Single-Cell Analysis in Cerebrovascular Research: Primed for Breakthroughs and Clinical Impact

Stroke. 2025 Apr;56(4):1082-1091. doi: 10.1161/STROKEAHA.124.049001. Epub 2024 Dec 30.

Abstract

Data generated using single-cell RNA-sequencing has the potential to transform understanding of the cerebral circulation and advance clinical care. However, the high volume of data, sometimes generated and presented without proper pathophysiological context, can be difficult to interpret and integrate into current understanding of the cerebral circulation and its disorders. Furthermore, heterogeneity in the representation of brain regions and vascular segments makes it difficult to compare results across studies. There are currently no standards for tissue collection and processing that allow easy comparisons across studies and analytical platforms. There are no standards either for single-cell data analysis and presentation. This topical review introduces single-cell RNA-sequencing to physicians and scientists in the cerebrovascular field, with the goals of highlighting opportunities and challenges of applying this technology in the cerebrovascular field and discussing key concepts and knowledge gaps that can be addressed by single-cell RNA-sequencing.

Keywords: brain; cerebrovascular circulation; sequence analysis, RNA; stroke.

Publication types

  • Review

MeSH terms

  • Animals
  • Biomedical Research*
  • Brain* / metabolism
  • Cerebrovascular Circulation* / physiology
  • Cerebrovascular Disorders* / genetics
  • Humans
  • Sequence Analysis, RNA / methods
  • Single-Cell Analysis* / methods