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Dataset Information

Identification of key genes related to immune cells in patients with gram-negative sepsis based on weighted gene co-expression network analysis.


ABSTRACT:

Background

Gram-negative sepsis is closely related to the immune response, involving collaborative efforts of different immune cells. However, the mechanisms underlying immune cell regulation in gram-negative sepsis remain unclear. Therefore, this study investigated the potential regulatory mechanisms and identified the key genes related to immune cells in gram-negative sepsis.

Methods

The RNA-sequencing data for gram-negative sepsis samples and normal samples were collected from the Gene Expression Omnibus (GEO) dataset GSE9960. CIBERSORT was performed to analyze the proportion of 22 types of immune cells in gram-negative sepsis and normal samples. Weighted gene co-expression network analysis (WGCNA) was used to determine the networks that are associated with the differenti

SUBMITTER: Zhu D 

PROVIDER: S-EPMC9372694 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature