Transcriptomics

Dataset Information

0

High-throughput lncRNA sequencing profile of ovarian granulosa cells in polycystic ovary syndrome


ABSTRACT: Purpose:To examine different expression profiles of lncRNAs and mRNAs in ovarian granulosa cells (GCs) in PCOS patients and controls Patients:6 GCs samples in each group were subjected to high-thoughput sequencing Results:54,615 lncRNAs and 123,141 mRNAs were detected in this high-thoughput sequencing, and we identified 1049 differential expressed lncRNAs and 3246 mRNAs (fold-change≧2, P-value<0.05). So far, we found 7 lncRNAs and 3mRNAs were validated consistent with sequence profile which were selected, randomly. There is still a large part that we have not verified yet. Conclusion: Our study provides the detail analysis of GCs transcriptomes, generated by high-thoughput technology. This report also provides a framework for comparative investigations of PCOS. Our results revealed the expression of lncRNAs, mRNAs and part of circRNAs in PCOS, after more in-depth research in future, it can provide basic datas for studying the pathogenesis of PCOS.

ORGANISM(S): Homo sapiens

PROVIDER: GSE173160 | GEO | 2023/04/20

REPOSITORIES: GEO

Dataset's files

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

Similar Datasets

2021-03-08 | GSE168404 | GEO
2020-03-05 | GSE95728 | GEO
2022-05-11 | GSE191023 | GEO
2022-05-11 | GSE191022 | GEO
2023-03-06 | GSE226146 | GEO
2021-03-11 | GSE159466 | GEO
2020-09-08 | GSE155489 | GEO
2017-08-07 | GSE102293 | GEO
2024-10-30 | GSE277906 | GEO
2016-02-01 | GSE65746 | GEO