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 gene expression profiles and key genes in subchondral bone of osteoarthritis using weighted gene coexpression network analysis.

Journal of cellular biochemistry - 1 Sept 2018

Guo Sheng-Min, Wang Jian-Xiong, Li Jin, Xu Fang-Yuan, Wei Quan, Wang Hai-Ming, Huang Hou-Qiang, Zheng Si-Lin, Xie Yu-Jie, Zhang Chi

Abstract excerpt

Osteoarthritis (OA) significantly influences the quality life of people around the world. It is urgent to find an effective way to understand the genetic etiology of OA. We used weighted gene coexpression network analysis (WGCNA) to explore the key genes involved in the subchondral bone pathological process of OA. Fifty gene expression profiles of GSE51588 were downloaded from the Gene Expression Omnibus...

Read the complete abstract on PubMed

Topics

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

Share to Cluster Analysis
Share to Gene Expression Profiling

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Gene Expression Regulation

Share to Gene Ontology

Share to Gene Regulatory Networks

Share to Genetic Predisposition to Disease

Share to Osteoarthritis

Share to Osteoarthritis Treatment and Mechanisms

Source

Identifiers

PMID: 29904957
DOI: 10.1002/jcb.27118

Genes

BAMBI
HCK
ITGA11

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of gene expression profiles and key genes in subchondral bone of osteoarthritis using weighted gene coexpression network analysis.PMID 29904957Read ↗

Identification of the Biomarkers and Pathological Process of Osteoarthritis: Weighted Gene Co-expression Network AnalysisSemantic proximity Read ↗

Identification of key gene modules and transcription factors for human osteoarthritis by weighted gene co‑expression network analysisSemantic proximity Read ↗

Identification and Validation of Pivotal Genes in Osteoarthritis Combined with WGCNA AnalysisSemantic proximity Read ↗

Study of Osteoarthritis‐Related Hub Genes Based on Bioinformatics AnalysisSemantic proximity Read ↗

Identifying key genes in rheumatoid arthritis by weighted gene co-expression network analysis.Semantic proximity Read ↗

Weighted gene co-expression network analysis reveals specific modules and hub genes related to immune infiltration of osteoarthritisSemantic proximity Read ↗

Identification of Diagnostic Markers in Synovial Tissue of Osteoarthritis by Weighted Gene Coexpression NetworkSemantic proximity Read ↗

Identification of key regulators responsible for dysregulated networks in osteoarthritis by large-scale expression analysisSemantic proximity Read ↗

Multi-tissue network analysis for drug prioritization in knee osteoarthritisSemantic proximity Read ↗

Identification of Key Genes and Pathways Associated with Differences of Subchondral Bone in OsteoarthritisSemantic proximity Read ↗

Transcriptomic analyses and machine-learning methods reveal dysregulated key genes and potential pathogenesis in human osteoarthritic cartilageSemantic proximity Read ↗

Screening and validation of key genes associated with osteoarthritisSemantic proximity Read ↗

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