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Related Concept Videos

Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Related Experiment Video

Updated: Jul 7, 2025

Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry
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Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry

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Protein-centric omics integration analysis identifies candidate plasma proteins for multiple autoimmune diseases.

Yingxuan Chen1,2, Shuai Liu1,2, Weiming Gong1,2

  • 1Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44, Wenhua West Road, Jinan, 250012, Shandong, China.

Human Genetics
|December 24, 2023
PubMed
Summary

This study identifies novel plasma proteins linked to autoimmune diseases (AIDs) using omics integration. These findings highlight potential new drug targets for developing more specific AIDs therapies.

Keywords:
Autoimmune diseaseColocalizationMendelian randomizationPlasma proteinProteome-wide association studyTherapeutic target

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Area of Science:

  • Genetics and Immunology
  • Systems Biology
  • Pharmacogenomics

Background:

  • Translating genome-wide association studies (GWAS) findings into therapeutic targets for autoimmune diseases (AIDs) remains challenging due to unknown mechanisms of risk variants.
  • Current immunomodulatory drugs for AIDs lack disease specificity, necessitating the identification of precise therapeutic targets.

Purpose of the Study:

  • To identify autoimmune disease (AID)-associated plasma proteins by integrating protein quantitative trait loci (pQTL) data with large-scale GWAS summary statistics.
  • To uncover potential causal relationships between plasma proteins and AIDs and prioritize novel therapeutic targets.

Main Methods:

  • Performed a comprehensive protein-centric omics integration analysis, including proteome-wide association study (PWAS), enrichment analysis, Mendelian randomization (MR), and colocalization analysis.
  • Integrated pQTL data from 1348 proteins and 7213 individuals with GWAS data from ten large-scale AID studies.

Main Results:

  • Identified 174 protein-AID associations via PWAS, with significant enrichment in immune-related pathways like inflammatory response.
  • Discovered 97 protein-AID pairs with potential causal relationships through MR, of which 21 were strongly supported by colocalization analysis, including 10 novel associations.
  • Identified four proteins with existing drugs and 17 with druggability, suggesting potential therapeutic avenues.

Conclusions:

  • The study successfully identified novel plasma proteins associated with AIDs and their potential causal links.
  • These findings enhance the understanding of AID pathogenesis and highlight promising protein targets for developing specific immunomodulatory therapies.