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Identification of Key Genes and Potential New Biomarkers for Ovarian Aging: A Study Based on RNA-Sequencing Data

16 Nov 2020

Abstract excerpt

Ovarian aging leads to reproductive and endocrine dysfunction, causing the disorder of multiple organs in the body and even declined quality of offspring’s health. However, few studies have investigated the changes in gene expression profile in the ovarian aging process. Here, we applied integrated bioinformatics to screen, identify and validate the critical pathogenic genes involved in ovarian aging and...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 33304387
DOI: 10.3389/fgene.2020.590660

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