Project description:Progesterone (P) acting through its cognate nuclear receptors (PRs) plays an essential role in driving pregnancy-associated branching morphogenesis of the mammary gland. However, the fundamental mechanisms, including global cistromic and acute genomic transcriptional responses that are required to elicit active branching morphogenesis in response to P, have not been elucidated. We used chromatin immunoprecipitation followed by deep sequencing (ChIP-seq) to identify P-regulated genes that directly recruit PRs in the mouse mammary gland after acute P treatment. Two replicate PR ChIP samples and two replicate input DNA control samples from mouse mammary glands after mice are treated subcutaneously with 17?-Estradiol for 24 hours and then 17?-Estradiol plus Progesterone for 6 hours.
Project description:Progesterone (P) acting through its cognate nuclear receptors (PRs) plays an essential role in driving pregnancy-associated branching morphogenesis of the mammary gland. However, the fundamental mechanisms, including global cistromic and acute genomic transcriptional responses that are required to elicit active branching morphogenesis in response to P, have not been elucidated. We used microarray analysis to identify global gene expression signatures that are acutely regulated by PRs in the mouse mammary gland after acute P treatment. Mammary gland gene expression data from 10-week-old ovariectomized wildtype and progesterone receptor null mice treated subcutaneously with 17β-Estradiol for 24 hours and then 17β-Estradiol plus Progesterone for 8 or 24 hours. Three replicate pools were tested with three mice per pool.
Project description:Transcriptional profiling of different mouse mammary cellular compartments (basal, luminal and stromal) under define hormone treatments: estrogen, progesterone, estrogen plus progesterone and the vehicle control. Goal was to determine the effect of ovarian hormones on mammary cellular compartment gene expression. Four-condition experiment within each cellular compartment. vehicle vs. estrogen, progesterone and estrogen plus progesterone. Biological replicates: 3 vehicle control, 4 estrogen treatment, 3 progesterone treatment, 4 estrogen plus progesterone treatment in each epithelial compartment (luminal, basal). 3 vehicle control, 3 estrogen, 3 progesterone, 3 estrogen plus progesterone in the stromal compartment.
Project description:In this project we examined in-vitro effect of female sex hormones, estradiol and progesterone at average physiological concentration level on Chlamydia trachomatis gene expression level. Regulation of chlamydial gene expression by the female sex hormones oestradiol and progesterone was examined. A total of 16 chlamydial arrays were analysed with the 4 culture conditions (no hormone, E, P, E+P) x four replicates. Bacterial samples were grown in non-hormone treated culture were used as control
Project description:Decidualization is critical for the embryonic implantation and successful pregnancy. ATRA can suppress in-vitro decidualization of human endometrial stromal cells (hESCs) induced by MPA and estrogen treatment. However, the mechanism by which RA suppressed estrogen and progesterone induced decidualization of mESCs is not clear. We used microarrays to investigate the mechanism by which all-trans RA (ATRA) regulates the decidualization of endometrial stroma cells (mESCs). mESCs were isolated at day 4 of pseudopregnancy and cultured with administration of E2 and P4 in the presence or absence of ATRA for 72h.
Project description:In the present study transcriptome analysis was employed to investigate the early molecular responses to exposure to 17β-estradiol (CAS 50-28-2). Zebrafish embryos were exposed to 17β-estradiol according to OECD guidelines (OECD test No. 236). At the end of exposure time (96 hours), simultaneous RNA and protein extraction from 10 embryos was performed using a Macherey & Nagel RNA/protein extraction kit. The obtained RNA extracts were sequenced using Illumina NovaSeq 6000 system System and the obtained sequences went through bioinformatic analysis pipeline to Identify and count the detected gene sequences followed by differential gene expression analysis. Finally, potential substance specific biomarker candidates were refined and selected based on the differential expression patterns and the biological functions investigation of the detected DEGs.
Project description:DNA microarrays were used to investigate global gene expression patterns in cultured human umbilical artery endothelial cells (HUAECs) exposed to 1 nmol/L estradiol and/or 100 µg/ml oxidized low density lipoprotein (oxLDL) for 24 hours compared to control cells. HUAECs from 15 separate cultures were exposed to control (0.1% ethanol), 1nmol/L estradiol, 100 µg/ml oxLDL, or 1nmol/L estradiol + 100 µg/ml oxLDL treatments for 24 h. Total cellular RNA was extracted. Equal amounts of RNA extracted from 3 control cells or 3 estradiol-treated cells obtained from three different cultures were pooled, achieving five biological replicates of the control, five replicates that were treated with estradiol, five replicates that were treated with oxLDL and five replicates that were treated with estradiol+oxLDL . Therefore, a total number of 20 microarrays were developed.
Project description:Many environmental toxicants can activate the estrogen receptor α (ERα), contributing to disruption of normal endocrine function. Although these activities are known from in silico, in vitro and in vivo models, transferring the active concentrations between the different models is often challenging. We hypothesized that cellular uptake and the resulting active free intracellular concentration could bridge the gap in efficacy between assays of different complexity. Here, we tested this hypothesis by comparing cell-free (hER) and cellular (ERα-CALUX cells) estrogen assays. First, we used predictive modeling to select representative estrogenic chemicals from the ToxCast collection. Three classes of compounds were identified: Bisphenols, parabens and phthalates. We then confirmed that the potency of many of the estrogenic chemicals differed between the two systems. Next, we determined cellular uptake and intracellular binding using computational and experimental methods. Finally, we used cellular uptake and intracellular binding to improve the correlation between ERα activities in cell-free systems (hER) and cellular systems (ERα-CALUX cells) to allow translation of active concentrations between the two models. Both the computationally derived and measured cellular TK parameters varied widely between the different classes and chemicals within these classes. The free intracellular concentration was up to 1000 times lower than the nominal extracellular concentration. Correcting the active concentrations in the cell-free and cell-based assays for the computationally predicted or experimentally derived free (unbound) concentration resulted in significantly improved correlations between the two assays. The potencies in the two systems corrected by the experimentally derived cell uptake and binding showed a better correlation (Pearson coefficient, r = 0.887) than the computationally derived one (r = 0.811), and both were significantly improved compared to the uncorrected values (r=0.623). Our results indicate that the free intracellular concentration plays a crucial role for the biological activity of the tested estrogenic compounds and that its determination should be considered for a correct prediction of the potency of estrogenic toxicants. Furthermore, the computational predictions of cellular uptake and binding for these chemicals approach the accuracy of the experimentally determined data and could provide a reliable alternative for rapid screening for potential estrogenicity.