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 intra-group, inter-individual, and gene-specific variances in mRNA expression profiles in the rheumatoid arthritis synovial membrane.

Arthritis research & therapy - 1 Jan 2008

Huber René, Hummert Christian, Gausmann Ulrike, Pohlers Dirk, Koczan Dirk, Guthke Reinhard, Kinne Raimund W

Abstract excerpt

INTRODUCTION: Rheumatoid arthritis (RA) is a chronic inflammatory and destructive joint disease characterized by overexpression of pro-inflammatory/pro-destructive genes and other activating genes (for example, proto-oncogenes) in the synovial membrane (SM). The gene expression in disease is often characterized by significant inter-individual variances via specific synchronization/desynchronization of gene...

Read the complete abstract on PubMed

Topics

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

Share to Apoptosis Regulatory Proteins
Share to Arthritis, Rheumatoid

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Neovascularization, Pathologic

Share to Osteoarthritis

Share to Receptors, Cytokine

Share to Synovial Membrane

Share to Transforming Growth Factor beta

Share to Vascular Endothelial Growth Factor A

Source

Open in PubMed Open full text

Identifiers

PMID: 18721452
DOI: 10.1186/ar2485
PMCID: PMC2575612

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of intra-group, inter-individual, and gene-specific variances in mRNA expression profiles in the rheumatoid arthritis synovial membrane.PMID 18721452Read ↗

Analysis of differentially expressed genes between rheumatoid arthritis and osteoarthritis based on the gene co-expression networkSemantic proximity Read ↗

Identification of differentially expressed genes in synovial tissue of rheumatoid arthritis and osteoarthritis in patientsSemantic proximity Read ↗

RNA-Seq and Network Analysis Reveal Unique Chemokine Activity Gene Expression Signatures in Synovial Tissue From Rheumatoid ArthritisSemantic proximity Read ↗

Functional annotation of rheumatoid arthritis and osteoarthritis associated genes by integrative genome-wide gene expression profiling analysis.Semantic proximity Read ↗

Bioinformatics Analysis and Identification of Genes and Molecular Pathways Involved in Synovial Inflammation in Rheumatoid ArthritisSemantic proximity Read ↗

Identification of key biomolecules in rheumatoid arthritis through the reconstruction of comprehensive disease-specific biological networksSemantic proximity Read ↗

A Comprehensive Gene Expression Meta-analysis Identifies Novel Immune Signatures in Rheumatoid Arthritis PatientsSemantic proximity Read ↗

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

Molecular signatures and new candidates to target the pathogenesis of rheumatoid arthritisSemantic proximity Read ↗

Identification of differentially expressed genes, signaling pathways and immune infiltration in rheumatoid arthritis by integrated bioinformatics analysisSemantic proximity Read ↗

Identification of key genes in rheumatoid arthritis and osteoarthritis based on bioinformatics analysis.Semantic proximity Read ↗

Harnessing gene-gene interactions via an RNA-Sequencing network analysis framework improves precision medicine prediction in rheumatoid arthritisSemantic proximity Read ↗

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