Identification of key genes involved in type 2 diabetic islet dysfunction: a bioinformatics study

Aims: To identify the key differentially expressed genes (DEGs) in islet and investigate their potential pathway in the molecular process of type 2 diabetes. Methods: Gene Expression Omnibus (GEO) datasets (GSE20966, GSE25724, GSE38642) of type 2 diabetes patients and normal controls were downloaded...

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Detalles Bibliográficos
Autores principales: Zhong, Ming, Wu, Yilong, Ou, Weijie, Huang, Linjing, Yang, Liyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2019
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6542763/
https://www.ncbi.nlm.nih.gov/pubmed/31088900
http://dx.doi.org/10.1042/BSR20182172

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6542763/
https://www.ncbi.nlm.nih.gov/pubmed/31088900
http://dx.doi.org/10.1042/BSR20182172

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