Evidence map›Paper›PMID 42093724›Full record

ReviewFrontiers in cell and developmental biology2026

Insights gained from single-cell sequencing analysis of ischemic stroke.

Yanqin Mei, Teng Guan, Longsheng Fu, Jiming Kong, Yanni Lv

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yanqin Mei *Department of Pharmacy, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Teng Guan *Max Rady College of Medicine, Department of Human Anatomy and Cell Science, University of Manitoba, Winnipeg, Canada.
Longsheng Fu *Department of Pharmacy, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Jiming KongMax Rady College of Medicine, Department of Human Anatomy and Cell Science, University of Manitoba, Winnipeg, Canada.
Yanni LvDepartment of Pharmacy, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

applied applicationcell heterogeneitycell subclusterimmune responseischemic strokesingle-cell RNA sequencing

Identifiers

PMID42093724
PMCPMC13139180

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.