Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Unraveling the role of histone acetylation in sepsis biomarker discovery

30 Apr 2025

Abstract excerpt

Introduction Sepsis is a life-threatening condition caused by a dysregulated immune response to infection. Despite advances in clinical care, effective biomarkers for early diagnosis and prognosis remain lacking. Emerging evidence suggests that histone acetylation plays a crucial role in the pathophysiology of sepsis. Methods Transcriptomic and single-cell RNA sequencing data were used to identify histone...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Immune Response and Inflammation
Share to Inflammation biomarkers and pathways
Share to Sepsis Diagnosis and Treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 40370519
DOI: 10.3389/fmolb.2025.1582181

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Unraveling the role of histone acetylation in sepsis biomarker discoveryPMID 40370519Read ↗

Integration of Transcriptomic and Single-Cell Data to Uncover Senescence- and Ferroptosis-Associated Biomarkers in SepsisSemantic proximity Read ↗

Identifying Six Chromatin Remodeling-related Genes As Diagnostic Biomarkers in Sepsis Using Bioinformatic AnalysesSemantic proximity Read ↗

Identification and validation of m6A RNA methylation and ferroptosis-related biomarkers in sepsis: transcriptome combined with single-cell RNA sequencingSemantic proximity Read ↗

Identification and validation of potential genes for the diagnosis of sepsis by bioinformatics and 2-sample Mendelian randomization studySemantic proximity Read ↗

Bulk RNA Sequencing With Integrated Single-Cell RNA Sequencing Identifies BCL2A1 as a Potential Diagnostic and Prognostic Biomarker for SepsisSemantic 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 ↗

Screening of key genes for m6A modification differences in childhood sepsisSemantic proximity Read ↗

Identification of Immune-Related Key Genes as Potential Diagnostic Biomarkers of Sepsis in ChildrenSemantic proximity Read ↗

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

Integrated analysis of single-cell RNA-seq and chipset data unravels PANoptosis-related genes in sepsisSemantic proximity Read ↗

Therapeutic Targets for Sepsis: Multicenter Proteome-Wide Analyses and Experimental ValidationSemantic proximity Read ↗

Advancing Sepsis Diagnosis and Immunotherapy Machine Learning-Driven Identification of Stable Molecular Biomarkers and Therapeutic TargetsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.