OSCR

Decoding neuron-specific lineage to identify diagnostic biomarkers and therapeutic targets for ischemic stroke.

Overview

Authors: Xiaoya Wang1,2, Qingbao Xu3, Xiaolin Wang4, Li Li4, Li Wang4, Chuan Shao5, Xiao Yang6, Xiaoqing Wang6
  1. Department of Pathology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan 637000, China
  2. Clinical Skills Training Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan 637000, China
  3. Department of Pharmacy, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan 637000, China
  4. Institute of Basic Medicine, North Sichuan Medical College, Nanchong, Sichuan 637000, China
  5. Department of Neurosurgery, Chongqing General Hospital, Chongqing University, Chongqing 400016, China
  6. College of Pharmacy, Chongqing Medical University, Chongqing 400016, China
Journal: iScience, volume 29, issue 6, article 116257
Dates: received 16 October 2025; accepted 20 May 2026; published online 4 June 2026
Type: Research article · Language: English
License: CC BY-NC
Identifiers: DOI 10.1016/j.isci.2026.116257 · PMID 42291234 · PMCID PMC13255054 · OpenAlex W7163569512
Open access: gold, a free copy (OpenAlex)
Status: code on request
Categories: genetics / omics (modality), stroke (population)
Methods: Statistics, Smoothing, state filtering, decompositions, Machine learning, Single-unit activity, calcium imaging
Keywords: molecular biology, neuroscience, cell biology
Topic: Single-cell and spatial transcriptomics (Molecular Biology, Biochemistry, Genetics and Molecular Biology), according to OpenAlex
Citations: not cited yet (Europe PMC); 50 references in the paper
Research resources: Rabbit anti-Bax RRID:AB_2061561, Mouse anti-GAPDH RRID:AB_2107436, Rabbit anti-Cherp RRID:AB_2880055, Mouse anti-Bcl2 RRID:AB_2923635

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

The paper says that its authors' code is available on request: it was not published with the paper, so there is nothing to verify.

The paper's code and data availability statement is in the Data section.

Tracing map

A tracing map links a paper to the code its authors published: this paper has none (its code is available on request), so it has no map.

Data

Datasets cited

Data and code availability

This paper analyzes existing, publicly available data, accessible at GSE174574 (https://ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE174574), GSE58294 (https://ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE58294), GSE61616 (https://ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE61616), and GSE16561 (https://ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE16561).

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

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

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://doi.org/10.1016/j.isci.2026.116257

BibTeX

@article{wang2026decoding,
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/j.isci.2026.116257},
url = {https://doi.org/10.1016/j.isci.2026.116257},
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 - 2026/06/04
VL - 29
IS - 6
SP - 116257
SN - 2589-0042
PB - Elsevier
DO - 10.1016/j.isci.2026.116257
UR - https://doi.org/10.1016/j.isci.2026.116257
LA - en
ER -

CSL-JSON

{
"id": "10.1016/j.isci.2026.116257",
"type": "article-journal",
"title": "Decoding neuron-specific lineage to identify diagnostic biomarkers and therapeutic targets for ischemic stroke",
"container-title": "iScience",
"author": [
{
"family": "Wang",
"given": "Xiaoya"
},
{
"family": "Xu",
"given": "Qingbao"
},
{
"family": "Wang",
"given": "Xiaolin"
},
{
"family": "Li",
"given": "Li"
},
{
"family": "Wang",
"given": "Li"
},
{
"family": "Shao",
"given": "Chuan"
},
{
"family": "Yang",
"given": "Xiao"
},
{
"family": "Wang",
"given": "Xiaoqing"
}
],
"container-title-short": "iScience",
"volume": "29",
"issue": "6",
"page": "116257",
"DOI": "10.1016/j.isci.2026.116257",
"PMID": "42291234",
"PMCID": "PMC13255054",
"ISSN": "2589-0042",
"publisher": "Elsevier",
"URL": "https://doi.org/10.1016/j.isci.2026.116257",
"language": "en",
"issued": {
"date-parts": [
[
2026,
6,
4
]
]
}
}

Similar papers

The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.

[1] doi:10.1097/md.0000000000048634
Identifying therapeutic target genes for stroke through systematic druggable Mendelian randomization analysis.
Journal: Medicine
In common: NCBI GEO GSE174574, stroke, genetics / omics, 1 reference
[2] doi:10.1186/s13073-026-01687-x
Infiltrating monocyte-derived macrophages does not survive long term in stroke brain despite their dominance in the acute ischemic core and myeloid derived IGF-1 play dichotomous roles in stroke recovery.
Journal: Genome medicine
In common: stroke, genetics / omics, 3 references
[3] doi:10.1007/s10565-026-10177-0
Multi-omics analysis and experimental validation reveal the IRF7-CXCL10 axis as a master regulator of microglial PCD in ischemic stroke.
Journal: Cell biology and toxicology
In common: stroke, genetics / omics, 3 references
[4] doi:10.1038/s41588-026-02737-1 [code]
Human and mouse adrenal glands are characterized by species-specific steroidogenic states and tissue turnover.
Journal: Nature genetics
In common: genetics / omics, 3 references
[5] doi:10.3389/fnins.2026.1848128
Assessment of tenecteplase target-associated pathogenic mechanisms underlying depression in acute ischemic stroke patients: insights from artificial intelligence-driven multi-omics analysis and <i>in vitro</i> validation.
Journal: Frontiers in neuroscience
In common: stroke, genetics / omics, 2 references
[6] doi:10.1038/s41467-026-73036-w [code]
Single-nucleus analysis reveals human-specific oligodendrocyte polarization and conserved neuronal responses after severe traumatic brain injury.
Journal: Nature communications
In common: genetics / omics, 2 references
[7] doi:10.1038/s41597-026-07185-4 [code]
A multi-center cross-platform single-cell multimodal atlas of the mouse cerebral cortex.
Journal: Scientific data
In common: genetics / omics, 2 references
[8] doi:10.7554/elife.106347 [code]
Esr1-dependent signaling and transcriptional maturation in the medial preoptic area of the hypothalamus shape the development of mating behavior during adolescence.
Journal: eLife
In common: genetics / omics, 2 references
[9] doi:10.1007/s12672-026-05166-y [code]
Single-cell profiling identifies a pro-tumoral VCAN positive macrophage subset and defines a prognostic signature in glioblastoma.
Journal: Discover oncology
In common: genetics / omics, 2 references
[10] doi:10.1038/s41419-026-08807-w [code]
Single-cell profiling reveals distinct populations of tumor-associated macrophages and metastatic tumor cells in breast cancer brain metastasis.
Journal: Cell death & disease
In common: genetics / omics, 2 references

Contribute

The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.

Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.

Request its removal

To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).

Discussion, reproductions, activity

Discussion: questions and error reports about this paper and its code, from signed-in readers and its authors. It opens with sign-in.

Reproductions: reports from readers who ran the authors' code: what they reproduced, with which environment, commit and data. It opens with sign-in.

Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.