Albertson Asher J, Winkler Ethan A, Yang Andrew C, Buckwalter Marion S, Dingman Andra L, Fan Huihui, Herson Paco S, McCullough Louise D, Perez-Pinzon Miguel A, Sansing Lauren H, Sun Dandan, Alkayed Nabil J
Department of Neurology, Washington University School of Medicine, St. Louis, MO (A.J.A.).
Department of Neurological Surgery (E.A.W.), University of California San Francisco.
Stroke. 2025 Apr;56(4):1082-1091. doi: 10.1161/STROKEAHA.124.049001. Epub 2024 Dec 30.
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.
使用单细胞RNA测序生成的数据有可能改变对脑循环的理解并推动临床护理的进步。然而，有时在没有适当病理生理背景的情况下生成和呈现的大量数据可能难以解释，也难以整合到当前对脑循环及其疾病的理解中。此外，脑区和血管段表示方式的异质性使得跨研究比较结果变得困难。目前尚无组织采集和处理的标准，无法实现跨研究和分析平台的轻松比较。单细胞数据分析和呈现也没有标准。本专题综述向脑血管领域的医生和科学家介绍单细胞RNA测序，旨在突出在脑血管领域应用该技术的机遇和挑战，并讨论可通过单细胞RNA测序解决的关键概念和知识空白。
