Identification of key biomarkers in ischemic stroke: single-cell sequencing and weighted co-expression network analysis.

ABSTRACT:

Purpose

At present, there is a lack of accurate early diagnostic markers for ischemic stroke.

Methods

By using dimensionality reduction cluster analysis, differential expression analysis, weighted co-expression network analysis, protein-protein interaction network analysis, cell heterogeneity and key pathogenic genes were identified in ischemic stroke. Immunomicroenvironment analysis was used to explore the immune landscape and immune associations of key genes in ischemic stroke. The analysis platform we use is R software (version 4.0.5). PCR experiments were used to verify the expression of key genes.

Results

Single cell sequencing data in ischemic stroke can be annotated as fibroblast cells, pre-B cell CD34, neutrophils cells, bone marrow (BM), keratinocytes, macrop

SUBMITTER: Tao J 

PROVIDER: S-EPMC10373980 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature