ReviewFrontiers in cell and developmental biology2026
Insights gained from single-cell sequencing analysis of ischemic stroke.
Review in Frontiers in cell and developmental biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ischemic stroke represents a significant global health hazard, causing substantial morbidity, mortality, and long-term disability worldwide. The brain's complexity necessitates targeting ischemic stroke dysfunction syndrome. Single-cell RNA sequencing (scRNA-seq) offers unbiased, high-resolution analysis of cell heterogeneity, revealing cellular markers and types. Limited therapeutic options and drug discovery hinder stroke treatment, but scRNA-seq provides insights into new targets and biomarkers. Since 2019, over 50 studies on scRNA-seq in ischemic stroke have been published. This review summarizes ischemic stroke research based on scRNA-seq technology, detailing stroke features from various perspectives. We tabulated 22 brain and 7 blood cell types post-stroke. 13 cell types that frequently reported in ischemic stroke and undergone extensive heterogeneity studies were summarized. A summary was given of investigations into subcluster categorization, function-related subclusters, and newly discovered subclusters from scRNA-seq. Immune cell or non-immune cellular interactions and their regulatory influences were also explored. Additionally, the review covered age-related issues, advantages and disadvantages, technological innovations, and scope in ischemic stroke. Despite the moniker "single-cell," the analysis transcends individual entities, acknowledging the systemic variability of cellular types. Single-cell sequencing technologies, by their nature, interrogate entire tissues, distilling information from thousands of cells into a comprehensive average. Looking ahead, there is anticipation for broader scRNA-seq application in ischemic stroke research, promising deeper understanding of cellular complexities.
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