Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Genome-wide identification of micro-ribonucleic acids associated with human endometrial receptivity in natural and stimulated cycles by deep sequencing

ABSTRACT: In this study, we took advantage of deep sequencing approaches to investigate the miRNA expression profiles of human endometrium on days LH+2 and LH+7 in natural cycles, and compare them with those on days hCG+4 and hCG+7 in stimulated cycles during IVF treatment. Examination of miRNA expression in human endometrium during natural and stimulated cycles

ORGANISM(S): Homo sapiens

SUBMITTER: Zeng-Ming Yang

PROVIDER: E-GEOD-26516 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Genome-wide identification of micro-ribonucleic acids associated with human endometrial receptivity in natural and stimulated cycles by deep sequencing.

Sha Ai-Guo AG Liu Ji-Long JL Jiang Xiao-Ming XM Ren Jian-Zhi JZ Ma Cai-Hui CH Lei Wei W Su Ren-Wei RW Yang Zeng-Ming ZM

Fertility and sterility 20110520 1

<h4>Objective</h4>To identify microRNAs (miRNAs) associated with endometrial receptivity.<h4>Design</h4>Observational study.<h4>Setting</h4>Medical center.<h4>Patient(s)</h4>Healthy, regularly cycling women undergoing IVF treatment.<h4>Intervention(s)</h4>Gonadotropin stimulation and endometrial biopsy.<h4>Main outcome measure(s)</h4>Quantification of miRNA expression profiles by deep sequencing.<h4>Result(s)</h4>The miRNA expression profiles in human endometrium on days LH+2 and LH+7 (LH = 0 is ...[more]

PMID: 21601191

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Project description:Determining the spatial and temporal expression of genes involved in the ovulatory pathway is critical for the understanding of the role of each estrogen receptor in the modulation of folliculogenesis and ovulation. Estrogen receptor (ER) b is highly expressed in ovarian granulosa cells and mice lacking ERb (bERKO) are subfertile due to inefficient ovulation. Previous work has focused on isolated granulosa cells or cultured follicles and while informative, provides confounding results due to the heterogeneous cell types present including granulosa, theca and oocytes and exposure to in vitro conditions. Herein, we isolated preovulatory granulosa cells from WT and ERb-null mice using laser capture microdissection to examine the genomic transcriptional response downstream of PMSG (mimicking FSH) and PMSG/hCG (mimicking LH) stimulation. This allows for a direct comparison of in vivo granulosa cells at the same stage of development from both WT and ERb-null ovaries. ERb-null granulosa cells showed altered expression of genes known to be regulated by FSH (Akap12 and Runx2) as well as not previously reported (Arnt2 and Pou5f1) in WT granulosa cells. Our analysis also identified 304 genes not previously associated with ERb in granulosa cells. LH responsive genes including Abcb1b and Fam110c show reduced expression in ERb-null granulosa cells; however novel genes including Rassf2 and Megf10 were also identified as being downstream of LH signaling in granulosa cells. Collectively, our data suggests that granulosa cells from ERb-null ovaries may not be appropriately differentiated and are unable to respond properly to gonadotropin stimulation We used microarray to compare the gene expression profiles of wiltype (WT) and Erb-null (bERKO) preovulatory granulosa cells as they respond to either PMSG or PMSG+hCG treatments. Laser microdissection was used to collect a purified population of granulosa cells only from preovulatory follicles. We chose to compre the response to PMSG or PMSG+hCG of granulosa cells collected from either WT and bERKO preovulatory follicles. We chose to collect cells 48h after mice were treated with PMSG to compare the gene expression profile ot preovulatory granulosa cells. We also studied the response of these cells to LH (or hCG) as we collected cells 4h after mice were treated with hCG (peak of transcriptional response to hCG).

Dataset Information

Genome-wide identification of micro-ribonucleic acids associated with human endometrial receptivity in natural and stimulated cycles by deep sequencing

Publications

Genome-wide identification of micro-ribonucleic acids associated with human endometrial receptivity in natural and stimulated cycles by deep sequencing.

Similar Datasets

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