Transcriptomics

Dataset Information

Coding and Non-coding gene expression signatures of granulosa cells from Polycystic Ovary Syndrome Patients


ABSTRACT: Polycystic ovary syndrome (PCOS), one of the most common endocrinal diseases among reproductive-aged women,is characterized by hyperandrogenemia, chronic oligo/anovulation and polycystic ovarian morphology. In this research, we presented microarrays to identify the differential expressed protein-coding genes and lncRNAs expression profile in the luteinized granulosa cells obtained from PCOS and healthy control patients.

ORGANISM(S): Homo sapiens

PROVIDER: GSE114419 | GEO | 2018/10/30

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets