Investigating the ID3/SLC22A4 as immune-related signatures in ischemic stroke.

ABSTRACT:

Background

Ischemic stroke (IS) is a fearful disease that can cause a variety of immune events. Nevertheless, precise immune-related mechanisms have yet to be systematically elucidated. This study aimed to identify immune-related signatures using machine learning and to validate them with animal experiments and single cell analysis.

Methods

In this study, we screened 24 differentially expressed genes (DEGs) while identifying immune-related signatures that may play a key role in IS development through a comprehensive strategy between least absolute shrinkage and selection operation (LASSO) regression, support vector machine (SVM) and immune-related genes. In addition, we explored immune infiltration using the CIBERSORT algorithm. Finally, we performed validation in mouse brai

SUBMITTER: Lu D 

PROVIDER: S-EPMC10781493 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature