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Several cytokine receptors have tightly bound Janus kinase or JAK proteins attached at their cytosolic tail. Small signaling molecules such as cytokines, growth hormones, or prolactins bind to the cytokine receptors and initiate their dimerization. The dimerization brings the cytosolic JAKs together that trans-phosphorylate and activates each other. The activated JAKs now phosphorylate cytosolic tails of the cytokine receptors, which serve as binding sites for adaptor proteins such as  SH2...
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Related Experiment Video

Updated: Dec 7, 2025

Investigating Target Gene Function in a CD40 Agonistic Antibody-induced Colitis Model using CRISPR/Cas9-based Technologies
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Multiple Processes May Involve in the IgG4-RD Pathogenesis: An Integrative Study via Proteomic and Transcriptomic

Shaozhe Cai1, Yu Chen1, ShengYan Lin1

  • 1Department of Rheumatology and Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Frontiers in Immunology
|September 25, 2020
PubMed
Summary

This study identifies key protein and gene expression differences in Immunoglobulin G4-related disease (IgG4-RD), revealing immune-related pathways involved in its pathogenesis and potential therapeutic targets.

Keywords:
IgG4-RD pathogenesisIgG4-related disease (IgG4-RD)WGCNA (Weighted Gene Co-expression Network Analyses)enrichment analysisproteomic analysis

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Area of Science:

  • Immunology
  • Proteomics
  • Transcriptomics

Background:

  • Immunoglobulin G4-related disease (IgG4-RD) is a recently recognized condition with unclear pathogenesis.
  • Understanding the molecular characteristics of IgG4-RD is crucial for elucidating its mechanisms.

Purpose of the Study:

  • To investigate the proteomic and transcriptomic profiles of IgG4-related disease.
  • To identify molecular pathways and potential therapeutic targets involved in IgG4-RD pathogenesis.

Main Methods:

  • Proteomic analysis using iTRAQ on serum and tissue samples from IgG4-RD patients and healthy controls.
  • Transcriptomic data analysis (GEO datasets) and Weighted Gene Correlation Network Analysis (WGCNA).
  • KEGG pathway analysis to identify enriched signaling pathways.

Main Results:

  • Identified 980 differentially expressed proteins (DEPs) in tissue and 94 DEPs in serum.
  • Detected 354 and 247 highly correlated genes in tissue and PBMC, respectively, using WGCNA.
  • Found enrichment of DEPs in immune-related activities like infections and platelet activation, and associated signaling pathways.

Conclusions:

  • Multiple processes, factors, and immune signaling pathways implicated in IgG4-RD pathogenesis were identified.
  • Potential therapeutic targets for IgG4-related disease were discovered through proteomic and transcriptomic analyses.