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Dataset Information

Identification of key regulatory genes and their working mechanisms in type 1 diabetes.


ABSTRACT:

Background

Type 1 diabetes (T1D) is an autoimmune disease characterized by the destruction of beta cells in pancreatic islets. Identification of the key genes involved in T1D progression and their mechanisms of action may contribute to a better understanding of T1D.

Methods

The microarray profile of T1D-related gene expression was searched using the Gene Expression Omnibus (GEO) database. Then, the expression data of two messenger RNAs (mRNAs) were integrated for Weighted Gene Co-Expression Network Analysis (WGCNA) to generate candidate genes related to T1D. In parallel, T1D microRNA (miRNA) data were analyzed to screen for possible regulatory miRNAs and their target genes. An miRNA-mRNA regulatory network was then established to predict the key regulatory genes and their me

SUBMITTER: Li H 

PROVIDER: S-EPMC9843847 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature