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Dataset Information

Use of bioinformatic analyses in identifying characteristic genes and mechanisms active in the progression of idiopathic thrombocytopenic purpura in individuals with different phenotypes.


ABSTRACT:

Objective

To explore the mechanism underlying the progression of newly diagnosed idiopathic thrombocytopenic purpura (ITP) to its chronic or remission state using bioinformatic methods.

Methods

GSE56232 and GSE46922 gene expression profile datasets were downloaded from Gene Expression Omnibus (GEO). Differentially expressed genes were identified and characteristic genes were screened by weighted gene co-expression network analysis. These genes were used for function enrichment analysis and construction of a protein-protein interaction network. Finally, characteristic genes were verified to determine potential molecular mechanisms underlying ITP progression.

Results

We found that characteristic genes in the chronic ITP group were mainly involved in intracellular proces

SUBMITTER: Zhang M 

PROVIDER: S-EPMC7689594 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature