Evidence map›Paper›PMID 42106542›Full record

ArticleScientific reports2026

Integrative analysis of single-cell and transcriptomic data with RT-qPCR validation explores TRPM4-associated gene signatures in osteoarthritis synovium.

Yunxiu Chen, Daxin Guo, Jiawang Zhu, Zhiqiang Wang

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yunxiu Chen *Department of Orthopedic Surgery, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei, China.ORCID http://orcid.org/0009-0001-3953-614X
Daxin Guo *Department of Sports Medicine and Arthroscopy, Tianjin Hospital of Tianjin University, Tianjin, China.ORCID http://orcid.org/0009-0005-0254-2895
Jiawang ZhuDepartment of Sports Medicine and Arthroscopy, Tianjin Hospital of Tianjin University, Tianjin, China.
Zhiqiang WangDepartment of Orthopedic Surgery, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei, China. cyx2023gk@163.com.

Funding

Natural Science Foundation of Hebei Province 23JCQNJC01530Tianjin Natural Science Foundation 21JCZXJC00030
6 · The paper itself

Abstract

Osteoarthritis (OA) is a chronic, disabling condition whose pathogenesis remains unclear. TRPM4 is closely associated with OA, but its specific roles and regulatory networks within different cell subsets remain to be elucidated. This study integrates single-cell and transcriptomic sequencing data to systematically analyse the cell-specific expression patterns, key downstream molecules, and regulatory networks of TRPM4, with the aim of identifying new therapeutic targets for OA. OA-related datasets were obtained from public databases. Key cells were identified at the single-cell level, and analyses including enriched pathways and cell communication were conducted. Candidate genes were screened by cross-referencing differentially expressed genes (DEGs), key module genes from high-dimensional weighted gene co-expression network analysis (hdWGCNA) analysis related to key cells, and TRPM4-related DEGs. We then employed machine learning algorithms and expression levels to screen key genes. Subsequently, analyses such as functional enrichment, immune infiltration analysis, construction of molecular regulatory networks, and reverse transcription quantitative polymerase chain reaction (RT-qPCR) were executed. Human Leukocyte Antigen-DR Alpha Chain (HLA-DRA) cells were the key cells, and the enriched pathways they participated in mainly included "FMO oxidizes nucleophiles", and frequent cell-cell interactions were observed between HLA-DRA cells and synovial subintimal fibroblasts (SSF) in OA. Later, 2 key genes (FOSL2 and S100A11) were obtained. S100A11 was up-regulated, while FOSL2 was down-regulated in the OA group, and RT-qPCR showed consistent results (p < 0.05). In addition, FOSL2 and S100A11 shared 14 enriched pathways, such as the p53 pathway and oxidative phosphorylation, and there were infiltration differences of 8 types of immune cells between OA and control samples (p < 0.05). The miRNA-mRNA network (e.g., has-miR-6134-S100A11) was constructed. This study suggested that TRPM4-associated HLA-DRA

Indexed as

OsteoarthritisSynovial MembraneTranscriptomeTRPM Cation ChannelsGene Expression ProfilingGene Regulatory NetworksHumansSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisTRPM4 protein, humanTRPM Cation ChannelsKey genesOsteoarthritisSingle-cell sequencing analysisTRPM4

Identifiers

PMID42106542
PMCPMC13346577

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.