Exploration of hub genes involved in PCOS using biological informatics methods

The aim of this study was to find underlying genes and their interaction mechanism crucial to the polycystic ovarian syndrome (PCOS) by analyzing differentially expressed genes (DEGs) between PCOS and non-PCOS subjects. Gene expression data of PCOS and non-PCOS subjects were collected from gene expr...

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Veröffentlicht in:	Medicine (Baltimore) 2022-10, Vol.101 (40), p.e30905-e30905
Hauptverfasser:	Zhou, Fei, Xing, Yuling, Cheng, Tiantian, Yang, Linlin, Ma, Huijuan
Format:	Artikel
Sprache:	eng
Schlagworte:	Calmodulin - genetics Clinical Trial/Experimental Study Computational Biology - methods Epidermal Growth Factor - genetics Female Gene Expression Profiling - methods Gene Expression Regulation, Neoplastic Gene Ontology Glycerolphosphate Dehydrogenase - genetics Glycosaminoglycans Humans NF-kappa B - genetics Phosphatidylinositol 3-Kinases - genetics Polycystic Ovary Syndrome - genetics Proto-Oncogene Proteins c-akt - genetics Toll-Like Receptor 4 - genetics
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Beschreibung
Zusammenfassung:	The aim of this study was to find underlying genes and their interaction mechanism crucial to the polycystic ovarian syndrome (PCOS) by analyzing differentially expressed genes (DEGs) between PCOS and non-PCOS subjects. Gene expression data of PCOS and non-PCOS subjects were collected from gene expression omnibus (GEO) database. GEO2R were used to calculating P value and logFC. The screening threshold of DEGs was P
ISSN:	1536-5964 0025-7974 1536-5964
DOI:	10.1097/MD.0000000000030905