Integrative analysis of single-cell and bulk RNA sequencing unveils the senescence landscape in ischemic stroke

Aging (Albany NY). 2023 Jun 28;15(12):5497-5513. doi: 10.18632/aging.204804. Epub 2023 Jun 28.

Abstract

Ischemic stroke (IS) is a fatal neurological disease that occurs when the blood flow to the brain is disrupted, leading to brain tissue damage and functional impairment. Cellular senescence, a vital characteristic of aging, is associated with a poor prognosis for IS. This study explores the potential role of cellular senescence in the pathological process following IS by analyzing transcriptome data from multiple datasets (GSE163654, GSE16561, GSE119121, and GSE174574). By using bioinformatics methods, we identified hub-senescence-related genes such as ANGPTL4, CCL3, CCL7, CXCL16, and TNF and verified them using quantitative reverse transcription polymerase chain reaction. Further analysis of single-cell RNA sequencing data suggests that MG4 microglial is highly correlated with cellular senescence in MCAO, and might play a crucial role in the pathological process after IS. Additionally, we identified retinoic acid as a potential drug for improving the prognosis of IS. This comprehensive investigation of cellular senescence in various brain tissues and peripheral blood cell types provides valuable insights into the underlying mechanisms of the pathology of IS and identifies potential therapeutic targets for improving patient outcomes.

Keywords: aging; bioinformatics; cellular senescence; ischemic stroke; single-cell RNA-seq.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aging / genetics
  • Brain / metabolism
  • Cellular Senescence / genetics
  • Humans
  • Ischemic Stroke* / pathology
  • Sequence Analysis, RNA
  • Transcriptome