Article

Bioinformatics and next generation data analysis reveals the potential role of inflammation in sepsis and its associated complications

2023-08-05

Abstract excerpt

Sepsis is the leading systemic inflammatory response syndrome in worldwide, yet relatively little is known about the genes and signaling pathways involved in sepsis progression. The current investigation aimed to elucidate potential key candidate genes and pathways in sepsis and its associated complications. Next generation sequencing (NGS) dataset (GSE185263) was downloaded from the Gene Expression Omnibus (GEO)...

Topics

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

Identifiers and source

Literature Corpus work: 8794f596-1b4d-5ab3-a3d9-10e194fc0b14
DOI: 10.1101/2023.08.02.551653

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Bioinformatics and next generation data analysis reveals the potential role of inflammation in sepsis and its associated complicationsDOI 10.1101/2023.08.02.551653Read

Systematic Study to Unveil Novel Biomarkers, Regulatory Pathways and Exploring Therapeutic Targets for sepsis and associated complications Using Next Generation Sequencing Data Analysis and In Silico Drug DesignSemantic proximity Read

Screening of Sepsis Biomarkers Based on Bioinformatics Data AnalysisSemantic proximity Read

Bioinformatics Analysis for Multiple Gene Expression Profiles in SepsisSemantic proximity Read

Identification of Potential Biomarkers for Nonsurvivor Sepsis Patients via Microarray Technology: A Study Based on GEO DatasetsSemantic proximity Read

Identification and analysis of the endoplasmic reticulum stress hub genes in sepsis-associated ARDSSemantic proximity Read

Identification of hub genes and prediction of the ceRNA network in adult sepsisSemantic proximity Read

Prognostic Genes of Sepsis-induced ARDS identified by Gene Co- expression Network AnalysisSemantic proximity Read

Bioinformatic Identification of Hub Genes and Biological Pathways for Sepsis-Associated Acute Lung InjurySemantic proximity Read

Identification of Genes with Altered Methylation and Its Role in Early Diagnosis of Sepsis-Induced Acute Respiratory Distress SyndromeSemantic proximity Read

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

Identification of hub genes for adult patients with sepsis via construction of a microRNA-mRNA-PPI networkSemantic proximity Read

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