genotyping reactions</title>
<table-wrap id="utbl1" orientation="portrait" position="float">
<graphic xlink:href="547215v1_utbl1.tif" mimetype="image" mime-subtype="tiff"/>
</table-wrap>
</sec>
<sec id="s4f">
<title>Dex <italic>in vivo</italic> dosing</title>
<p>For all <italic>in vivo</italic> dex dosing experiments, a water-soluble form of dex (Sigma, D2915) was utilized to allow for delivery in a saline vehicle (0.9% NaCl w/v in ddH<sub>2</sub>O). The developmental time windows of dex administration were determined based on GR’s germline expression profile, and differed for the male and female germline. Dex dose and time widows varied between experiments, and are outlined for each experiment in the Results section. For all injections, the volume given to both saline and dex treated animals was fixed, where the concentration of dex in the injected solution was scaled to ensure precise dose delivery (normalized to body weight) in the fixed volume. For gestational timepoints (E12.5 - E18.5), pregnant dams were injected via IP injection at approximately 09:00 with 100 μL saline/dex. For postnatal timepoints (PN0 - PN21), pups were weighed and injected subcutaneously (in the back flank) with 20 μL of saline or dex. See experimental schematics for exact doses and timing.</p>
</sec>
<sec id="s4g">
<title><italic>Ex vivo</italic> gonad culture</title>
<p>Fetal ovaries were dissected at E14.5 and pooled into ice cold 0.4% BSA in PBS as described above. Ovaries were cultured in Millicell 24-well hanging inserts, 1.0 μm PET (Millipore, MCRP24H48) at 37°C, 5% CO<sub>2</sub>. Ovaries were cultured in DMEM / F12 base medium (Gibco, 11330-032) supplemented with 10% charcoal-stripped FBS (Sigma, F6765), 1 mM sodium pyruvate (Gibco, 11360070), 0.5X MEM Nonessential Amino Acids (Corning, 25-025-CI), and 100 U/mL pen/strep (Gibco, 15140-122). Bottom chambers were filled with 1.3 mL of media, top inserts with 200 μL of media, and the media was changed daily. For experimental conditions, dex (Sigma, D1756) dissolved in DMSO was added to cultures at a final concentration of 1.0 μΜ.</p>
</sec>
<sec id="s4h">
<title>Embryonic gonad digestion</title>
<p>Fetal gonads were dissected into ice cold 0.4% BSA in PBS, washed once, and maintained on ice until ready for digestion. 0.4% BSA solution was removed and replaced with 100 μL of 0.25% Trypsin-EDTA (Fisher Sci, 25200056) per ovary pair, or 150 μL per testis pair. Samples were incubated in a 37°C water bath for 30 minutes, with gentle pipetting every 10-15 minutes to facilitate the dissociation. After 30 minutes, DNase I (1 mg / mL) was added at a 1:10 dilution, and samples were incubated another 10 minutes at 37°C. Samples were pipetted to ensure complete digestion, and then an equal volume of ice-cold FBS (Gibco, 10437028) was added to inactivate trypsin. To prepare for FACS sorting, Sytox Blue viability dye (Invitrogen, S34857) was added to samples at 1:1000 dilution, and then samples were filtered through a 35 μm filter into FACS tubes (Falcon, 352235).</p>
</sec>
<sec id="s4i">
<title>Fluorescence Activated Cell Sorting (FACS)</title>
<p>To isolate germ cells expressing the <italic>Pou5f1-ΔPE-eGFP</italic> transgene from the GFP<sup>−</sup> somatic compartment, we utilized either a BD FACSAria II or III system. Briefly, cells were gated to remove doublets/multiplets via FSC height vs area comparison, and then dead cells were gated out based on uptake of the Sytox Blue viability dye. GFP<sup>+</sup> germ cells and GFP<sup>−</sup> somatic cells were sorted directly into 300 μL of QIAgen RLT Plus Buffer (with βME). Upon completion of the sort, samples were immediately vortexed for 30 sec and flash frozen.</p>
</sec>
<sec id="s4j">
<title>Tissue Fixation</title>
<p>All mouse gonad tissue was fixed with fresh 4% paraformaldehyde (PFA) in PBS at 4°C with rocking. Fixation times were as follows:</p>
</sec>
<sec id="s4k">
<title>Tissue fixation parameters</title>
<table-wrap id="utbl2" orientation="portrait" position="float">
<graphic xlink:href="547215v1_utbl2.tif" mimetype="image" mime-subtype="tiff"/>
</table-wrap>
</sec>
<sec id="s4l">
<title>Tissue Embedding and Sectioning</title>
<p>Following PFA fixation and PBS washes, embryonic gonads were incubated overnight in 30% sucrose (in PBS) at 4°C. The following day, the tissue was embedded in OCT (Tissue-Tek, 4583) and blocks stored at −80°C until ready for sectioning. For all postnatal and adult tissues, gonads were first incubated in 10% sucrose (in PBS) for about 1-2 hours at 4°C until the tissue sank to the bottom of the tube. Gonads were then transferred to incubate overnight in 30% sucrose (in PBS) at 4°C. The following day, the tissue was transferred to 50/50 OCT / 30% sucrose and allowed to equilibrate for 6 hours at 4°C prior to embedding in 100% OCT. Blocks were similarly stored at −80°C until ready for sectioning. All blocks were sectioned on a Leica 3050S Cryostat at a thickness of 5 – 10 μm depending on the tissue.</p>
</sec>
<sec id="s4m">
<title>Section Immunofluorescence</title>
<p>For all cryosectioned slides, slides were thawed to room temperature and then washed three times (5 min each) with 1X PBS to remove residual OCT. Slides were blocked for one hour at room temperature in 10% heat inactivated donkey serum + 0.1% Triton X-100 in PBS. All primary antibody incubations were performed at 4°C overnight in a humidified chamber, with primary antibodies diluted accordingly in blocking buffer. The next day, slides were washed three times with 1X PBS (5 min each), followed by a one hour incubation at RT with secondary antibodies diluted in blocking buffer. Samples were washed three times with 1X PBS (5 min each), mounted in VECTASHIELD Antifade Mounting Medium (Vector Laboratories, H-1000), and sealed with a coverslip.</p>
</sec>
<sec id="s4n">
<title>Preparation of Meiotic Spreads from Embryonic Ovaries</title>
<p>After dissection, ovary pairs were transferred to 1 mL centrifuge tubes containing 100 μL of dissociation buffer (0.025% Trypsin, 2.5 mg/mL collagenase, and 0.1mg/mL DNase). Samples were incubated in a 37°C water bath for 30 minutes, and were pipetted vigorously every 10 minutes using a P-200 pipette to facilitate digestion. After 30 minutes, trypsin activity was stopped by adding an equal volume of FBS and mixing well. Next, and equal volume of freshly prepared hypotonic buffer (30 mM Tris pH 8.2, 50 mM sucrose, 17 mM sodium citrate, 5 mM EDTA, 0.5 mM DTT, 0.5 mM PMSF, at a final pH of 8.2) was added per sample, and samples were incubated for 30 minutes at room temperature. Samples were centrifuged for 10 min at 1000 rpm at room temperature, the supernatant removed, and then resuspended in 100 mM sucrose (+ 7.5 mM Boric acid, final pH 8.2). Samples were typically resuspended in 60 μL per ovary, which usually made three slides per ovary. Positively charged slides were pre-cleaned with 70% ethanol, and then dried gently with a Kimwipe. Using a hydrophobic pen, a small (∼2cm x 2cm) square was drawn on each slide, and the squares were each coated with approximately 20 μL of fixative solution (1% PFA, 0.15% Triton X-100, 3 mM DTT, 7.5 mM Boric acid, final pH 9.2). Using a P-20 pipette, 20 μL of the cell suspension was dropped onto the square from approximately one foot above. Slides were incubated for 1 hour in a covered humidified chamber at room temperature to allow fixation of nuclei to slide, and then incubated uncovered for approximately three hours to allow slides to fully dry. Once dry, slides were washed twice with 0.4% Photoflo in H<sub>2</sub>O (Kodak, 146 4510) by fully submerging slides for two minutes each. Finally, slides were allowed to fully dry, then stored at −80°C until ready to stain.</p>
</sec>
<sec id="s4o">
<title>Staining of Meiotic Spreads – SYCP1, SYCP3 and γH2AX co-stain</title>
<p>Slides were warmed to room temperature, and then immediately incubated with 0.1% Triton X-100 in PBS for 10 minutes to permeabilize. Slides were washed three times with 1X PBS for five minutes each, and then blocked for 1 hour at room temp in 5% BSA in PBS. Slides were incubated overnight at 4°C with primary antibodies diluted in 5% BSA: rabbit α-SYCP1 (Abcam, ab15090; 1:200) and mouse α-γH2AX (Millipore Sigma, 05-636-I; 1:200). The following day, slides were washed three times, ten minutes each, with 1X PBS, and then incubated for 1 hour at room temp with secondaries in 5% BSA: donkey α-mouse 555 (1:200), donkey α-rabbit 647 (1:200), and DAPI (1:1000). Next, slides were washed three times, ten minutes each, with 1X PBS, and then incubated for 1 hour at room temp with pre-conjugated mouse α-SYCP3 (Abcam, ab205846; 1:50). Slides were washed again three times, and then mounted with VECTASHIELD Antifade Mounting Medium (Vector Laboratories, H-1000).</p>
</sec>
<sec id="s4p">
<title>Confocal Microscopy</title>
<p>All imaging was performed on a white-light Leica TCS SP8 inverted confocal microscope using either an HC FLUOTAR L 25×/0.95 VISIR water objective (Leica) or an HC PL APO 63x/1.40 CS2 oil objective (Leica). All images were taken at 1024 x 1024 pixel resolution, and any tile scan images were merged using Leica software.</p>
</sec>
<sec id="s4q">
<title>Quantitative Image Analysis using Imaris</title>
<p>All analyses described below were performed using Imaris Microscopy Image Analysis Software v8.3.1 (Oxford Instruments).</p>
<sec id="s4q1">
<title>Cellular segmentation with WGA</title>
<p>In order to segment individual cells within a tissue section, we utilized fluorophore-conjugated forms of the lectin wheat germ agglutinin (WGA) (Biotium, 29022-1, 29062-1, 29025-1) to outline all cellular membranes. Slides were stained overnight with WGA (1:50) using the standard section immunofluorescence protocol outlined above. Confocal .lif files were imported into Imaris, and individual cells were computationally segmented using the “Cell” module with the following settings: { Detection Type: “Detect Cell Only” // Region: “Whole Image” // Cell Type: “Cell Membrane” // Cell Smallest Diameter: “7 μm” // Cell Membrane Detail: “0.75 μm” // Cell Filter Type: “Smooth” // Quality Threshold: “Manual” // Number of voxels: &gt;20.0 }. The resulting segmented regions were then filtered to remove “empty” (non-cell-containing) regions by applying the following filters: { Size Filter: “25 – 400 μm<sup>2</sup>” // Cell Intensity Mean (DAPI channel): &gt;20.0 }. Lastly, regions containing doublet cells (based on DAPI), were manually removed. To further subset out germ cells, an additional filter was applied based on the germ cell marker used: { Cell Intensity Mean (Germ cell marker channel): <italic>manually determined</italic> }.</p>
</sec>
<sec id="s4q2">
<title>Calculating normalized GR protein levels</title>
<p>After performing cellular segmentation with WGA as described above, the mean fluorescence intensity values of all channels were exported for each individual cell. Mean fluorescence intensity values for the GR channel were normalized to those of the DAPI channel on a per cell basis, and the resulting normalized values were plotted.</p>
</sec>
</sec>
<sec id="s4r">
<title>Protein Extraction and Quantification</title>
<p>Proteins were extracted from either whole-gonad tissue or FACS-sorted cells using Pierce RIPA Buffer (Thermo Fisher, 89900) as per the manufacturer’s protocol. For FACS-sorted, frozen cell pellets (100-300k cells), pellets were thawed on ice and resuspended in 100 μL of RIPA buffer. Suspension was incubated on ice for 15 minutes, with vortexing every three minutes. Suspension was spun at 16,000xg for 15 min at 4°C to pellet non-soluble cellular debris, and then supernatant transferred to a fresh tube. For whole-gonad tissue, dissected gonads were washed once with 1X PBS (without BSA), and then resuspended in 100-200 μL of RIPA buffer (depending on stage / number of gonads). Tissue was homogenized using a motorized pestle, on ice, until no visible tissue pieces remained. The suspension was then incubated on ice for 15 minutes (with vortexing every three minutes), and spun at 16,000xg for 15 min at 4°C as described above. Total amount of protein was quantified using a Pierce BCA Protein Assay Kit (Thermo Fisher, 23227) with BSA protein standards, following the manufacturer protocol exactly.</p>
</sec>
<sec id="s4s">
<title>Western Blotting</title>
