Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

16 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcription profiling of controlled ovarian hyperstimulation in human granulosa cells

ABSTRACT: The objective of this study was to investigate the differences in the gene expression profile of the granulosa cells from preovulatory follicles obtained after controlled ovarian hyperstimulation (COH) with either recombinant FSH (rFSH) or urine derived human menopausal gonadotropins (hMG).

INSTRUMENT(S): 418 [Affymetrix]

ORGANISM(S): Homo sapiens

SUBMITTER: Rehannah Borup

PROVIDER: E-MEXP-1238 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Publications

Differences in gene expression of granulosa cells from women undergoing controlled ovarian hyperstimulation with either recombinant follicle-stimulating hormone or highly purified human menopausal gonadotropin.

Grøndahl Marie Louise ML Borup Rehannah R Lee Young Bae YB Myrhøj Vibeke V Meinertz Helle H Sørensen Steen S

Fertility and sterility 20080425 5

<h4>Objective</h4>To investigate the differences in the gene expression profile of granulosa cells from preovulatory follicles after controlled ovarian hyperstimulation (COH) with recombinant follicle-stimulating hormone (FSH) or urinary human menopausal gonadotropin (hMG) FSH.<h4>Design</h4>Prospective randomized study.<h4>Setting</h4>University-based facilities for clinical services and research.<h4>Patient(s)</h4>Thirty women undergoing treatment with vitro fertilization/intracytoplasmic sper ...[more]

PMID: 18439596

Similar Datasets

Transcription profiling of human mature oocytes in relation to age

Project description:Background: The development competence of human oocytes declines with increasing age. The objective of this study was to investigate the effect of age on gene expression profile in mature human oocytes.<br>Methods: mRNA was isolated for whole genome gene expression microarray analysis from metaphase II (MII) oocytes donated by IVF or ICSI patients (10 women aged <36 years (younger) and 5 women aged 36-39 years (both inclusive) (older)) undergoing controlled ovarian simulation

2009-12-31 | E-MEXP-2347 | biostudies-arrayexpress

The ISWI ATPase Snf2L is required for superovulation and regulates Fgl2 in differentiating mouse granulosa cells

Project description:We investigate the role of Snf2l in ovaries by characterizing a mouse bearing an inactivating deletion on the ATPase domain of Snf2l (Ex6DEL). Snf2l mutant mice produce significantly fewer eggs than control mice when superovulated. Thus, gonadotropin stimulation leads to a significant deficit in secondary follicles and an increase in abnormal antral follicles. We profiled the expression of granulosa cells from Snf2l WT and Ex6DEL mice treated with pregnant mares' serum gonadotropin followed by human chorionic gonadotropin Granulosa cells from either Snf2l WT or Ex6DEL mice treated with PMSG followed by hCG were collected at 0h and 4h post-hCG. Each array includes granulosa cells pooled from 5 mice.

2013-05-01 | E-GEOD-42997 | biostudies-arrayexpress

Quantitative proteomic analysis of oocytes from high-fat diet (HFD)-fed and normal diet mice

Project description:In order to establish an obese mouse model, female mice were continuously fed with a high-fat diet (HFD) or a normal diet (control) for 16 weeks beginning at three weeks of age. In this paper, these mice are termed ‘HFD mice’ and ‘control mice’, respectively. Accordingly, we call their oocytes ‘HFD oocytes’ and ‘control oocytes’. Substantial evidence indicates that the effects of maternal obesity on embryo/offspring development can be attributed to factors within the oocyte (9). To identify such potential effectors, we performed a comparative proteomic analysis of ovulated MII oocytes from control and HFD mice.

2018-05-24 | PXD006641 | Pride

Growth hormone supplementation reduces aneuploidy and improves the quality of oocytes by activating ERK1/2 pathway in aged mice

Project description:The decline in oocyte quality is a limiting factor of female fertility; however, strategies to maintain the oocyte quality of aged women are not available. In this study, we showed that growth hormone (GH) supplementation in vivo not only alleviated the decline in oocyte number caused by aging, but also improved the quality and developmental potential of aged oocytes. Strikingly, GH supplementation reduced aneuploidy in aged oocytes. Proteomic analysis indicated that the ERK1/2 pathway was involved in the reduction in aneuploidy rate of aged oocytes, as confirmed both in vivo and in vitro. In addition, JAK2 might be involved in the regulation of ERK1/2 by GH in aged oocytes. Collectively, our findings revealed that GH supplementation protects oocytes from aging-related aneuploidy and enhances the quality of aged oocytes, and could be used to improve the outcome of assisted reproduction in aged women.

