Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression profile in human ovarian granulosa cells during long-term in vitro culture

ABSTRACT: Granulosa cells (GCs) have many endocrine functions. However, in long-term in vitro culture GCs can change their properties. GCs were collected from hyper-stimulated ovarian follicles from woman during IVF procedures. They were cultured in in vitro long-term culture. RNA was collected after 1, 7, 15 and 30 days of culture. Expression microarrays were used for analysis, which allowed to identify groups of genes characteristic for particular cellular processes. In this study, we demonstrated the gene expression profile of long time primary cultured human ovarian granulosa cells.

ORGANISM(S): Homo sapiens

PROVIDER: GSE129919 | GEO | 2019/04/17

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Human Granulosa Cells Proteome

Project description:Human granulosa cells are follicular cells surrounding the oocyte. Human granulosa cells are retrieved during in vitro fertilization a process where patients undergo hormonal stimulation including FSH and LH/hCG stimulation. Under the influence of the luteinizing hormone (LH) a process called luteinization they differentiate to luteal cells and contribute to the corpus luteum. Therefore, this cellular system is a good model for human corpus luteum (CL). To study processes within the human CL, IVF-derived GCs from patients were cultured for two to five days and then analyzed with mass spectrometry based shotgun proteomics.

2019-03-07 | PXD010658 | Pride

Gene expression profile in porcine ovarian granulosa cells during short-term in vitro culture

Project description:The porcine ovarian granulosa cells, when analysed during in vitro cultures, may provide new interesting data on the processes associated with in vitro culture of porcine oocytes, as well as assisted reproduction and in vitro fertilisation processes used in the livestock industry. Porcine ovarian granulosa cells were obtained from 43 crossbred Landrace gilts with a median age of 170 days and weight of 98 kg after slaugheter. The cells were harvested after 0h, 48h, 96h and 144h after begining of culture and submited to RNA isolation and microarray analisys. In this study, we demonstrated the gene expression profile of short term primary cultured porcine ovarian granulosa cells.

2019-07-17 | GSE134361 | GEO

Zinc increases hormone receptor expression in human ovarian granulosa cells and gene profiling

Project description:To investigate the critical role of the trace element zinc in the expression of resistance to oxidative stress and hormonal responses in human ovarian granulosa cells (GCs). To investigate the critical role of the trace element zinc in the expression of antioxidant stress and hormonal responses in human ovarian granulosa cells (GCs).

2022-04-25 | GSE201223 | GEO

Regulation of human granulosa cells by oxygen

Project description:Human granulosa cells (GCs), obtained during medical reproductive procedures can be cultured and are a cellular model for the human ovary. Oxygen concentrations are regarded as important regulators of GCs. We examined consequences of low (1%) O2 versus standard atmospheric conditions in cultured human GCs for four days. A proteomic analysis of three pools of human GCs was performed. While differences between the pools of GCs were noted, the abundance of 133 proteins was significantly increased in hypoxia in all samples, whereas the abundance of 391 proteins was decreased.

2023-12-20 | PXD042934 | Pride

High-throughput RNA sequencing of human preovulatory cumulus and mural granulosa cells (mRNA)

Project description:The granulosa cells in the mammalian ovarian follicle respond to gonadotropin signalling and are involved in the processes of folliculogenesis and oocyte maturation. Studies on gene expression and regulation in human granulosa cells are of interest due to their potential for estimating the oocyte viability and IVF success. The current study determined the mRNA profile by deep sequencing of the two intrafollicular somatic cell types: mural and cumulus granulosa cells isolated from women undergoing controlled ovarian stimulation and in vitro fertilization. Paired cumulus and mural granulosa samples were analysed from 3 women participating in IVF procedure. Differential gene expression study was performed. The identified gene expression profile was also used for predicting targets for miRNAs that were also identified from the same samples (GSE46489).

2013-08-05 | E-GEOD-46490 | biostudies-arrayexpress

Analysis of cryopreservation of human granulosa cells

Project description:Human primary granulosa cells (GCs) derived from women, undergoing oocyte retrieval, can be cultured and are a cellular model for the study of human ovarian functions. In vitro they change rapidly, resembling initially cells of the preovulatory follicle and then cells of the corpus luteum. They are derived from individual patients and their different medical history, lifestyle and age lead to heterogeneity. Thus, cells can rarely be ideally matched for cellular experiments or, if available, only in small quantities. We reasoned that cryopreservation of human GCs may be helpful. Previous studies indicated feasibility of such an approach, but low survival of GCs was reported and consequences on GC functionality were only partially evaluated. We tested a slow freezing protocol (employing FCS and DMSO) of GCs upon isolation from follicular fluid. We compared cryopreserved and subsequently thawed cells with fresh, not cryopreserved ones, from the same patients. About 80 % of human GCs survived freezing/thawing. Neither morphology, nor levels of cell-cell contact, mitochondrial and steroidogenic genes were different between the two groups in cells cultured for 1-5 days. A proteomic analysis revealed no statistical significance in the abundance of a total of 5962 proteins. Both groups produced comparable basal levels of progesterone and responded similarly to hCG with elevation of progesterone. Taken together, we describe a rapid and readily available method for the cryopreservation of human GCs. We anticipate that it will allow future large-scale experiments and may thereby improve cellular studies with human ovarian cells.

2021-07-28 | PXD025632 | Pride

Small RNA sequencing of human preovulatory cumulus and mural granulosa cells

Project description:The granulosa cells in the mammalian ovarian follicle respond to gonadotropin signalling and are involved in the processes of folliculogenesis and oocyte maturation. Studies on gene expression and regulation in human granulosa cells are of interest due to their potential for estimating the oocyte viability and IVF success. However, the post-transcriptional gene expression studies on miRNA level in the human ovary have been scarce. The current study determined the miRNA profile by deep sequencing of the two intrafollicular somatic cell types: mural and cumulus granulosa cells isolated from women undergoing controlled ovarian stimulation and in vitro fertilization. Paired cumulus and mural granulosa samples were analysed from 3 women participating in IVF procedure. Libraries of all 6 samples were sequenced twice, generating 2 technical replicates for each sample. Differential gene expression study was performed on the pooled results of technical replicates.

2013-08-05 | E-GEOD-46489 | biostudies-arrayexpress

Single-Cell Gene Expression Atlas of Human Follicular Aspirates: Impacts of Leukocytes on the Ovulatory Process

Project description:Leukocytes are in situ regulators for ovarian functions. However, little is known about leukocyte subpopulations and functions in ovulatory follicles, especially in humans. This study performed single-cell RNA sequencing and bioinformatics analyses using follicular aspirates obtained from four IVF patients. Nineteen clusters were identified: six follicular cells, ten subsets of leukocytes, and one RBC/platelet. Using dominant follicle tissues collected throughout the periovulatory period from normally cycling women and cultured primary human granulosa/lutein cells, we determined the cell type-specific expression of PTPRC, CD68, IL1B, and IL1R1. RNA velocity analyses revealed developmental dynamics across five granulosa cell groups and two projections of granulosa cell differentiation. To understand how leukocytes promote periovulatory changes, we sought leukocyte-derived factors potentially involved in 1) granulosa cell function by activating their receptors, 2) tissue remodeling, and 3) angiogenesis in ovulatory follicles. Collectively, these findings identified diverse leukocyte-secreted factors that facilitate ovulation and luteinization in the human ovary.

2023-01-01 | GSE206143 | GEO

High-throughput RNA sequencing of human preovulatory cumulus and mural granulosa cells (mRNA)

2013-08-05 | GSE46490 | GEO

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 ›

Tweets

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