Evidence map›Paper›PMID 38802460›Full record

ArticleScientific reports2024

Identification of related-genes of T cells in lung tissue of chronic obstructive pulmonary disease based on bioinformatics and experimental validation.

Ting Xue, Fei Dong, Jinglin Gao, Xiaoning Zhong

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

3 citing papers in PubMed.

  1. Article
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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.

Ting XueDepartment of Resipiratory Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China.
Fei DongDepartment of Resipiratory Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China.
Jinglin GaoDepartment of Rheumatism and Immunology, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China.
Xiaoning ZhongDepartment of Resipiratory Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China. xnzhong101@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T cells are one of the main cell types shaping the immune microenvironment in chronic obstructive pulmonary disease (COPD). They persist andplay cytotoxic roles. The purpose of this study aimed to explore the potential related-genes of T cells in lung tissue of COPD. Chip data GSE38974 and single_celldata GSE196638 were downloaded from the GEO database. Difference analyses and WGCNA of GSE38974 were performed to identify DEGs and the modules most associated with the COPD phenotype. Various cell subsets were obtained by GSE196638, and DEGs of T cells were further identified. GO, GSEA and KEGG enrichment analyses were conducted to explore the biological functions and regulatory signaling pathways of the DEGs and DEGs of T cells. The intersection of the DEGs, module genes and DEGs of T cells was assessed to acquire related-genes of T cells. The mRNA and protein expression levels of related-genes ofT cells were verified in lung tissue of mouse with emphysema model. Based on GSE38974 difference analysis, 3811 DEGs were obtained. The results of WGCNA showed that the red module had the highest correlation coefficient with the COPD phenotype. GSE196638 analysis identified 124 DEGs of T cells. The GO, GSEAand KEGG enrichment analyses mainly identified genes involved in I-kappaB kinase/NF-kappaB signaling, receptor signaling pathway via STAT, regulationof CD4-positive cells, regulation of T-helper cell differentiation, chemokine signaling pathway, Toll-likereceptor signaling pathway, CD8-positive cells, alpha-beta T cell differentiation, MAPK signaling pathway and Th17 cell differentiation. The DEGs, genes of the red module and DEGs of T cells were overlapped to acquire FOXO1 and DDX17. The results of RT-qPCR and Western Blot indicate that the mRNA and protein expression levels of FOXO1 and DDX17 in lung tissue of emphysema mice were significantly higher compared with those in air-exposed mice. FOXO1 as well as DDX17 may be related-genesof T cells in lung tissue of patient with COPD, and their participation in the biological processes of different signaling pathways may inspire further COPD research.

Indexed as

Computational BiologyLungPulmonary Disease, Chronic ObstructiveAnimalsDatabases, GeneticDisease Models, AnimalGene Expression ProfilingGene Regulatory NetworksHumansMiceSignal TransductionT-LymphocytesBioinformaticsCOPDImmune microenvironmentT cells

Identifiers

PMID38802460
PMCPMC11130218

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