Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNA-seq data of granulosa cells in chicken ovary

ABSTRACT: RNA-seq data of granulosa cells in chicken ovary

PROVIDER: PRJNA446561 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR6911322_1.fastq.gz	Fastqsanger.gz
	SRR6911322_2.fastq.gz	Fastqsanger.gz
	SRR6911323_1.fastq.gz	Fastqsanger.gz
	SRR6911323_2.fastq.gz	Fastqsanger.gz
	SRR6911324_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 6

Similar Datasets

RNA-seq data of granulosa cells in chicken ovary

Project description:Transcriptomics of granulosa cells from different developing stages (6mm, F5, F1) in chicken ovary

2018-12-01 | GSE112470 | GEO

RNA-seq data of proximal and distal granulosa cells in chicken F1 and F5 ovarian follicles

Project description:Transcriptomics of proximal granulosa cells vs distal granulosa cells from F5 and F1 in chicken ovary

2019-10-31 | GSE118886 | GEO

Dynamic transcriptome and chromatin architecture in granulosa cells during chicken folliculogenesis

Project description:Ovarian follicle development is a complex and well-orchestrated biological process. Granulosa cells (GCs) are the most important somatic cells in the ovary, which play important roles in the growth of follicles. Three-dimensional (3D) chromatin architecture has emerged as an important regulator of transcription in eukaryote, but how these changes in granulosa cells during folliculogenesis of chicken are largely unexplored. Here, we performed an integrative analysis of transcriptomic and chromatin structural characterization for chicken follicular granulosa cells of 10 and 3 growth stages respectively.

2021-11-10 | GSE181756 | GEO

Dynamic transcriptome and chromatin architecture in granulosa cells during chicken folliculogenesis

Project description:Ovarian follicle development is a complex and well orchestrated biological process. Chromatin spatial organization has emerged as an important regulator of gene expression, but how these changes during follicle development are still unknown. Here, we integrated RNA-seq and Hi-C analyses of chicken follicular granulosa cells of 10 developmental stages. Our data revealed that SWF, F1, and POF had the greatest transcriptome differences from other stages. Our results provide a genome-wide atlas of chromatin interactions during chicken ovarian follicle development.

2021-11-10 | GSE167064 | GEO

Broiler chicken Iso-Seq Ovary

Project description:Broiler chicken Iso-Seq Ovary

| PRJEB24826 | ENA

Transcription profiling of chicken (ovary, testes)

Project description:Sex chromosomes are characterized by a non-random content of genes with preferential expression in one sex. The mechanisms which are responsible for this phenomenon are, however, largely unresolved. To elucidate selective forces shaping the Z chromosome gene content in chicken, we analyzed microarray data from adult and embryonic gonads (the latter already available in GEO Series GSE8693). Experiment Overall Design: Total RNA from gonads of 8 males and 8 females was used for hybridization to Affymetrix GeneChipÂ® Chicken Genome Arrays. Prior to hybridization the samples were combined in equal quantities into 4 pools (4 testes/ovary samples in each pool), 2 of them representing testis and 2 ovary. Experiment Overall Design: All four GeneChips met Affymetrix quality control criteria. Furthermore, all chips were checked by methods based on probe level robust linear model fitting provided by "affyPLM" package (Bolstad, 2007). None of the chips showed any signs of abnormality.

2009-12-14 | E-GEOD-14013 | biostudies-arrayexpress

Transcriptome of tumor biopsy sample of patient with granulosa cell tumor of the ovary

Project description:We profiled gene expression in formalin-fixed, paraffin-embedded (FFPE) tumor biopsy sample of the patient with granulosa cell tumor of the ovary.

2018-04-02 | GSE112579 | 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

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

2012-11-06 | GSE34526 | GEO

Whole genomic DNA methylation analysis across human polycystic ovary syndrome ovary granulosa cells [MBD-seq]

Project description:Whole genomic DNA methylation analysis across human polycystic ovary syndrome ovary granulosa cells [MBD-seq]

| PRJNA576438 | ENA