Exploration of potential therapeutic targets for stroke based on the GEO database.

ABSTRACT:

Background

This study aimed to analyze non-coding RNA sequencing results, screen differentially expressed long non-coding RNAs (lncRNAs), and predict lncRNA target genes. It further clarifies the potential functions of lncRNAs, thus exploring potential biomarkers and therapeutic targets for stroke.

Methods

LncRNA sequencing data of blood samples from stroke patients and healthy subjects (GSE102541 and GSE140275) were downloaded from the Gene Expression Omnibus (GEO) database. This study used R software and related R packages to conduct a batch correction and differential analysis of sequencing results. It also screened differentially expressed lncRNAs and visualized the correlations between significantly different lncRNAs. Target genes of differential lncRNAs w

SUBMITTER: Ma LZ 

PROVIDER: S-EPMC8756255 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature