Single-cell immune repertoire analysis.

Autor: Irac SE; Cancer Immunoregulation and Immunotherapy, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia., Soon MSF; Ian Frazer Centre for Children's Immunotherapy Research, Child Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia., Borcherding N; Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA.; Omniscope, