Back to Search Start Over

Prediction of oocyte quality using mRNA transcripts screened by RNA sequencing of human granulosa cells.

Authors :
Liu, Chengjun
Su, Ketong
Chen, Lu
Zhao, Zijiao
Wang, Xin
Yuan, Chenfeng
Liang, Yuqi
Ji, Huili
Li, Chunjin
Zhou, Xu
Source :
Reproductive BioMedicine Online (Elsevier Science). Sep2021, Vol. 43 Issue 3, p413-420. 8p.
Publication Year :
2021

Abstract

Can RNA transcripts of granulosa cells be used to assess oocyte quality? The possibility of predicting the developmental competence of oocytes by RNA sequencing analysis of granulosa cells was evaluated. Granulosa cell samples were collected from 29 women undergoing assisted reproductive technology treatment and divided into two groups: 14 samples from the high blastocyst rate group and 15 from the low blastocyst rate group. Ten samples from each group were selected for RNA sequencing. A total of 129 differentially expressed genes associated with high developmental competence of oocytes were identified. COL1A2 , renin and COL1A1 were selected and further examined by quantitative real-time polymerase chain reaction (qRT-PCR). Expression levels of COL1A2 and renin by qRT-PCR were consistent with the results of RNA sequencing. RNA sequencing data could provide novel marker genes for the non-invasive evaluation of oocyte quality and embryo developmental competence. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14726483
Volume :
43
Issue :
3
Database :
Academic Search Index
Journal :
Reproductive BioMedicine Online (Elsevier Science)
Publication Type :
Academic Journal
Accession number :
152554910
Full Text :
https://doi.org/10.1016/j.rbmo.2021.05.018