Back to search

Article

Multi-omics integration at cell type resolution uncovers gene-metabolite mechanisms underlying osteoarthritis heterogeneity

2025-09-29

Abstract excerpt

<h4>ABSTRACT</h4> Metabolic dysregulation is an important factor for osteoarthritis pathogenesis, but comprehensive studies of underlying mechanisms and pathways are rare. We analyzed newly generated metabolomics data on bone marrow from 119 osteoarthritis patients, along with single-cell transcriptomics data to reconstruct networks of gene-metabolite associations at cell type resolution. Hubs of these networks –...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
4eb2aeee-02df-5cd6-89d6-969fc5a6810c
DOI
10.1101/2025.09.26.678886
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Multi-omics integration at cell type resolution uncovers gene-metabolite mechanisms underlying osteoarthritis heterogeneityDOI 10.1101/2025.09.26.678886
Three decades of advancements in osteoarthritis research: insights from transcriptomic, proteomic, and metabolomic studiesSemantic proximity
Understanding osteoarthritis pathogenesis: a multiomics system-based approachSemantic proximity
Characterization of osteoarthritis phenotypes by global metabolomic profiling of human synovial fluidSemantic proximity
An overview of multi-omics technologies in rheumatoid arthritis: applications in biomarker and pathway discoverySemantic proximity
Cell and Transcriptomic Diversity of Infrapatellar Fat Pad during Knee OsteoarthritisSemantic proximity
Exploratory Multi-Omics Profiling of Rheumatoid Arthritis HeterogeneitySemantic proximity
Comprehensive analysis on subchondral bone marrow lesions of human osteoarthritis by integrating bulk and single-cell transcriptomesSemantic proximity
Decoding the genomic basis of osteoarthritisSemantic proximity
Multi-omic profiling reveals age-specific blood biomarkers and aging-driven B cell remodeling in osteoarthritisSemantic proximity
Super-omics and PCAS reveal tumor-like molecular landscape of rheumatoid arthritisSemantic proximity
Identifying Feature Biomarkers Related to Disulfidptosis and Immune Cell Infiltration in Osteoarthritis through Bioinformatics AnalysisSemantic proximity
Comprehensive analysis on subchondral bone marrow lesions of human osteoarthritis by integrating bulk and single-cell transcriptomesSemantic proximity
Select a neighboring publication to make it the new centre.