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Steroid Hormones Regulate Genome-Wide Epigenetic Programming and Gene Transcription in Human Endometrial Cells with Marked Aberrancies in Endometriosis [methylation]

ABSTRACT: Steroid Hormones Regulate Genome-Wide Epigenetic Programming and Gene Transcription in Human Endometrial Cells with Marked Aberrancies in Endometriosis [methylation]

PROVIDER: PRJNA533613 | ENA |

REPOSITORIES: ENA

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Project description:Programmed cellular responses to cycling ovarian-derived steroid hormones are central to normal endometrial function. Abnormalities therein, as in the estrogen-dependent, progesterone-"resistant" disorder, endometriosis, predispose to infertility and poor pregnancy outcomes. The endometrial stromal fibroblast (eSF) is a master regulator of pregnancy success. However, the complex hormone-epigenome-transcriptome interplay in eSF by each individual steroid hormone, estradiol (E2) and/or progesterone (P4), under physiologic and pathophysiologic conditions, is poorly understood and was investigated herein. Genome-wide analysis in normal, early and late stage eutopic eSF revealed: i) In contrast to P4, E2 extensively affected the eSF DNA methylome and transcriptome. Importantly, E2 resulted in a more open versus closed chromatin, confirmed by histone modification analysis. Combined E2 with P4 affected a totally different landscape than E2 or P4 alone. ii) P4 responses were aberrant in early and late stage endometriosis, and mapping differentially methylated CpG sites with progesterone receptor targets from the literature revealed different but not decreased P4-targets, leading to question the P4-"resistant" phenotype in endometriosis. Interestingly, an aberrant E2-response was noted in eSF from endometriosis women; iii) Steroid hormones affected specific genomic contexts and locations, significantly enriching enhancers and intergenic regions and minimally involving proximal promoters and CpG islands, regardless of hormone type and eSF disease state. iv) In eSF from women with endometriosis, aberrant hormone-induced methylation signatures were mainly due to existing DNA methylation marks prior to hormone treatments and involved known endometriosis genes and pathways. v) Distinct DNA methylation and transcriptomic signatures revealed early and late stage endometriosis comprise unique disease subtypes. Taken together, the data herein, for the first time, provide significant insight into the hormone-epigenome-transcriptome interplay of each steroid hormone in normal eSF, and aberrant E2 response, distinct disease subtypes, and pre-existing epigenetic aberrancies in the setting of endometriosis, provide mechanistic insights into how endometriosis affects endometrial function/dysfunction.

Project description:The cellular responses to the steroid hormones, estrogen (E2), and progesterone (P4) are governed by their cognate receptor’s transcriptional output. Although multiple mechanisms including the tissue-specific coactivators dictate these transcriptional signatures, the feed-forward mechanisms, that evolved to coordinate the cell-type specific transcriptional fulcrums for steroid receptors are not yet identified. In this report, we found that a common feed-forward mechanism between GREB1 and steroid receptors governs the differential effect of GREB1 on steroid hormones in a physiological or pathological context. We found that in physiological (receptive) endometrium, GREB1 is essential for progesterone but not estrogenic responses, whereas in endometriosis, an E2-dependent endometrial pathology, it pre-dominantly mediates estrogenic actions. Specifically, the deletion of GREB1 curtails endometrial receptivity and decidualization, owing to impaired P4-dependent stromal cell proliferation. In contrast, GREB1 is not required for E2-mediated epithelial proliferation of the receptive uterus. Of mechanism, in receptive endometrium, progesterone-induced GREB1 physically interacts with the progesterone receptor on chromatin and functions as a cofactor in a positive feedback mechanism to selectively regulate P4-responses. In pathological conditions (endometriosis), ablation of GREB1 led to the development of smaller endometriotic lesions in mice and reduced E2-driven proliferation of human endometriotic cells. Moreover, E2-induced GREB1 modulated the E2-dependent target gene expression in a feed-forward mechanism. Collectively, acting as a downstream effector, GREB1 governs either P4-responses or E2-responses depending on the physiological or pathological setting. Importantly, this differential action of GREB1 is exerted by a common feed-forward mechanism between GREB1 and steroid receptors, which conceptually advances our understanding of the mechanism(s) that underlie the distinct cell- and tissue-specific actions of steroid hormones.

Project description:Endometriosis, an estrogen-dependent, progesterone-resistant, inflammatory disorder affects 10% of reproductive-age women. It is diagnosed and staged at surgery, resulting in an 11-year latency from symptom onset to diagnosis, underscoring the need for less invasive, less expensive approaches. Since the uterine lining (endometrium) in women with endometriosis has altered molecular profiles, we tested whether molecular classification of this tissue can distinguish and stage disease. We developed classifiers using genomic data from n=148 archived endometrial samples from women with endometriosis or without endometriosis (normal controls or with other common uterine/pelvic pathologies) across the menstrual cycle and evaluated their performance on independent sample sets. Classifiers were trained separately on samples in specific hormonal milieu, using margin tree classification, and accuracies were scored on independent validation samples. Classification of samples from women with endometriosis or no endometriosis involved two binary decisions each based on expression of specific genes. These first distinguished presence or absence of uterine/pelvic pathology and then no endometriosis from endometriosis, with the latter further classified according to severity (minimal/mild or moderate/severe). Best performing classifiers identified endometriosis with 90-100% accuracy, were cycle phase-specific or independent, and utilized relatively few genes to determine disease and severity. Differential gene expression and pathway analyses revealed immune activation, altered steroid and thyroid hormone signaling/metabolism and growth factor signaling in endometrium of women with endometriosis. Similar findings were observed with other disorders versus controls. Thus, classifier analysis of genomic data from endometrium can detect and stage pelvic endometriosis with high accuracy, dependent or independent of hormonal milieu. We propose that limited classifier candidate-genes are of high value in developing diagnostics and identifying therapeutic targets. Discovery of endometrial molecular differences in the presence of endometriosis and other uterine/pelvic pathologies raises the broader biological question of their impact on the steroid hormone response and normal functions of this tissue. We analyzed endometrial samples from n=148 women without or with endometriosis and/or other uterine/pelvic pathologies, using whole genome microarrays.

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Steroid Hormones Regulate Genome-Wide Epigenetic Programming and Gene Transcription in Human Endometrial Cells with Marked Aberrancies in Endometriosis [methylation]

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