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Dataset Information

Identifying the pattern of immune related cells and genes in the peripheral blood of ischemic stroke.


ABSTRACT:

Background

Ischemic stroke (IS) is the second leading cause of death worldwide which is a serious hazard to human health. Evidence suggests that the immune system plays a key role in the pathophysiology of IS. However, the precisely immune related mechanisms were still not been systematically understood.

Methods

In this study, we aim to identify the immune related modules and genes that might play vital role in the occurrence and development of IS by using the weighted gene co-expression network analysis (WGCNA). Meanwhile, we applied a kind of deconvolution algorithm to reveal the proportions of 22 subsets of immune cells in the blood samples.

Results

There were total 128 IS patients and 67 healthy control samples in the three Gene Expression Omnibus (GEO) datasets.

SUBMITTER: Li Z 

PROVIDER: S-EPMC7398186 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature