Ancestry Matters in Decoding Immunity

The Chinese Immune Multi-Omics Atlas (CIMA) establishes a population-scale immune multi-omics atlas by profiling over 10 million peripheral blood mononuclear cells from 428 Chinese adults using paired scRNA-seq and scATAC-seq. This resource mitigates longstanding European ancestry bias in single-cell genomics and enables cell type resolved regulatory mapping across immune populations. Building on this atlas, CIMA-CLM integrates chromatin sequence features with single-cell transcriptomic context to predict chromatin accessibility and assess noncoding variant effects, exemplified in FOXP3+ regulatory T cells.

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Publication Details

Journal
Immunology and Cell Biology
Published
2026-06-30
DOI
https://doi.org/10.1111/imcb.70143
Primary Topic
T-cell and B-cell Immunology
Type
article
Field-Weighted Citation Impact
0.00
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article

Ancestry Matters in Decoding Immunity

Zewen Kelvin Tuong, Amanda J. Oliver, Kesong Wu
Immunology and Cell Biology
T-cell and B-cell Immunology
article

Ancestry Matters in Decoding Immunity

Zewen Kelvin Tuong, Amanda J. Oliver, Kesong Wu
article en

Abstract

The Chinese Immune Multi-Omics Atlas (CIMA) establishes a population-scale immune multi-omics atlas by profiling over 10 million peripheral blood mononuclear cells from 428 Chinese adults using paired scRNA-seq and scATAC-seq. This resource mitigates longstanding European ancestry bias in single-cell genomics and enables cell type resolved regulatory mapping across immune populations. Building on this atlas, CIMA-CLM integrates chromatin sequence features with single-cell transcriptomic context to predict chromatin accessibility and assess noncoding variant effects, exemplified in FOXP3+ regulatory T cells.

Immunology and Cell Biology
The University of Queensland (AU), QIMR Berghofer Medical Research Institute (AU)
Openalex Percentile: Top 11%
T-cell and B-cell Immunology
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