<p>Prior to loading, protein samples were diluted with sample buffer (4X Laemmli Buffer (Bio-Rad, #1610747) supplemented with 10% β-mercaptoethanol) and water to reach a final sample buffer concentration of 1X. Samples were boiled in microcentrifuge tubes in a thermocycler for 5 minutes at 95°C to denature proteins. For all blots, samples were run on Tris/Glycine Mini-PROTEAN TGX Precast SDS-PAGE gels, 4-15% (Bio-Rad #4561085), with 1X Tris/Glycine/SDS Buffer (Bio-Rad #1610732). 5 μL of either WesternSure Pre-stained Chemiluminescent Protein Ladder (LI-COR #926-98000) or Chameleon Duo Pre-stained Protein Ladder (LI-COR #928-60000) were used depending on the downstream imaging system. All gels were electrophoresed at 50V for 10 minutes, and then 100V for 50-60 minutes. All gels were transferred to Immobilon-FL PVDF Membrane (Millipore #IPFL10100) (pre-activated with 100% methanol) using the Bio-Rad Trans-Blot SD semi-dry transfer cell (Bio-Rad # 1703940) at 15V for 60 min at 4°C. Transfer buffer was prepared as a 1X final solution by mixing 7:2:1 of ddH<sub>2</sub>O : methanol : 10X Tris/Glycine Transfer Buffer (Bio-Rad #1610734). Following transfer, membranes were blocked for 60 min with 5% non-fat milk (Bio-Rad #1706404) prepared in 1X TBST (TBS + 0.1% Tween 20 ; Bioworld #42020084-1) on a rotator at RT. Primary antibodies were diluted in 5% non-fat milk and membranes incubated at 4°C overnight with gentle rotation. The following day, membranes were washed three times with 1X TBST for 5 min at RT with gentle rotation. Secondary antibodies, HRP-conjugated goat α-rabbit IgG (Abcam #ab205718) or HRP-conjugated goat α-mouse IgG (Abcam #ab205719) were diluted 1:5000 in 5% non-fat milk and incubated with membranes for 1 hr at RT with gentle rotation, and then washed three times with 1X TBST for 5 min at RT with gentle rotation. Membranes were imaged using the Pierce ECL Western Blotting Substrate (Thermo #32109) and developed on autoradiography film.</p>
</sec>
<sec id="s4t">
<title>RNA isolation</title>
<p>For bulk gonad tissue (both freshly isolated and <italic>ex vivo</italic> cultured), gonads were first homogenized in a 1.5 mL centrifuge tube in 100 μL TRIzol (Invitrogen 15596026) using a motorized pestle. After bringing the final volume to 1 mL with TRIzol, samples were vortexed on high for 30 seconds before storing at −80°C. To extract total RNA from TRIzol samples, 200 μL of chloroform was added per sample. Samples were vortexed vigorously for 30 seconds and then centrifuged at 12,000xg for 15 min at 4°C. The upper aqueous layer was carefully extracted, mixed 1:1 with an equal volume of fresh 70% ethanol, and loaded onto a QIAgen RNeasy Micro spin column for further cleanup and elution. The QIAgen RNeasy Micro Kit (cat. no. 74004) protocol was followed exactly, including the on-column DNase digestion for 15 min. For FACS-sorted cell samples that were sorted into QIAgen RLT Plus Buffer, samples were mixed with equal volume of 70% ethanol and loaded onto column without TRIzol homogenization and chloroform extraction. RNA concentrations were quantified using the Qubit RNA HS Assay Kit (ThermoFisher cat. no. Q32852) following the manufacturer’s protocol.</p>
</sec>
<sec id="s4u">
<title>SYBR Green qRT-PCR Primer Design</title>
<p>All primer sets used for qRT-PCR were designed from scratch. For each gene of interest, the mouse cDNA sequence of the predominant, full-length isoform was downloaded from the Ensembl database (<ext-link ext-link-type="uri" xlink:href="https://www.ensembl.org">https://www.ensembl.org</ext-link>). To identify potential primers with minimal off-target amplification across the mouse transcriptome, cDNA sequences were uploaded to NCBI’s Primer BLAST tool (<ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/tools/primer-blast">https://www.ncbi.nlm.nih.gov/tools/primer-blast</ext-link>), and primer searches were run with the following modified search parameters: PCR product size: <underline>70-200 bp</underline>; Primer melting temperatures: <underline>Min: 60°C, Opt: 62°C, Max: 64°C, Max T<sub>m</sub> diff: 1°C</underline> ; Database: <underline>Refseq mRNA</underline> ; Organism: <underline>Mus musculus</underline> ; Primer specificity stringency: “Ignore targets that have more than <underline>4</underline> or more mismatches to the primer” ; Primer GC content: <underline>30-70%</underline> ; Max self complementarity: <underline>3.00</underline> ; Max pair complementarity: <underline>3.00</underline> ; Concentration of divalent cations: <underline>3</underline> ; Concentration of dNTPs: <underline>0.2</underline>. Resulting putative primer pairs were screen manually for minimal self/pair complementarity scores, and then checked using the Beacon Designer tool (<ext-link ext-link-type="uri" xlink:href="http://www.premierbiosoft.com/qOligo/Oligo.jsp?PID=1">http://www.premierbiosoft.com/qOligo/Oligo.jsp?PID=1</ext-link>) for any potential primer-dimer events by selecting for primer pairs that had ΔG values closest to zero for Cross Dimer, Self Dimer and Hairpin scores. Lastly, the expected PCR product of any putative primer pairs was checked for potential secondary structure formation using IDT’s UNAFold program (<ext-link ext-link-type="uri" xlink:href="https://www.idtdna.com/unafold">https://www.idtdna.com/unafold</ext-link>). As no primer pairs were completely without potential secondary structure formation, primer pairs were deemed acceptable so long as none of the predicted secondary structures had an anticipated T<sub>m</sub> value at or above the annealing temperature of our cycler reaction (60°C). Whenever possible, primer pairs that spanned an intron were selected to minimize any amplification from contaminating genomic DNA. All primers used were validated through a standard melt curve analysis following qRT-PCR reactions (95°C, 30 sec // 60°C, 1 min // 95°C then dec by 0.15°C every sec) to ensure the amplification of a single PCR product as anticipated, and any primer pairs that failed melt curve analysis were discarded and redesigned.</p>
</sec>
<sec id="s4v">
<title>Quantitative RT-PCR</title>
<p>Prior to qRT-PCR, 100 – 1000 ng of RNA per sample was reverse transcribed using the qScript cDNA SuperMix (QuantaBio cat. no. 95048-100). qRT-PCR was performed using PowerUp SYBR Green Master Mix (Thermo A25776), as per manufacturer’s instructions. For each individual reaction, 1 ng total cDNA was used, with a final primer concentration of 0.5 μM each, and all reactions were performed in technical triplicate. All experiments were run on a ThermoFisher QuantStudio 5 with the following cycler conditions: (50°C, 2 min) – 1 cycle // (95°C, 2 min) – 1 cycle // (95°C, 30 sec ; 60°C, 1 min) – 40 cycles. For all experiments, qRT-PCR analysis was performed using standard ΔΔC<sub>T</sub> method. Briefly, ΔC<sub>T</sub> values were calculated by normalizing C<sub>T</sub> values for individual target probes to the average C<sub>T</sub> value of a standard housekeeping gene (typically 18S ribosomal RNA); ΔΔC<sub>T</sub> values were calculated by normalizing sample ΔC<sub>T</sub> values to the reference sample of choice (here usually “WT” or dex untreated); Fold change values were calculated by taking 2<sup>-ΔΔCT</sup>.</p>
</sec>
<sec id="s4w">
<title>Qualitative RT-PCR</title>
<p>Prior to RT-PCR, 100 – 1000 ng of RNA per sample was reverse transcribed using the qScript cDNA SuperMix (QuantaBio, 95048-100). All PCR reactions were performed using GoTaq Green Master Mix (Promega, M7123) with 0.25 ng total cDNA per reaction, with a final primer concentration of 0.5 μM each. Cycler conditions: { 95°C, 3 min – 1 cycle // (95°C, 15 sec ; (55-60)°C, 15 sec ; 72°C, 30 sec) – 35 cycles // (72°C, 10 min) – 1 cycle // 4°C hold }. For each primer pair, a temperature gradient PCR was used to determine the optimal annealing temperature. Products were electrophoresed on a 2% agarose gel at 150V for 30 minutes, and then visualized using a Bio-Rad GelDoc imager. Mouse XpressRef Universal Total RNA (QIAgen, 338114) was reverse transcribed and used at a concentration of 250 ng cDNA per reaction as a positive control for each primer set. Nuclease free water (Thermo Fisher, AM9937) was used as a negative control.</p>
</sec>
<sec id="s4x">
<title>Single-cell RNA sequencing</title>
<sec id="s4x1">
<title>Sample preparation</title>
<p>To generate embryos homozygous for the GR knockout allele (GR<sup>KO/KO</sup>), heterozygous females (GR<sup>KO/+</sup>) were crossed to heterozygous males also carrying an Oct4-GFP transgene (GR<sup>KO/+</sup> ; Tg:Oct4<sup>GFP/GFP</sup>) to facilitate FACS sorting of germ cells. Pregnant dams were dissected the morning of E15.5, and tail clips were taken from each embryo to determine GR genotype. Fetal ovaries were dissected on ice, the mesonephroi removed, and the ovaries were digested for FACS sorting as described above. Fetal ovaries were pooled based on genotype (n=4 ovary pairs for WT GR<sup>+/+</sup>, and n=2 ovary pairs for GR<sup>KO/KO</sup>). In order to enrich for germ cells (relative to the predominant somatic cells), live germ cells were FACS sorted based on Tg:Oct4<sup>GFP</sup> expression, and somatic cells spiked back into the germ cell population at a ratio of 60 : 40, germ : soma. The final cell suspension was resuspended in 0.04% BSA at a concentration of 1000 cells / μL, and was used for 10X single-cell capture as described below.</p>
</sec>
<sec id="s4x2">
<title>10X Capture, Library Preparation, and Sequencing</title>
<p>The following sample preparation and sequencing was all performed by the UCSF CoLabs Initiative. All samples were processed with the standard Chromium 10X Single-Cell 3’ Reagent Kit v3 workflow. In summary, final cell suspensions were loaded onto the 10X Chromium microfluidics chip along with reaction master mix, partitioning oil, and Single-Cell 3’ v3 Gel Beads in order to generate Gel Beads-in-emulsion (GEMs) containing individual cells. RT reactions were performed within individual GEMs to generate cell-barcoded full-length cDNA, followed by GEM breakdown, cDNA pooling, cDNA PCR amplification, cleanup, and QC. Amplified cDNA was enzymatically fragmented, end repaired, A-tailed, size selected, and ligated with adapters. Following a sample indexing PCR reaction and final size selection, sample libraries were pooled, QC’ed, and sequenced on an Illumina NovoSeq 6000 platform. Resulting paired-end sequencing reads were processed using the 10X Cell Ranger software to generate feature-barcode matrices.</p>
</sec>
<sec id="s4x3">
<title>Data Analysis</title>
<p>All single-cell RNA-seq data processing was performed in house using Seurat<sup><xref ref-type="bibr" rid="c91">91</xref></sup> v3.2.3. Count matrices for both WT and KO conditions were read into Seurat to create Seurat Objects, and were then filtered as follows: WT: { nFeature_RNA: 1500 – 6500 // nCount_RNA: 5500 – 40000 // % mitochondria: &lt; 10% }; KO: { nFeature_RNA: 1200 – 5500 // nCount_RNA: 3000 – 30000 // % mitochondria: &lt; 10% }. Both WT and KO Seurat objects were combined using the “merge” function, and the resulting objects were processed for dimensional reduction using the standard Seurat workflow using the following functions: NormalizeData, FindVariableFeatures, ScaleData, RunPCA, RunUMAP, FindNeighbors, and FindClusters. During ScaleData, the following variables were regressed out: nFeature_RNA, nCount_RNA, percent.mito, and percent.ribo. The cell type identities of each cluster were determined by comparing top cluster markers to a previously annotated list E16.5 ovarian cell type specific markers<sup><xref ref-type="bibr" rid="c92">92</xref></sup>. Pairwise differential gene expression analyses were performed between WT and KO cells independently for each of the main cell type clusters (germ, theca, granulosa, and epithelia) using the FindMarkers function using the default Wilcoxon Rank Sum test. Genes with an adjusted p-value less than 0.05 and a log fold change greater than 0.25 were considered significant.</p>
</sec>
</sec>
<sec id="s4y">
<title>3’ Tag-Seq</title>
<sec id="s4y1">
<title>Sample preparation</title>
<p>To generate embryos homozygous for the GR knockout allele (GR<sup>KO/KO</sup>), heterozygous females (GR<sup>KO/+</sup>) were crossed to heterozygous males also carrying an Oct4-GFP transgene (GR<sup>KO/+</sup> ; Tg:Oct4<sup>GFP/GFP</sup>) to facilitate FACS sorting of germ cells. Pregnant dams were dissected the morning of E17.5, and tail clips were taken from each embryo to determine GR genotype. Fetal ovaries were dissected on ice, the mesonephroi removed, and the ovaries were digested for FACS sorting as described above. Tg:Oct4-GFP<sup>+</sup> germ cells from individual embryo ovary pairs were FACS sorted directly in QIAgen RLT+ buffer and stored at −80 until ready for RNA extractions as outlined above. To generate embryos with a conditional deletion of GR (GR<sup>cKO/cKO</sup>), females homozygous for an exon 3 floxed GR allele (GR<sup>flox/flox</sup>) were crossed to similar males that were also heterozygous for the germ cell specific Oct4<sup>CreERT2</sup> allele (GR<sup>flox/flox</sup> ; Oct4<sup>CreERT2/+</sup> ; Tg:Oct4<sup>GFP/GFP</sup>). Pregnant dams were injected at E10.5 with 125 μg / g tamoxifen to induce recombination and deletion of GR exon 3 specifically in the germ cells. Pregnant dams were dissected the morning of E17.5 and processed for FACS sorting as described for GR<sup>KO/KO</sup> females above.</p>