2023-07-20 | PXD039147 | Pride

Expression data from human cumulus cells isolated from oocytes at MI and MII stages in polycystic ovary syndrome (PCOS) patients

Project description:Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder that is characterized by increased circulating androgen levels, anovulatory infertility, and frequently, insulin resistance and hyperinsulinemia.The abnormity of oocyte nuclear maturity is the main reason for anovulatory infertility and pregnancy loss in PCOS patients.The bidirectional exchanges between oocyte and contiguous CCs are important for oocyte competence acquisition, early embryonic development and CC expansion.Gene expression profiles of CCs has been suggested to predict embryo development and pregnancy outcome. We used microarrays to detail the global programme of gene expression of CCs isolated from oocytes at metaphase I (CCMI) and metaphase II (CCMII) stage under controlled ovarian stimulation (COS) cycle in PCOS patients. Cumulus cells were isolated from oocyte at stage metaphase 1(MI)and stage metaphase II (MII) of PCOS patients for RNA extraction and hybridization on Affymetrix microarrays. For microarray analysis, we used three chips for each CC category. That is, CCMI1,CCMI2,CCMI3,CCMII1,CCMII2 and CCMII3.

2013-06-05 | E-GEOD-40400 | biostudies-arrayexpress

Identification of new ovulation-related genes in humans by comparing the transcriptome of granulosa cells before and after ovulation triggering in the same controlled ovarian stimulation cycle

Project description:Comparison of 9 paired human granulosa cell samples just before and 36h after hCG triggering for controlled ovarian stimulation, to explore genes regulated by hCG and involved with ovulation and final oocyte maturation.

2014-02-15 | E-MTAB-2203 | biostudies-arrayexpress

Transcription profiling of rat periovulatory granulosa cells treated with Org 31710 in vitro

Project description:Transcriptional effects of Org 31710 in rat periovulatory granulosa cells in vitro

2009-10-02 | E-MEXP-1974 | biostudies-arrayexpress

granulosa cell tumor vs normal granulosa cells

Project description:mRNA expression profiling in human granulosa cell tumor cell line and normal granulosa cells

2012-01-26 | E-MTAB-957 | biostudies-arrayexpress

Comparison of granulosa cells from WT and Inha KO mice following gonadotropin stimulation

Project description:Inhibin α knockout (Inha-/-) female mice develop sex cord-stromal ovarian cancer with complete penetrance and previous studies demonstrate that the pituitary gonadotropins [follicle stimulating hormone (FSH) and luteinizing hormone (LH)] are influential modifiers of granulosa cell tumor development and progression in inhibin-deficient females. Recent studies have demonstrated that Inha-/- ovarian follicles develop precociously to the early antral stage in prepubertal mice without any increase in serum FSH and these studies suggested that in the absence of inhibins, granulosa cells differentiate abnormally, and thus at sexual maturity may undergo an abnormal response to gonadotropin signaling. To test this hypothesis, we stimulated immature WT and Inha-/- female mice prior to gross tumor formation with gonadotropin analogs, and subsequently examined post-gonadotropin induced ovarian follicle development, as well as preovulatory and hCG-induced gene expression changes in granulosa cells. We find that at three weeks of age, inhibin-deficient ovaries do not show further antral development nor undergo cumulus expansion. Widespread alterations in the transcriptome of gonadotropin-treated Inha-/- granulosa cells suggest that gonadotropins initiate an improper program of cell differentiation in Inha-/- cells. Overall, our experiments reveal that inhibins are essential for the normal gonadotropin-dependent response of granulosa cells. (2) Genotypes (WT, Inh KO) collected from 2 preovulatory granulosa cells with and without hCG, in triplicate independent samples

2011-02-01 | E-GEOD-20466 | biostudies-arrayexpress

Differential Gene Expression in Granulosa Cells from Polycystic Ovary Syndrome Patients with and without Insulin Resistance: Identification of Susceptibility Gene Sets through Network Analysis

Project description:Polycystic ovary Syndrome (PCOS) is a heterogeneous endocrine disorder that shows evidence of genetic predidposition among affected individuals. We have utilized the Microarray data from granulosa cells of normal and PCOS women for network construction. Human granulosa cells were isolated from ovarian aspirates from normal and PCOS women undergoing IVF and for each sample, RNA was extracted and hybridized to an Affymetrix GeneChip.

2012-11-06 | E-GEOD-34526 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data