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

Bioinformatics Analysis Identified the Hub Genes, mRNA–miRNA–lncRNA Axis, and Signaling Pathways Involved in Rheumatoid Arthritis Pathogenesis

1 Apr 2022

Abstract excerpt

Objective: Rheumatoid arthritis (RA) is a nonspecific, chronic, systemic autoimmune disease characterized by symmetric polyarticular synovitis. Bioinformatics analysis of potential biomarkers, mRNA–miRNA–lncRNA axes, and signaling pathways in the pathogenesis of RA provides potential targets and theoretical basis for further research on RA. Methods: The GSE1919 and GSE77298 datasets were downloaded from the Gene...

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 Cytokine Signaling Pathways and Interactions
Share to Rheumatoid Arthritis Research and Therapies

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 35422654
DOI: 10.2147/ijgm.s353487

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

Bioinformatics Analysis Identified the Hub Genes, mRNA–miRNA–lncRNA Axis, and Signaling Pathways Involved in Rheumatoid Arthritis PathogenesisPMID 35422654Read ↗

Bioinformatics Analysis Screened and Identified Key Genes, miRNAs and TFs as Potential Biomarkers for Progression of Rheumatoid ArthritisSemantic proximity Read ↗

Three hematologic/immune system-specific expressed genes are considered as the potential biomarkers for the diagnosis of early rheumatoid arthritis through bioinformatics analysisSemantic proximity Read ↗

Three hematologic/immune system-specific expressed genes are considered as the potential biomarkers for the diagnosis of early rheumatoid arthritis through bioinformatics analysisSemantic proximity Read ↗

Identification of key genes and immune profile in rheumatoid arthritis by bioinformatics analysisSemantic proximity Read ↗

Bioinformatics-based study to identify immune infiltration and inflammatory-related hub genes as biomarkers for the treatment of rheumatoid arthritis.Semantic proximity Read ↗

Identification of Potential Biomarkers in Synovial Tissue of Rheumatoid Arthritis via Integrated Microarray Analysis. Identification of Biomarkers of Rheumatoid ArthritisSemantic proximity Read ↗

Identification of RRM2 as a Potential Biomarker for the Diagnosis and Prognosis of Rheumatoid ArthritisSemantic proximity Read ↗

LCK and its related molecules as potential biomarkers in rheumatoid arthritisSemantic proximity Read ↗

Identification of Key Immune-Related Genes, Molecular Pathways and Immune Infiltration as Diagnostic and Therapeutic Candidate Targets for RA: an integrated bioinformatics-based analysisSemantic proximity Read ↗

Screening and identification of potential hub genes and immune cell infiltration in the synovial tissue of rheumatoid arthritis by bioinformatic approachSemantic proximity Read ↗

Identification of Potential Therapeutic Targets For Rheumatoid Arthritis By BioinformaticsSemantic proximity Read ↗

Identification and validation of hub genes of synovial tissue for patients with osteoarthritis and rheumatoid arthritisSemantic proximity Read ↗

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