</sec>
<sec id="s4y2">
<title>Library Preparation and Sequencing</title>
<p>All library preparations and sequencing were performed by the University of California, Davis DNA Technologies &amp; Expression Analysis Core. Gene expression profiling was carried out using a 3’ Tag-RNA-Seq protocol. Barcoded sequencing libraries were prepared using the QuantSeq 3’ mRNA-Seq Library Prep FWD kit (Lexogen) for multiplexed sequencing according to the manufacturer recommendations. The library fragment size distribution was determined using microcapillary gel electrophoresis on a Bioanalyzer 2100 (Agilent), and libraries were quantified using a Qubit fluorometer (LifeTechnologies). Final libraries were pooled in equimolar ratios and sequenced on an Illumina HiSeq 4000.</p>
</sec>
<sec id="s4y3">
<title>Data Analysis</title>
<p>Data analysis of 3’ Tag-Seq data was performed in house. Illumina universal adapters (AGATCGGAAGAG) were trimmed from fastq files using cutadapt<sup><xref ref-type="bibr" rid="c93">93</xref></sup>. Paired-end reads were aligned to the mm10 genome using STAR<sup><xref ref-type="bibr" rid="c94">94</xref></sup> v2.6.0, and counts files were generated using featureCounts<sup><xref ref-type="bibr" rid="c95">95</xref></sup> v1.6.3. Differential expression analysis was performed using edgeR<sup><xref ref-type="bibr" rid="c96">96</xref></sup> v3.28.1 and limma<sup><xref ref-type="bibr" rid="c97">97</xref></sup> v3.42.2. The resulting p-values were adjusted using the Benjamini and Hochberg’s approach for controlling the false discovery rate. Genes with an adjusted p-value ≤ 0.05 were assigned as differentially expressed.</p>
</sec>
</sec>
<sec id="s4z">
<title>Bulk RNA-seq on <italic>in vivo</italic> dex-dosed gonads</title>
<sec id="s4z1">
<title>Sample preparation</title>
<p>For analysis of female germ cells by RNA-seq, pregnant dams were injected by IP at approximately 09:00 with either saline or 10 mg dex / kg weight daily at E12.5, E13.5, E14.5 and E15.5. Embryos were dissected at E15.5 at approximately 15:00, and fetal ovaries placed in ice-cold 0.4% BSA in PBS. Mesonephroi were carefully microdissected away from the ovary, and ovaries were then digested for FACS sorting as described above. For analysis of male germ cells by RNA-seq, pregnant dams were injected via IP at approximately 09:00 with either saline of 10 mg dex / kg weight daily at E17.5 and E18.5. Following delivery the evening of E18.5, PN0 pups were injected the following morning subcutaneously with either saline or 10 mg dex / kg bodyweight. Pups were then sacrificed at approximately 11:00 on PN1, and testes placed in ice-cold 0.4% BSA in PBS. The tunica vaginalis was carefully microdissected away from each testis, and testes were then digested for FACS-sorting as described above.</p>
</sec>
<sec id="s4z2">
<title>Library Preparation and Sequencing</title>
<p>All library preparations and sequencing were performed by the company Novogene. mRNA was purified from total RNA using poly-dT magnetic beads. Following mRNA fragmentation, first strand cDNA synthesis was carried out using random hexamer primers, followed by second strand cDNA synthesis. Fragment ends were repaired, A-tailed, and ligated with sequencing adapters, followed by size selection, PCR amplification, and purification. Final libraries were quantified using Qubit and run on an Agilent Bioanalyzer system to ensure proper size distribution. Quantified libraries were pooled and sequenced on an Illumina platform. Clustering of the index-coded samples was performed according to the manufacturer’s instructions, and library preparations were subsequently sequenced to generate paired-end reads.</p>
</sec>
<sec id="s4z3">
<title>Data Analysis</title>
<p>Initial data QC, genome alignment, and differential expression analysis was all carried out by Novogene.</p>
</sec>
<sec id="s4z4">
<title>Data QC</title>
<p>Raw fastq reads were processed using custom perl scripts to remove reads containing adapter sequences, reads containing poly-N, and low quality reads (based on Q20, Q30 and %GC scores).</p>
</sec>
<sec id="s4z5">
<title>Alignment</title>
<p>The mm10 reference genome was indexed using Hisat2<sup><xref ref-type="bibr" rid="c98">98</xref></sup> v2.0.5. Cleaned, paired-end reads were aligned to the mm10 genome using the splice-aware aligner Hisat2 v2.0.5.</p>
</sec>
<sec id="s4z6">
<title>Expression Quantification</title>
<p>Counts of reads mapping to each gene were determined using featureCounts<sup><xref ref-type="bibr" rid="c95">95</xref></sup> v1.5.0-p3. FPKM values were calculated for each gene based on the length of the gene, sequencing depth, and read counts mapping to the gene.</p>
</sec>
<sec id="s4z7">
<title>Differential Expression Analysis</title>
<p>Differential expression analysis of pairwise conditions was performed using DESeq2<sup><xref ref-type="bibr" rid="c99">99</xref></sup> (v1.20.0). The resulting p-values were adjusted using the Benjamini and Hochberg’s approach for controlling the false discovery rate. Genes with an adjusted p-value ≤ 0.05 were assigned as differentially expressed.</p>
</sec>
<sec id="s4z8">
<title>Gene Ontology Enrichment Analysis</title>
<p>GO Term enrichment analysis was performed using the GO Consortium’s online tool at: <ext-link ext-link-type="uri" xlink:href="http://geneontology.org/">http://geneontology.org/</ext-link>. A list of significant genes (adjusted p-value ≤ 0.05) was uploaded and used to look for enriched biological processes, utilizing a Fisher’s Exact test followed by Bonferroni correction for multiple testing. Lists for upregulated and downregulated genes were run independently. The results were sorted based on highest fold enrichment scores, and the top ten processes for each category plotted.</p>
</sec>
<sec id="s4z9">
<title>Differential splicing analysis using rMATS</title>
<p>Differential transcript splicing analysis was performed using rMATS<sup><xref ref-type="bibr" rid="c65">65</xref></sup> version 4.1.2, with genome-aligned BAM files generated from paired end RNA-seq reads used as input. Comparisons were made between saline treated and dex treated germ cells from PN1 testes (Figure 2.12A), using the rMATS settings: -t paired ; --readLength 150. Results were visualized as sashimi plots, generated with the program rmats2sashimiplot.</p>
</sec>
</sec>
<sec id="s4aa">
<title>Antibodies Used</title>
<table-wrap id="utbl3" orientation="portrait" position="float">
<graphic xlink:href="547215v1_utbl3.tif" mimetype="image" mime-subtype="tiff"/>
</table-wrap>
</sec>
<sec id="s4ab">
<title>RT-PCR Primers Used</title>
<table-wrap id="utbl4" orientation="portrait" position="float">
<graphic xlink:href="547215v1_utbl4a.tif" mimetype="image" mime-subtype="tiff"/>
<graphic xlink:href="547215v1_utbl4b.tif" mimetype="image" mime-subtype="tiff"/>
</table-wrap>
</sec>
<sec id="s4ac">
<title>qRT-PCR Primers Used</title>
<table-wrap id="utbl5" orientation="portrait" position="float">
<graphic xlink:href="547215v1_utbl5.tif" mimetype="image" mime-subtype="tiff"/>
</table-wrap>
</sec>
</sec>
</body>
<back>
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<ack>
<title>Acknowledgements</title>
<p>The authors would like to thank thesis committee members Barbara Panning, Kaveh Ashrafi and Brian Feldmen for critical feedback over the course of this project. Thank you to Ryan Samuel for consulting on scRNA-seq analysis, and thank you to Bikem Soygur for exceptional scientific guidance and technical assistance on this project. We also thank the UC Davis DNA Technologies &amp; Expression analysis core for 3’ Tag-Seq library prep and sequencing, the UCSF CoLabs Initiative for performing Illumina 10X capture, library prep, and sequencing, the UCSF Parnassus Flow Cytometry Core for assistance with cell sorting, as well as A. Rajkovic for generously providing Nobox antibody.</p>
</ack>
<sec id="s5">
<title>Funding</title>
<p>S.A.C was supported by the Ruth L. Kirschstein National Research Service Award Individual Predoctoral F31 fellowship NIH 5F31HD101234, N.R. is supported by the NIH Endocrinology T32-DK007418 Fellowship, M.H.F. is supported by NIH 1F31HD110208-01 and the Hillblom/BARI Graduate Student Fellowship Award, and D.J.L. is supported by P30-ES030284, R01ES028212, and R01GM122902, the W.M. Keck Foundation, and the UCSF Program for Breakthrough Biomedical Research.</p>
</sec>
<sec id="s6">
<title>Author Contributions</title>
<p>S.A.C. and D.J.L. conceived the project. S.A.C. performed the experiments. S.A.C., N.R., and M.H.F. performed staining and imaging. S.A.C. performed quantitative image analysis. S.A.C. performed bioinformatic analysis. S.A.C. and D.J.L. wrote the manuscript.</p>
</sec>
<sec id="s7">
<title>Competing interests</title>
<p>The authors have no competing interests to declare.</p>
</sec>
<sec id="s8">
<title>Data availability</title>
<p>All data required to evaluate the conclusions put forth have been included in the paper and/or supplementary materials. Genomics data has been deposited in the Gene Expression Omnibus (GEO) under the accession code GSE234681.</p>
</sec>
<sec>
<fig id="figs1" position="float" orientation="portrait" fig-type="figure">
<label>Figure S1</label>
<caption><p><bold>(Supplemental to <xref rid="fig1" ref-type="fig">Figure 1</xref>)</bold> (A) Representative images of computational cell segmentation in histologic sections using Imaris’s Cell module. WGA was used to stain all cellular membranes, and expression of a germ cell marker (here Oct4-GFP) was used to filter out germ cells from somatic cells. Scale bars: 100 μm.</p><p>(B) IF staining showing expression of GR in mouse postnatal ovary sections at PN0, PN2, PN5, PN7 and PN21. Oocytes are marked by NOBOX, and all nuclei are stained with DAPI. Cortical oocytes with remaining GR expression at PN0 are marked by arrowheads, and few remaining oocytes with cytoplasmic GR at PN2 are marked by asterisks. Scale bars: 30 μm.</p><p>(C) IF staining showing GR expression in the adult mouse ovary at 8 weeks of age. Different follicular stages were determined based on classic morphological features, and are abbreviated as follows: P-primordial follicle; 1 - primary follicle; 2 - secondary follicle; A - antral follicle. Oocytes are marked with NOBOX, and nuclei are stained with DAPI. Scale bars: 50 μm.</p><p>(D) IF staining showing co-expression of GR and somatic cell markers in the adult ovary. The theca interna layer is broadly marked by smooth muscle actin (α-SMA; top), and the granulosa cells are marked by FOXL2 (bottom). Scale bars: 100 μm.</p></caption>
<graphic xlink:href="547215v1_figs1.tif" mimetype="image" mime-subtype="tiff"/>
</fig>
<fig id="figs2" position="float" orientation="portrait" fig-type="figure">
<label>Figure S2</label>
<caption><p><bold>(Supplemental to <xref rid="fig2" ref-type="fig">Figure 2</xref>)</bold> (A) 10X Single-cell RNA-sequencing performed on E15.5 WT and GR KO ovaries. A total of n=4 WT ovaries and n=2 KO ovaries were each pooled prior to sorting to enrich for Oct4-GFP<sup>+</sup> germ cells. UMAP clustering on WT and KO cells, colored by cell type. A total of 24,547 cells post-filtering were analyzed.</p><p>(B) Violin plot showing <italic>Nr3c1</italic> transcript expression in WT vs KO cells across each cell type, confirming GR deletion.</p><p>(C) Scatter plots comparing log1p normalized average gene expression across total cells of particular conditions: (i) WT vs KO cells within the germ cell cluster, and (ii) WT germ vs WT granulosa cells as a positive control for differential expression analysis. Differentially expressed genes (logFC ≥ 0.25; adjusted p-value ≤ 0.05) are labeled in blue or red.</p></caption>
<graphic xlink:href="547215v1_figs2.tif" mimetype="image" mime-subtype="tiff"/>
</fig>
<fig id="figs3" position="float" orientation="portrait" fig-type="figure">
<label>Figure S3</label>
