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

Immune Cell-Related Genes in Juvenile Idiopathic Arthritis Identified Using Transcriptomic and Single-Cell Sequencing Data

25 Jun 2023

Abstract excerpt

Juvenile idiopathic arthritis (JIA) is the most common chronic rheumatic disease in children. The heterogeneity of the disease can be investigated via single-cell RNA sequencing (scRNA-seq) for its gap in the literature. Firstly, five types of immune cells (plasma cells, naive CD4 T cells, memory-activated CD4 T cells, eosinophils, and neutrophils) were significantly different between normal control (NC) and JIA...

Read the complete abstract on PubMed

Topics

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

Share to Autoimmune and Inflammatory Disorders Research
Share to Immune Cell Function and Interaction
Share to Systemic Lupus Erythematosus Research

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 37445800
DOI: 10.3390/ijms241310619

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Immune Cell-Related Genes in Juvenile Idiopathic Arthritis Identified Using Transcriptomic and Single-Cell Sequencing DataPMID 37445800Read ↗

Identification of Potential Diagnostic Biomarkers for Systemic Juvenile Idiopathic Arthritis by Integrative Transcriptomic AnalysisSemantic proximity Read ↗

Large-scale integrative analysis of juvenile idiopathic arthritis for new insight into its pathogenesis.Semantic proximity Read ↗

Identification of Key Biomarkers in RF-negative Polyarticular and Oligoarticular juvenile idiopathic arthritis by Bioinformatic AnalysisSemantic proximity Read ↗

Large-scale Integrative Analysis of Juvenile Idiopathic Arthritis for New Insight into Its PathogenesisSemantic proximity Read ↗

Population-level single-cell genomics reveals conserved gene programs in systemic juvenile idiopathic arthritisSemantic proximity Read ↗

Integrative Analysis of Transcriptome-Wide Association Study and Gene-Based Association Analysis Identifies In Silico Candidate Genes Associated with Juvenile Idiopathic Arthritis.Semantic proximity Read ↗

Integrative analysis reveals novel insights into juvenile idiopathic arthritis pathogenesis and shared molecular pathways with associated traitsSemantic proximity Read ↗

Revealing novel genomic insights and therapeutic targets for juvenile idiopathic arthritis through omics.Semantic proximity Read ↗

Defining Inflammatory Cell States in Rheumatoid Arthritis Joint Synovial Tissues by Integrating Single-cell Transcriptomics and Mass CytometrySemantic proximity Read ↗

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

Unraveling immune cell heterogeneity in autoimmune arthritis: insights from single-cell RNA sequencingSemantic proximity Read ↗

Network Analysis Uncovers Gene-Regulatory Intersections Linking Juvenile Idiopathic Arthritis to Blood Cancers and Other Autoimmune DiseasesSemantic proximity Read ↗

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