Cross-tissue immune cell analysis reveals tissue-specific features in humans

C. Domínguez Conde, C. Xu, L. B. Jarvis, D. B. Rainbow, S. B. Wells, T. Gomes, S. K. Howlett, O. Suchanek, K. Polanski, H. W. King, L. Mamanova, N. Huang, P. A. Szabo, L. Richardson, L. Bolt, E. S. Fasouli, K. T. Mahbubani, M. Prete, L. Tuck, N. Richoz, Z. K. Tuong, L. Campos, H. S. Mousa, E. J. Needham, S. Pritchard, T. Li, R. Elmentaite, J. Park, E. Rahmani, D. Chen, D. K. Menon, O. A. Bayraktar, L. K. James, K. B. Meyer, N. Yosef, M. R. Clatworthy, P. A. Sims, D. L. Farber, K. Saeb-Parsy, J. L. Jones, S. A. Teichmann

Abstract

Despite their crucial role in health and disease, our knowledge of immune cells within human tissues remains limited. We surveyed the immune compartment of 16 tissues from 12 adult donors by single-cell RNA sequencing and VDJ sequencing generating a dataset of ~360,000 cells. To systematically resolve immune cell heterogeneity across tissues, we developed CellTypist, a machine learning tool for rapid and precise cell type annotation. Using this approach, combined with detailed curation, we determined the tissue distribution of finely phenotyped immune cell types, revealing hitherto unappreciated tissue-specific features and clonal architecture of T and B cells. Our multitissue approach lays the foundation for identifying highly resolved immune cell types by leveraging a common reference dataset, tissue-integrated expression analysis, and antigen receptor sequencing.

Datasets

1. Global
Metadata
donor_id
Predicted_labels_CellTypist
Majority_voting_CellTypist
Majority_voting_CellTypist_high
Manually_curated_celltype
assay_ontology_term_id
cell_type_ontology_term_id
development_stage_ontology_term_id
disease_ontology_term_id
self_reported_ethnicity_ontology_term_id
organism_ontology_term_id
sex_ontology_term_id
tissue_ontology_term_id
suspension_type
tissue_type
cell_type
assay
disease
organism
sex
tissue
self_reported_ethnicity
development_stage
D49688057 cells
D50379004 cells
640C35527 cells
637C25843 cells
A3624105 cells
A2917327 cells
A3112446 cells
582C11590 cells
A3511105 cells
621B10632 cells
A379806 cells
A524320 cells
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Cross-tissue immune cell analysis reveals tissue-specific features in humans

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Source data

https://cellxgene.cziscience.com/collections/62ef75e4-cbea-454e-a0ce-998ec40223d3

Alias names

E-MTAB-11536, SCP1845, PMID35549406, PMC7612735

Cite this study

Domínguez Conde, C., Xu, C., Jarvis, L.B., Rainbow, D.B., Wells, S.B., Gomes, T., Howlett, S.K., Suchanek, O., Polanski, K., King, H.W. and Mamanova, L., 2022. Cross-tissue immune cell analysis reveals tissue-specific features in humans. Science, 376(6594), p.eabl5197. https://doi.org/10.1126/science.abl5197