<caption><p><bold>(Supplemental to <xref rid="fig3" ref-type="fig">Figure 3</xref>)</bold> (A) qRT-PCR on bulk E15.5 lung, ovary and testis tissue from <italic>in vivo</italic> dex-dosed embryos. Expression of <italic>Fkbp5</italic>, a known canonical GR-responsive gene, is shown following administration with 1 μg/g dex, 10 μg/g dex, or saline vehicle control (n=3 embryos per dose) to verify that maternal administration of dex from E12.5 – E15.5 is able to elicit a transcriptional response in the fetus. Lung serves as a positive control. Data are mean ± s.d., normalized to β-actin housekeeping gene using 2<sup>-ΔΔCt</sup> quantification method, and p-values were calculated for each dose comparison using a two-tailed, unpaired t-test, where ****: p ≤ 0.0001.</p><p>(B) GO term enrichment analysis using differentially expressed genes from <italic>in vivo</italic> dex-dosed RNA-seq data. The top 10 significant biological processes for upregulated (magenta) and downregulated (green) genes are shown, ranked by fold enrichment score, for both somatic cells and germ cells. Note that no statistically significant enrichment of GO terms was found for the germ cell dex-upregulated gene list.</p><p>(C) Quantification of relative substages of meiotic spreads performed on germ cell nuclei from E14.5 ovaries cultured for 48 hours <italic>ex vivo</italic> with or without 1 μM dex. For spreads from 0 μM dex conditions, a total of 357 nuclei from four embryos were counted; For spreads from 1 μM dex conditions, a total of 266 nuclei from four embryos were counted.</p></caption>
<graphic xlink:href="547215v1_figs3.tif" mimetype="image" mime-subtype="tiff"/>
</fig>
<fig id="figs4" position="float" orientation="portrait" fig-type="figure">
<label>Figure S4</label>
<caption><p><bold>(Supplemental to <xref rid="fig4" ref-type="fig">Figure 4</xref>)</bold> (A) IF staining showing expression of GR in mouse postnatal testis sections at PN2 (top), PN7 (middle) and PN21 (bottom). Spermatogonia are marked by PLZF, and total germ cells are marked by TRA98. Arrowheads show GR<sup>+</sup> peritubular myoid cells, and asterisks show GR<sup>+</sup> interstitial cells. Scale bars: 30 μm.</p><p>(B) IF staining showing expression of GR in additional mouse postnatal testis timepoints. sections at PN14 (top) and PN21 (bottom). Differentiating spermatogonia are marked by c-KIT, and total germ cells are marked by TRA98. Arrowheads show GR<sup>+</sup> peritubular myoid cells, and asterisks show GR<sup>+</sup> interstitial cells. Scale bars: 30 μm.</p><p>(C) Sashimi plots showing differences in alternative exon 1 splicing events at the Nr3c1 locus between testicular germ and somatic cells. Plots were generated from paired-end RNA-seq data of PN1 germ and somatic cells (saline control; <xref rid="fig5" ref-type="fig">Figure 5A</xref>). Previously annotated exon 1 variants have been arbitrarily labeled as exons 1A through 1G (with exon 1A being closest to exon 2). Three novel exon 1 splice sites identified in this study have been labeled as predicted exons 1α, 1β, and 1γ (marked by the dotted blue lines).</p></caption>
<graphic xlink:href="547215v1_figs4.tif" mimetype="image" mime-subtype="tiff"/>
</fig>
<fig id="figs5" position="float" orientation="portrait" fig-type="figure">
<label>Figure S5</label>
<caption><p><bold>(Supplemental to <xref rid="fig5" ref-type="fig">Figure 5</xref>)</bold> (A) GO term enrichment analysis using differentially expressed genes from in vivo dex-dosed RNA-seq data. The top 10 significant biological processes for upregulated (orange) and downregulated (cyan) genes are shown, ranked by fold enrichment score, for both somatic cells and germ cells.</p></caption>
<graphic xlink:href="547215v1_figs5.tif" mimetype="image" mime-subtype="tiff"/>
</fig>
<fig id="figs6" position="float" orientation="portrait" fig-type="figure">
<label>Figure S6</label>
<caption><p><bold>(Supplemental to <xref rid="fig6" ref-type="fig">Figure 6</xref>)</bold> (A) Validation of Blimp1-Cre mediated GR conditional knockout model by IF staining of PN30 testes, showing specific loss of GR in PLZF<sup>+</sup> spermatogonia. Genotypes are represented as cKO (GR<sup>KO/flox</sup> ; Blimp1-Cre<sup>+</sup>) and WT (GR<sup>flox/+</sup> ; Blimp1-Cre<sup>neg</sup>). Scale bars: 50 μm.</p></caption>
<graphic xlink:href="547215v1_figs6.tif" mimetype="image" mime-subtype="tiff"/>
</fig>
</sec>
</back>
<sub-article id="sa0" article-type="editor-report">
<front-stub>
<article-id pub-id-type="doi">10.7554/eLife.90164.1.sa2</article-id>
<title-group>
<article-title>eLife Assessment</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Yan</surname>
<given-names>Wei</given-names>
</name>
<role specific-use="editor">Reviewing Editor</role>
<aff>
<institution-wrap>
<institution>Washington State University</institution>
</institution-wrap>
<city>Pullman</city>
<country>United States of America</country>
</aff>
</contrib>
</contrib-group>
<kwd-group kwd-group-type="evidence-strength">
<kwd>Solid</kwd>
</kwd-group>
<kwd-group kwd-group-type="claim-importance">
<kwd>Valuable</kwd>
</kwd-group>
</front-stub>
<body>
<p>This work reports a <bold>valuable</bold> finding on glucocorticoid signaling in male and female germ cells in mice, pointing out sexual dimorphism in transcriptomic responsiveness. While the evidence supporting the claims is generally <bold>solid</bold>, additional assessments would be required to fully confirm an inert GR signaling despite the presence of GR in the female germline and GR-mediated alternative splicing in response to dexamethasone treatment in the male germline. The work may interest basic researchers and physician-scientists working on reproduction and stress-related disease conditions.</p>
</body>
</sub-article>
<sub-article id="sa1" article-type="referee-report">
<front-stub>
<article-id pub-id-type="doi">10.7554/eLife.90164.1.sa1</article-id>
<title-group>
<article-title>Reviewer #1 (Public Review):</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<anonymous/>
<role specific-use="referee">Reviewer</role>
</contrib>
</contrib-group>
</front-stub>
<body>
<p>Summary:</p>
<p>
Cincotta et al set out to investigate the presence of glucocorticoid receptors in the male and female embryonic germline. They further investigate the impact of tissue-specific genetically induced receptor absence and/or systemic receptor activation on fertility and RNA regulation. They are motivated by several lines of research that report inter and transgenerational effects of stress and or glucocorticoid receptor activation and suggest that their findings provide an explanatory mechanism to mechanistically back parental stress hormone exposure-induced phenotypes in the offspring.</p>
<p>Strengths:</p>
<p>
- A chronological immunofluorescent assessment of GR in fetal and early life oocyte and sperm development.</p>
