Unknown

Dataset Information

Exploring the molecular mechanisms of subarachnoid hemorrhage and potential therapeutic targets: insights from bioinformatics and drug prediction.


ABSTRACT: Subarachnoid hemorrhage (SAH) is a fatal pathological condition in the central nervous system (CNS), characterized by severe clinical consequences. Its treatment remains a significant challenge, especially due to the incomplete understanding of its molecular mechanisms. In this study, we integrated comprehensive bioinformatics analyses with experimental validation to explore the potential pathogenic mechanisms and immune cell infiltration characteristics of SAH, aiming to identify novel diagnostic biomarkers and therapeutic targets. We selected relevant gene expression data from the gene expression omnibus (GEO) database and obtained a gene set associated with SAH from the GeneCards database. Through bioinformatics analysis, we constructed a protein-protein interaction (PPI) network and pe

SUBMITTER: Liu Y 

PROVIDER: S-EPMC11997208 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature