Work

Ancestry Matters in Decoding Immunity

Year: 2026

Type: article

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.

Source: Immunology and Cell Biology

DOI: 10.1111/imcb.70143

Authors: Kesong Wu, Amanda J. Oliver, Zewen Kelvin Tuong

Institutions: The University of Queensland, QIMR Berghofer Medical Research Institute

Language: English

Topic: Single-cell and spatial transcriptomics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $3,750