Similar Datasets
Project description:RNA-Seq analysis of human granulosa cell after COS and mild ovarian stimulation
| PRJNA790975 | ENA
Project description:We used MethylCap-seq and RRBS to profile methylomes of purified human ovarian granulosa cells. Genomic DNA methylation patterns in ovarian granulosa cells were compared between two groups of women: i) oocyte donors (n=20) who were young (age 26 ± 2.2 years) and had robust response to ovarian stimulation during assisted reproductive technology (ART) (mean number of oocytes retrieved = 25); versus ii) poor responders (n=20) who were older (age 40 ± 2.3 years) and responded poorly to ovarian stimulation during ART (oocytes retrieved ≤4 and peak estradiol level ≤ 1000 pg/ml). The first group served as healthy control. The second group represented the majority of women in their early 40s who have the natural age-related decline of ovarian functions and therefore respond poorly to ovarian stimulation during ART. We compared DNA methylomes in ovarian granulosa cells from oocyte donors versus poor responders using two approaches: MethylCap-seq for broader genomic coverage, and RRBS for absolute quantification. Due to very limited amount of materials available from each poor responder, samples containing equal amounts of granulosa cell DNA were pooled from 10 individuals in each group. A second set of experiments pooling granulosa cell DNA samples from independent donor and poor responder groups (ten individuals each) was then performed.
2015-10-14 | GSE63470 | GEO
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
Project description:RNA was extracted from normal human granulosa cells from IVF patients (hGC1 and hGC2 samples) and from adult-type ovarian granulosa cell tumor samples (H1, H8, H20, H23, H24, H28, H30, H33, H4, H18) as described in Jamieson et al, 2010. RNA from all samples was linearly amplified using the Whole Transcriptome Amplification kit (Sigma), starting from 300ng of RNA, and with 12 amplifications cycles. cDNA was purified on columns and sent to the Nimblegen platform for hybridization and transcriptional profiling. The FOXL2 locus was gentoyped in tumor samples, and all samples were found positive for the recurrent somatic mutation p.Cys134Trp which is present in >95% of adult-type ovarian granulosa cell tumors (Shah et al, 2009).
2012-08-02 | E-MTAB-483 | biostudies-arrayexpress
Project description:We used mRNA-seq to profile transcriptomes of purified human ovarian granulosa cells
2015-10-14 | GSE62093 | GEO
Project description:The Forkhead Box, FOXO1 and FOXO3, transcription factors regulate multiple functions in mammalian cells. Selective inactivation of the Foxo1 and Foxo3 genes in murine ovarian granulosa cells severely impairs follicular development and apoptosis causing infertility, and as shown herein, granulosa cell tumor (GCT) formation. Coordinate depletion of the tumor suppressor Pten gene in the Foxo1/3 strain enhanced the penetrance and onset of GCT formation A direct comparison of ovarian granulosa cells from wild type d25 and FOXO/PTEN knockout granulosa cell tumors.
2015-06-17 | E-GEOD-67662 | biostudies-arrayexpress
Project description:Comparing cumulus and granulosa cells from human individual pre-ovulatory follicles after controlled ovarian stimulation
2012-09-28 | E-MEXP-3641 | biostudies-arrayexpress
Project description:Much remains unknown about the reproductive physiology of southern white rhinoceros (SWR) and the effect of ovarian stimulation prior to ovum pickup (OPU) have not been fully elucidated. Granulosa cells (GC) provide valuable insight into follicle growth and oocyte maturation status. The goals of this study were to evaluate transcriptomic changes in GC from three stages of follicle development and to identify biomarkers possibly associated with follicular growth and maturation as a result of ovarian stimulation. GC collected from SWRs following OPU were assigned stages based upon follicle size. Total RNA was isolated, and cDNA libraries were prepared and sequenced on a NovaSeq 6000. All bioinformatics analyses were performed utilizing the Galaxy web platform. Reads were aligned to CerSimCot1.0, and the manual curation was performed with EquCab3.0. Overall, 39,455 transcripts (21,612 genes) were identified across follicle stages, and manual curation yielded a 61% increase in gene identification from the original annotation. Granulosa cells from preovulatory follicles expressed the highest number of unique transcripts. The following seven biomarkers were determined based upon cluster analysis and patterns of expression: COL1A1, JMY, FBXW11, NRG1, TMPO, MACIR and COL4A1. These data can be used to potentially evaluate the effects of different ovarian stimulation protocols on follicle dynamics, improve OPU results, and support conservation efforts in this species.
2024-08-25 | GSE261038 | GEO
Project description:The growth of the mammalian ovarian follicle requires the formation of a fluid filled antrum, and maturation and differentiation of the ovarian granulosa cells, largely under the control of Follicle Stimulating Hormone (FSH). Many follicles will regress and die by a process called atresia at this early antral stage. We therefore decided to analyse the gene expression profiles of granulosa cells cultured in the presence or absence of FSH and Tumour Necrosis Factor-alpha (TNFα), an apoptotic factor, to simulate the key influences. Different concentratons of FSH and TNFa in granulosa culture were used to determine effective conditions via estradiol and progesterone production, and cell number. RNA for the array experiments and quantitative real time PCR was extracted from cells cultured with FSH added at 0.33 and TNFα at 50 ng/ml.
2014-05-20 | GSE42535 | GEO
Project description:The growth of the mammalian ovarian follicle requires the formation of a fluid filled antrum, and maturation and differentiation of the ovarian granulosa cells, largely under the control of Follicle Stimulating Hormone (FSH). Many follicles will regress and die by a process called atresia at this early antral stage. We therefore decided to analyse the gene expression profiles of granulosa cells cultured in the presence or absence of FSH and Tumour Necrosis Factor-alpha (TNF-alpha), an apoptotic factor, to simulate the key influences. Different concentratons of FSH and TNFa in granulosa culture were used to determine effective conditions via estradiol and progesterone production, and cell number. RNA for the array experiments and quantitative real time PCR was extracted from cells cultured with FSH added at 0.33 and TNF-alpha at 50 ng/ml. Four treatments of : (1) FSH alone, (2) TNF-alpha alone, (3) FSH + TNF-alpha and (4) control = neither drug, with replicates (n=4, except controls n=3 ) were used to generate RNA for the gene expression arrays (n=15)
2014-05-20 | E-GEOD-42535 | biostudies-arrayexpress