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

Uncovering potential novel biomarkers and immune infiltration characteristics in persistent atrial fibrillation using integrated bioinformatics analysis

1 Jan 2021

Abstract excerpt

Atrial fibrillation (AF) is the most common cardiac arrhythmia. This study aimed to identify potential novel biomarkers for persistent AF (pAF) using integrated analyses and explore the immune cell infiltration in this pathological process. Three pAF datasets (GSE31821, GSE41177, and GSE79768) from the Gene Expression Omnibus (GEO) database were integrated with the elimination of batch effects. 264 differentially...

Read the complete abstract on PubMed

Topics

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

Share to Cardiac Fibrosis and Remodeling
Share to Galectins and Cancer Biology
Share to Signaling Pathways in Disease

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 34198460
DOI: 10.3934/mbe.2021238

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Uncovering potential novel biomarkers and immune infiltration characteristics in persistent atrial fibrillation using integrated bioinformatics analysisPMID 34198460Read ↗

Bioinformatics analysis of immune-associated, chromatin-regulating genes as biomarkers of persistent atrial fibrillationSemantic proximity Read ↗

Identification of key immune-related genes and immune infiltration in atrial fibrillation with valvular heart disease based on bioinformatics analysisSemantic proximity Read ↗

Characteristics of immune clusters and cell abundance in patients with different subtypes of nonparoxysmal atrial fibrillation.Semantic proximity Read ↗

Identification of key differentially expressed immune related genes in patients with persistent atrial fibrillation: an integrated bioinformation analysis.Semantic proximity Read ↗

A bioinformatics-based analysis of chromatin regulators in atrial fibrillation uncovers potential novel biomarkers and immune infiltration characteristicsSemantic proximity Read ↗

Identification of potential novel biomarkers and therapeutic targets involved in human atrial fibrillation based on bioinformatics analysisSemantic proximity Read ↗

Potential Target Genes in the Development of Atrial Fibrillation: A Comprehensive Bioinformatics AnalysisSemantic proximity Read ↗

Role of Necroptosis and Immune Infiltration in Atrial Fibrillation: Novel Insights Revealed by Integrated Computational Biology AnalysesSemantic proximity Read ↗

Combining bioinformatics and machine learning to identify common mechanisms and biomarkers of chronic obstructive pulmonary disease and atrial fibrillationSemantic proximity Read ↗

Analysis of Potential Genetic Biomarkers Using Machine Learning Methods and Immune Infiltration Regulatory Mechanisms Underlying Atrial Fibrillation Running Title: Identification of Biomarkers for Af via Machine LearningSemantic proximity Read ↗

Identification of potential core genes in atrial fibrillation based on bioinformatics analysisSemantic proximity Read ↗

A comprehensive analysis of the co-pathogenesis of atrial fibrillation and atherosclerosis based on bioinformaticsSemantic proximity Read ↗

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