Evidence map›Paper›PMID 39896108›Full record

ArticleBiochemistry and biophysics reports2025

Single-cell RNA sequencing provides new insights into the interaction between astrocytes and neurons after spinal cord injury in mice.

Zhi Tang, Hengyang Lu, Xiao Yang, Mao Wu, Junfeng Yang, Shaoshuo Li, Heng Liu, Junkang Zhou, Bin Tang, Xinyao Du and 3 more

Abstract read
In one paragraph

Article in Biochemistry and biophysics reports, 2025. 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. Transcriptomics Insights into Spinal Cord Injury for Therapy Development.International journal of molecular sciences · 2026
    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

13 authors.

Zhi TangNanjing University of Traditional Chinese Medicine, Nanjing, China.
Hengyang LuSchool of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China.
Xiao YangWuxi School of Medicine, Jiangnan University, Wuxi, China.
Mao WuDepartment of Orthopaedics and Traumatology, Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine, Wuxi, China.
Junfeng YangDepartment of Orthopaedics and Traumatology, Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine, Wuxi, China.
Shaoshuo LiDepartment of Orthopaedics and Traumatology, Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine, Wuxi, China.
Heng LiuWuxi City Binhu Traditional Chinese Medicine Hospital, China.
Junkang ZhouSchool of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China.
Bin TangSchool of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China.
Xinyao DuWuxi School of Medicine, Jiangnan University, Wuxi, China.
Fei XuWuxi School of Medicine, Jiangnan University, Wuxi, China.
Yang ShaoDepartment of Orthopaedics and Traumatology, Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine, Wuxi, China.
Jianwei WangDepartment of Orthopaedics and Traumatology, Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine, Wuxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Spinal cord injury (SCI) is a devastating neurological disease in which astrocytes play a central role. Understanding the relationship between different subtypes of astrocytes and neuron subtypes during the progression of SCI is critical to understanding the disease. Methods and results: In this study, single-cell RNA sequencing (scRNA-seq) was used to analyze the transcriptome data of acute, subacute and intermediate stages of SCI in mice as well as normal tissues. Different subtypes of astrocytes and neuronal cells were identified and their dynamic changes and functionalities during the development of SCI. An intriguing discovery was the identification of a specific subtype of astrocytes characterized by unique expression of Gap43, Vim, Aldoc, and Mt1. This subtype of cells shows similarities in gene expression with neurons and potentially transitioned into neurons during the course of SCI. Furthermore, we have uncovered the important role of the glycolytic pathway in this cellular transformation process. Furthermore, through cellular interaction analysis, we validated pathways (mdk-ptprz1,ptn-ptprz1,ptn-sdc3) associated with the potential conversion of these specific cell subsets into neurons. Finally, these cells were observed by fluorescence microscopy and critical gene expressions were validated by Western blot. Conclusions: The results of this study not only deepen our understanding of the mechanisms underlying SCI, but also provide new insights and opportunities for the development of novel therapeutic strategies and interventions.

Indexed as

AstrocytesCell reprogrammingGlycolysisscRNA-seqSpinal cord injury

Identifiers

PMID39896108
PMCPMC11787598

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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.