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

Identification of ITGAX and CCR1 as potential biomarkers of atherosclerosis via Gene Set Enrichment Analysis

1 Mar 2022

Abstract excerpt

Objective Atherosclerosis (AS) is a life-threatening disease in aging populations worldwide. However, the molecular and gene regulation mechanisms of AS are still unclear. This study aimed to identify gene expression differences between atheroma plaques and normal tissues in humans. Methods The expression profiling dataset GSE43292 was obtained from the Gene Expression Omnibus (GEO) dataset. The differentially...

Read the complete abstract on PubMed

Topics

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

Share to Atherosclerosis and Cardiovascular Diseases
Share to Chemokine receptors and signaling
Share to Single-cell and spatial transcriptomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 35287505
DOI: 10.1177/03000605211039480

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

Identification of ITGAX and CCR1 as potential biomarkers of atherosclerosis via Gene Set Enrichment AnalysisPMID 35287505Read ↗

Identification of biomarkers in macrophages of atherosclerosis by microarray analysisSemantic proximity Read ↗

Integrated bioinformatics and single-cell analysis identifies vascular aging-related hub genes and immune drivers in atherosclerosisSemantic proximity Read ↗

Identification of Potential Key Genes Involved in the Carotid AtherosclerosisSemantic proximity Read ↗

Identification and verification of immune-related genes for diagnosing the progression of atherosclerosis and metabolic syndrome.Semantic proximity Read ↗

Comprehensive Analysis to Identify Key Genes Involved in Advanced AtherosclerosisSemantic proximity Read ↗

Novel immune cell infiltration-related biomarkers in atherosclerosis diagnosisSemantic proximity Read ↗

Identification of immune-related biomarkers and construction of regulatory network in patients with atherosclerosisSemantic proximity Read ↗

Identification of potential diagnostic biomarkers of atherosclerosis based on bioinformatics strategySemantic proximity Read ↗

Comprehensive analysis to identify age-associated genes in atherosclerosis and explore specific mechanismsSemantic proximity Read ↗

Identification of immune infiltration-related biomarkers in carotid atherosclerotic plaquesSemantic proximity Read ↗

Identification of hub genes and regulatory networks in histologically unstable carotid atherosclerotic plaque by bioinformatics analysisSemantic proximity Read ↗

Identification of Potential Hub Genes of Atherosclerosis Through Bioinformatic Analysis.Semantic proximity Read ↗

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