Genomics

Dataset Information

0

Identification of microRNAs involved in polycystic ovary syndrome based on High-throughput sequencing [miRNA-seq]


ABSTRACT: Aberration in miRNA expression or DNA methylation is a causal factor for numerous pathological conditions including polycystic ovarian syndrome PCOS, a common endocrine disorders and leading cause of infertility. The epigenetic interactions between miRNA and DNA methylation remain unexplored in PCOS. Few studies have reported that the regulation of miRNAs in polycystic ovary syndrome(PCOS). Our study helps to understand the molecular pathogenesis of PCOS in human ovarian granulosa cells from the perspective of post-transcriptional level. Overall design: In this study, we applied small RNA sequencing in ovarian granulosa cells of PCOS patients and normal people.

INSTRUMENT(S): Illumina HiSeq 2000 (Homo sapiens)

ORGANISM(S): Homo sapiens  

SUBMITTER: yani Kang  

PROVIDER: GSE138572 | GEO | 2019-10-09

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
GSE138572_miRNA.xlsx Xlsx
Items per page:
1 - 1 of 1

Similar Datasets

2019-10-09 | GSE138573 | GEO
2019-10-08 | GSE138518 | GEO
1000-01-01 | S-EPMC5053696 | BioStudies
2020-01-01 | S-EPMC7116598 | BioStudies
2020-01-01 | S-EPMC7473319 | BioStudies
2019-01-01 | S-EPMC6458760 | BioStudies
2018-10-30 | GSE114419 | GEO
1000-01-01 | S-EPMC5589802 | BioStudies
2012-11-06 | E-GEOD-34526 | ArrayExpress
2020-01-01 | S-EPMC7518144 | BioStudies