Project description:Progesterone (P4) is essential to prepare the endometrium for a successful pregnancy. While P4 resistance is a major cause of infertility that leads to endometrial disorders, such as endometriosis, the underlying epigenetic imbalance responsible for P4 resistance in the endometrium remains unclear. We demonstrated that CXXC finger protein 1 (CFP1), a major mediator of histone H3 lysine 4 trimethylation (H3K4m3), is an indispensable factor in the maintenance of epigenetic landscapes of P4-progesterone receptor (PGR) signaling networks in the uterus. Cfp1flox/flox;Pgr-Cre (Cfp1d/d) mice suffered from impaired P4 responses, leading to abnormal uterine cell proliferation and complete failure of embryo implantation and decidualization, albeit regular estrous cycle with normal hormone profiles. mRNA and chromatin immunoprecipitation sequencing analyses showed that CFP1 binding enriches promoter regions to regulate uterine mRNA landscapes not only in H3K4me3-dependent but also in H3K4me3-independent manners. Especially, CFP1 directly regulates subsets of important P4 response genes, including Gata2, Sox17, and Ihh, which mediate the activation of the smoothened signaling pathway in the uterus. P4 cannot interfere with E2 actions on uterine epithelial proliferation in Cfp1d/d mice, which was restored by supplementing a smoothened agonist (SAG). Furthermore, ectopic lesions of Cfp1d/d uterus in an endometriosis model showed P4 resistance, which was rescued by SAG. In human endometriosis, CFP1, GATA2, SOX17, and IHH, were significantly downregulated, and a positive correlation was found in the expression levels between CFP1 and these P4 targets regardless of PGR levels. Collectively, we suggest that CFP1 is an epigenetic modulator of P4-PGR signaling networks to promote uterine receptivity for embryo implantation and suppress endometriosis with P4 resistance. CFP1 is a key epigenetic factor that intervenes in the P4–epigenome–transcriptome networks for uterine function under physiologic and pathophysiologic conditions.

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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CFP1 governs uterine epigenetic landscapes to intervene in progesterone responses for uterine physiology and suppression of endometriosis (RNA-Seq)

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