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 potential biomarkers in cardiovascular calcification based on bioinformatics combined with single-cell RNA-seq and multiple machine learning analysis

28 Feb 2025

Abstract excerpt

The molecular and genetic mechanisms underlying vascular calcification remain unclear. This study aimed to determine the differences in calcification marker-related gene expression in macrophages. The expression profiling datasets GSE104140 and GSE235995 were analysed to identify differentially expressed genes (DEGs) between fibroatheroma with calcification and diffuse intimal thickening. Gene Ontology (GO),...

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 Ferroptosis and cancer prognosis
Share to Galectins and Cancer Biology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 40024421
DOI: 10.1016/j.cellsig.2025.111705

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

Identification of potential biomarkers in cardiovascular calcification based on bioinformatics combined with single-cell RNA-seq and multiple machine learning analysisPMID 40024421Read ↗

Identification of Immune-Associated Genes in Diagnosing Aortic Valve Calcification With Metabolic Syndrome by Integrated Bioinformatics Analysis and Machine LearningSemantic proximity Read ↗

Multi-ancestry genome-wide study identifies effector genes and druggable pathways for coronary artery calcificationSemantic proximity Read ↗

Integrated Multiomics Reveals Key Drivers and Immune Cell Phenotypes of Infrapopliteal Atherosclerosis and Calcification.Semantic proximity Read ↗

Multi-ancestry genome-wide analysis identifies effector genes and druggable pathways for coronary artery calcificationSemantic proximity Read ↗

The Epigenetic Landscape of Vascular Calcification: An Integrative PerspectiveSemantic proximity Read ↗

Inflammatory, metabolic, and genetic mechanisms of vascular calcification.Semantic proximity Read ↗

Cardiac Calcifications: Phenotypes, Mechanisms, Clinical and Prognostic ImplicationsSemantic proximity Read ↗

A Novel FNDC1-NAMPT-NAD axis is Implicated in Small and Large-vessel Arterial Disease and Drives Vascular CalcificationSemantic proximity Read ↗

Screening for candidate genes and cell populations associated with atherosclerotic calcification using single-cell RNA sequencingSemantic proximity Read ↗

Calcification of abdominal aorta is an underappreciated cardiovascular disease risk factorSemantic proximity Read ↗

Genetic and Epigenetic Regulation of Inflammatory Genes Drives Calcific Aortic Valve Disease (CAVD)Semantic proximity Read ↗

Identification of a peripheral blood gene signature predicting aortic valve calcificationSemantic proximity Read ↗

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