Decoding neuron-specific lineage to identify diagnostic biomarkers and therapeutic targets for ischemic stroke.
Overview
- Department of Pathology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan 637000, China
- Clinical Skills Training Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan 637000, China
- Department of Pharmacy, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan 637000, China
- Institute of Basic Medicine, North Sichuan Medical College, Nanchong, Sichuan 637000, China
- Department of Neurosurgery, Chongqing General Hospital, Chongqing University, Chongqing 400016, China
- College of Pharmacy, Chongqing Medical University, Chongqing 400016, China
Abstract
Ischemic stroke (IS) imposes a major global health burden. To uncover new diagnostic and therapeutic targets, we profiled neuronal heterogeneity during IS using single-cell RNA sequencing. Our analysis decoded neuronal lineage trajectories, identified a critical cell-cell communication network, and pinpointed key gene modules. By integrating multiple machine learning algorithms, we constructed a highly accurate diagnostic model based on the hub genes Il18 and Cherp. This model was rigorously validated across multi-omics datasets and species. We further confirmed that Cherp promotes neuronal repair by regulating calcium homeostasis, while Il18 serves as a potential early blood biomarker. This work provides effective targets and translatable tools for advancing IS precision medicine.
Reproduced under the paper's license (CC BY-NC), from the paper cited above.
Code
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The paper's code and data availability statement is in the Data section.
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Data
Datasets cited
- geo:GSE174574, at NCBI GEO; found in “Data and code availability”
Data and code availability
This paper analyzes existing, publicly available data, accessible at GSE174574 (https://
This paper does not report original code.
Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.
Reproduced under the paper's license (CC BY-NC), from the paper cited above.
Versions
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Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 8 authors, 3 keywords, 50 references, 4 RRIDs.
Cite
This paper
Wang, X., Xu, Q., Wang, X., Li, L., Wang, L., Shao, C., Yang, X., & Wang, X. (2026). Decoding neuron-specific lineage to identify diagnostic biomarkers and therapeutic targets for ischemic stroke. iScience, 29(6), 116257. https://
BibTeX
@article{wang2026decodin
author = {Wang, Xiaoya and Xu, Qingbao and Wang, Xiaolin and Li, Li and Wang, Li and Shao, Chuan and Yang, Xiao and Wang, Xiaoqing},
title = {{Decoding neuron-specific lineage to identify diagnostic biomarkers and therapeutic targets for ischemic stroke}},
journal = {iScience},
year = {2026},
month = jun,
volume = {29},
number = {6},
pages = {116257},
publisher = {Elsevier},
issn = {2589-0042},
doi = {10.1016/
url = {https://
pmid = {42291234},
pmcid = {PMC13255054}
}
RIS
TY - JOUR
AU - Wang, Xiaoya
AU - Xu, Qingbao
AU - Wang, Xiaolin
AU - Li, Li
AU - Wang, Li
AU - Shao, Chuan
AU - Yang, Xiao
AU - Wang, Xiaoqing
TI - Decoding neuron-specific lineage to identify diagnostic biomarkers and therapeutic targets for ischemic stroke
T2 - iScience
J2 - iScience
PY - 2026
DA - 2026/
VL - 29
IS - 6
SP - 116257
SN - 2589-0042
PB - Elsevier
DO - 10.1016/
UR - https://
LA - en
ER -
CSL-JSON
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