Cross-tissue immune cell analysis reveals tissue-specific features in humans
Wellcome Sanger Institute · University of Cambridge · +8 more institutions
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…
Citation impact
- FWCI
- 86.45
- Percentile
- 100%
- References
- 93
Authors
41Topics & keywords
- Immune system
- Biology
- Cell type
- Cell
- Computational biology
- RNA
- Immune receptor
- Immunology
Funding
- WTWellcome TrustAwards: 211276, RG79413, 108413/A/15/D, 206194, BRC-1215-20014
- NINational Institute for Health and Care ResearchAward: BRC-1215-20014
- DODepartment of Health and Social Care
- ECEuropean CommissionAwards: 646794, 675395, H2020
- NINational Institutes of HealthAwards: AI106697, H2020
- H2Horizon 2020 Framework ProgrammeAward: 675395
- NCNIHR Cambridge Biomedical Research CentreAward: BRC-1215-20014