<p>
- RNA seq data that reveal novel cell type specific isoforms validated by q-RT PCR E15.5 in the oocyte.</p>
<p>
- 2 alternative approaches to knock out GR to study transcriptional outcomes. Oocytes: systemic GR KO (E17.5) with low input 3-tag seq and germline-specific GR KO (E15.5) on fetal oocyte expression via 10X single cell seq and 3-cap sequencing on sorted KO versus WT oocytes - both indicating little impact on polyadenylated RNAs</p>
<p>
- 2 alternative approaches to assess the effect of GR activation in vivo (systemic) and ex vivo (ovary culture): here the RNA seq did show again some changes in germ cells and many in the soma.</p>
<p>
- They exclude oocyte-specific GR signaling inhibition via beta isoforms.</p>
<p>
- Perinatal male germline shows differential splicing regulation in response to systemic Dex administration, results were backed up with q-PCR analysis of splicing factors.</p>
<p>Weaknesses:</p>
<p>
- The presence of a protein cannot be entirely excluded based on IF data (staining of spermatids is referred to but not shown).</p>
<p>
- The authors do not consider post-transcriptional level a) modifications also trigged by GR activation b) non-coding RNAs (not assessed by seq).</p>
<p>
- Sequencing techniques used are not total RNA but either are focused on all polyA transcripts (10x) or only assess the 3' prime end and hence are not ideal to study splicing, The number of replicates in the low input seq is very low and hence this might be underpowered. Since Dex treatment showed some (modest) changes in oocyte RNA - effects of GR depletion might only become apparent upon Dex treatment as an interaction.</p>
<p>
- Effects in oocytes following systemic Dex might be indirect due to GR activation in the soma.</p>
<p>
- Even though ex vivo culture of ovaries shows GR translocation to the nucleus it is not sure whether the in vivo systemic administration does the same.</p>
<p>The conclusion that fetal oocytes are &quot;intrinsically buffered to GR signalling&quot; is very strong, given that &quot;only&quot; poly A sequencing and few replicates of 3-prime sequencing have been analyzed and information is lacking on whether GR is activated in germ cells in the systemically dex-injected animals.</p>
<p>This work is a good reference point for researchers interested in glucocorticoid hormone signaling fertility and RNA splicing. It might spark further studies on germline-specific GR functions and the impact of GR activation on alternative splicing.</p>
<p>While the study provides a characterization of GR and some aspects of GR perturbation, and the negative findings in this study do help to rule out a range of specific roles of GR in the germline, there is still a range of other potential unexplored options. The introduction of the study eludes to implications for intergenerational effects via epigenetic modifications in the germline, however, it does not mention that the indirect effects of reproductive tissue GR signaling on the germline have indeed already been described in the context of intergenerational effects of stress. Also, the study does not assess epigenetic modifications.</p>
<p>The conclusion that the persistence of a phenotype for up to three generations suggests that stress can induce lasting epigenetic changes in the germline is misleading. For the reader who is unfamiliar with the field, it is important to define much more precisely what is referred to as &quot;a phenotype&quot;. Furthermore, this statement evokes the impression that the very same epigenetic changes in the germline have been observed across multiple generations.</p>
<p>The evidence of the presence of GR in the germline is also somewhat limited - since other studies using sequencing have detected GR in the mature oocyte and sperm.</p>
<p>The discussion ends again on the implications of sex-specific differences of GR signaling in the context of stress-induced epigenetic inheritance. It states that the observed differences might relate to the fact that there is more evidence for paternal lineage findings, without considering that maternal lineage studies in epigenetic inheritance are generally less prevalent due to some practical factors - such as more laborious study design making use of cross-fostering or embryo transfer. Since the authors comment on RNA-mediated inheritance it seems inevitable to again consider indirect effects.</p>
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<article-id pub-id-type="doi">10.7554/eLife.90164.1.sa0</article-id>
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<article-title>Reviewer #2 (Public Review):</article-title>
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<anonymous/>
<role specific-use="referee">Reviewer</role>
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<p>Summary: There is increasing evidence in the literature that rodent models of stress can produce phenotypes that persist through multiple generations. Nevertheless, the mechanism(s) by which stress exposure produces phenotypes are unknown in the directly affected individual as well as in subsequent offspring that did not directly experience stress. Moreover, it has also been shown that glucocorticoid stress hormones can recapitulate the effects of programmed stress. In this manuscript, the authors test the compelling hypothesis that glucocorticoid receptor (GR)-signaling is responsible for the transmission of phenotypes across generations. As a first step, the investigators test for a role of GR in the male and female germline. Using knockouts and GR agonists, they show that although germ cells in male and female mice have GR that appears to localize to the nucleus when stimulated, oocytes are resistant to changes in GR levels. In contrast, the male germline exhibits changes in splicing but no overt changes in fertility.</p>
<p>Strengths: Although many of the results in this manuscript are negative, this is a careful and timely study that informs additional work to address mechanisms of transmission of stress phenotypes across generations and suggests a sexually dimorphic response to glucocorticoids in the germline. The work presented here is well-done and rigorous and the discussion of the data is thoughtful. Overall, this is an important contribution to the literature.</p>
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