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 a novel disulfidptosis-related gene signature in osteoarthritis using bioinformatics analysis and experimental validation

8 Jan 2025

Abstract excerpt

Osteoarthritis (OA) is a degenerative bone disease characterized by the destruction of joint cartilage and synovial inflammation, involving intricate immune regulation processes. Disulfidptosis, a novel form of programmed cell death, has recently been identified; however, the effects and roles of disulfidptosis-related genes (DR-DEGs) in OA remain unclear. We obtained six OA datasets from the GEO database, using...

Read the complete abstract on PubMed

Topics

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

Share to Cancer-related molecular mechanisms research
Share to MicroRNA in disease regulation
Share to Osteoarthritis Treatment and Mechanisms

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 39779817
DOI: 10.1038/s41598-025-85569-z

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of a novel disulfidptosis-related gene signature in osteoarthritis using bioinformatics analysis and experimental validationPMID 39779817Read ↗

Bioinformatics Identification and Experimental Verification of Disulfidptosis-Related Genes in the Progression of OsteoarthritisSemantic proximity Read ↗

Machine learning identifies ferroptosis-related genes as potential diagnostic biomarkers for osteoarthritisSemantic proximity Read ↗

Identifying Feature Biomarkers Related to Disulfidptosis and Immune Cell Infiltration in Osteoarthritis through Bioinformatics AnalysisSemantic proximity Read ↗

Identification of Biomarkers for m6A-Mediated Programmed Cell Death in Osteoarthritis Transcripts with Experimental Validation.Semantic proximity Read ↗

Identification of osteoarthritis-characteristic genes and immunological micro-environment features by bioinformatics and machine learningSemantic proximity Read ↗

Machine learning-based identification of ferroptosis-related biomarkers in osteoarthritisSemantic proximity Read ↗

Integrating multiple microarray datasets to explore the significance of ferroptosis regulators in the diagnosis and subtype classification of osteoarthritisSemantic proximity Read ↗

Consensus cluster analysis of apoptosis-related genes in patients with osteoarthritis and their correlation with immune cell infiltrationSemantic proximity Read ↗

Identification of osteoarthritis-characteristic genes and immunological micro-environment features through bioinformatics and machine learning-based approachesSemantic proximity Read ↗

Identification and validation of disulfidptosis-related signature to evaluate clinical outcomes, immune infiltration and drug sensitivity in osteosarcomaSemantic proximity Read ↗

Identifying characteristic genes of ferroptosis in osteoarthritis based on machine learning and analysis of immune infiltrationSemantic proximity Read ↗

Identification of pyroptosis-related diagnostic model relate to immune infiltration in osteoarthritisSemantic proximity Read ↗

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