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Deciphering state-dependent immune features from multi-layer omics data at single-cell resolution.

Ryuya Edahiro1,2,3, Go Sato4,5,6, Tatsuhiko Naito4,5

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Summary
This summary is machine-generated.

This study built a detailed immune cell atlas from Japanese individuals, revealing genetic influences on immune cell function and identifying unique features in somatically mutated cells for better disease insights.

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Area of Science:

  • Immunology
  • Genomics
  • Proteomics
  • Metagenomics

Background:

  • Existing genetic trait locus catalogs lack single-cell resolution and diversity.
  • Understanding immune cell regulation requires multiomic and diverse population data.

Purpose of the Study:

  • To construct a high-resolution immune cell atlas using multiomic data from Japanese individuals.
  • To investigate germline genetic effects on immune cell gene expression and T/B cell receptor repertoires.
  • To explore somatic mutations and their impact on immune cell features.

Main Methods:

  • Single-cell transcriptomics of over 1.5 million peripheral blood mononuclear cells.
  • Integration of host genetics, plasma proteomics, and gut metagenomics data.
  • Analysis of germline genetic effects, HLA and genome-wide associations, and somatic mutations.

Main Results:

  • Mapped genetic effects on gene expression across immune cell types and states.
  • Elucidated cell type- and context-specific genetic associations with T and B cell receptors.
  • Identified immune features associated with somatic mutations like mtDNA heteroplasmy and mosaic chromosomal alterations.
  • Revealed cell state-dependent immune cell regulation through multiomic profiles.

Conclusions:

  • The study provides a comprehensive, single-cell resolution immune cell atlas from a diverse population.
  • Germline and somatic genetic variations significantly influence immune cell function and repertoire.
  • Immune cell dynamics are intricately regulated by cell state and multiomic interactions.