Dataset Information

Comprehensive analysis of senescence-associated genes in sepsis based on bulk and single-cell sequencing data.

ABSTRACT: Background: Sepsis is a pathological state resulting from dysregulated immune response in host during severe infection, leading to persistent organ dysfunction and ultimately death. Senescence-associated genes (SAGs) have manifested their potential in controlling the proliferation and dissemination of a variety of diseases. Nevertheless, the correlation between sepsis and SAGs remains obscure and requires further investigation. Methods: Two RNA expression datasets (GSE28750 and GSE57065) specifically related to sepsis were employed to filter hub SAGs, based on which a diagnostic model predictive of the incidence of sepsis was developed. The association between the expression of the SAGs identified and immune-related modules was analyzed employing Cell-type Identification By Estimating Relative Subsets Of RNA Transcripts (CIBERSORT) and Microenvironment Cell Populations-counter (MCP-counter) analysis. The identified genes in each cohort were clustered by unsupervised agreement clustering analysis and weighted gene correlation network analysis (WGCNA). Results: A diagnostic model for sepsis established based on hub genes (IGFBP7, GMFG, IL10, IL18, ETS2, HGF, CD55, and MMP9) exhibited a strong clinical reliability (AUC = 0.989). Sepsis patients were randomly assigned and classified by WGCNA into two clusters with distinct immune statuses. Analysis on the single-cell RNA sequencing (scRNA-seq) data revealed high scores of SAGs in the natural killer (NK) cells of the sepsis cohort than the healthy cohort. Conclusion: These findings suggested a close association between SAGs and sepsis alterations. The identified hub genes had potential to serve as a viable diagnostic marker for sepsis.

SUBMITTER: Tao L

PROVIDER: S-EPMC10801732 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

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Comprehensive analysis of senescence-associated genes in sepsis based on bulk and single-cell sequencing data.

Tao Linfeng L Zhu Yue Y Wu Lifang L Liu Jun J

Frontiers in molecular biosciences 20240108

<b>Background:</b> Sepsis is a pathological state resulting from dysregulated immune response in host during severe infection, leading to persistent organ dysfunction and ultimately death. Senescence-associated genes (SAGs) have manifested their potential in controlling the proliferation and dissemination of a variety of diseases. Nevertheless, the correlation between sepsis and SAGs remains obscure and requires further investigation. <b>Methods:</b> Two RNA expression datasets (GSE28750 and GSE ...[more]

PMID: 38259686

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Dataset Information

Comprehensive analysis of senescence-associated genes in sepsis based on bulk and single-cell sequencing data.

Publications

Comprehensive analysis of senescence-associated genes in sepsis based on bulk and single-cell sequencing data.

Similar Datasets

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