Evidence map›Paper›PMID 40417312›Full record

ArticleOpen medicine (Warsaw, Poland)2025

Single-cell transcriptomic analysis identifies a stress response Schwann cell subtype.

Xianfeng Lan, Yanmei Zheng, Yongliang You, Xuejun Wu, Shaojie Wu, Nengfu Chen, Lihong Wang, Wenfu Yang

Abstract read
In one paragraph

Article in Open medicine (Warsaw, Poland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

8 authors.

Xianfeng LanDepartment of Orthopaedics, Fuzhou Second General Hospital, Fuzhou, 350007, China.
Yanmei ZhengDepartment of Orthopaedics, Fuzhou Second General Hospital, Fuzhou, 350007, China.
Yongliang YouDepartment of Orthopaedics, Fuzhou Second General Hospital, Fuzhou, 350007, China.
Xuejun WuDepartment of Orthopaedics, Fuzhou Second General Hospital, Fuzhou, 350007, China.
Shaojie WuDepartment of Orthopaedics, Fuzhou Second General Hospital, Fuzhou, 350007, China.
Nengfu ChenDepartment of Orthopaedics, Fuzhou Second General Hospital, Fuzhou, 350007, China.
Lihong WangDepartment of Orthopaedics, Fuzhou Second General Hospital, Fuzhou, 350007, China.
Wenfu YangDepartment of Orthopaedics, Fuzhou Second General Hospital, Fuzhou, 350007, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Peripheral nerve injury can lead to sensory, motor, and autonomic nerve dysfunction, significantly impacting patients' quality of life. Schwann cells (SCs), as key components of the peripheral nervous system, play a crucial role in nerve repair. However, many functionally specialized and flexible SC subtypes remain unidentified. Recent advancements in single-cell transcriptomics have enabled a deeper understanding of SC heterogeneity during peripheral nervous system development. Methods: In this study, we utilized single-cell transcriptomics to investigate SC heterogeneity in the dorsal root ganglia of both normal and spinal nerve injury mouse models. Results: We identified a novel SC subtype associated with pressure sensation, which we termed stress response related SCs (SRSCs). These cells are terminally differentiated and highly express the pressure-sensing gene Conclusion: Our findings enhance the understanding of SC heterogeneity and reveal SRSCs as key players in nerve repair. These insights provide potential targets for developing novel therapeutic strategies for peripheral nerve diseases.

Indexed as

developmental trajectoryingle-cell RNA sequencingperipheral nerve injurySchwann cellstress response

Identifiers

PMID40417312
PMCPMC12103108

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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.