Article

A Meta-Analysis of Whole Blood Transcriptome Reveals Association of Increased Neutrophil Activity and T cell Suppression in Sepsis

2023-07-10

Abstract excerpt

Sepsis is a multi-organ dysfunction due to an uncontrolled host-response to pathogens, a leading cause of mortality in (Intensive care unit) ICUs. Currently, diagnosis of sepsis is a challenging task, due to lack of specific markers. Understanding underlying mechanism associated with sepsis is essential for marker discovery. We employed meta-analysis approach to study the key genes associated with sepsis pathogene...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 6482fd5d-53ca-5811-883f-2babb233b1d1
DOI: 10.21203/rs.3.rs-3138001/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A Meta-Analysis of Whole Blood Transcriptome Reveals Association of Increased Neutrophil Activity and T cell Suppression in SepsisDOI 10.21203/rs.3.rs-3138001/v1Read

Analysis of novel biomarkers and immune cell alterations in sepsis based on single-cell sequencing and machine learning algorithmsSemantic proximity Read

Transcriptome Meta-Analysis Deciphers a Dysregulation in Immune Response-Associated Gene Signatures during SepsisSemantic proximity Read

Bioinformatics-based screening of sepsis biomarkersSemantic proximity Read

exploring the molecular mechanism of sepsis comprehensively based on multi-omics analysisSemantic proximity Read

Construction of gene network database, and identification of key genes for diagnosis, prognosis, and treatment in sepsisSemantic proximity Read

Integrated Single Cell and Bulk RNA-Seq Analysis Revealed Immunomodulatory Effects of Ulinastatin in Sepsis: A Multicenter Cohort StudySemantic proximity Read

Identification of Hub Genes and Key Pathways Associated with Sepsis Progression Using Weighted Gene Co-Expression Network Analysis and Machine LearningSemantic proximity Read

Identification of qualitative characteristics of immunosuppression in sepsis based on immune-related genes and immune infiltration featuresSemantic proximity Read

Sepsis Is a Syndrome with Hyperactivity of TH17 Immunity with Treg Cell Over-PresentationSemantic proximity Read

Bioinformatics Analysis for Multiple Gene Expression Profiles in SepsisSemantic proximity Read

Comprehensive Analysis of Molecular Subtypes and Hub Genes of Sepsis by Gene Expression ProfilesSemantic proximity Read

Identification of Potential Biomarkers and Immune Features of Sepsis Using Bioinformatics AnalysisSemantic proximity Read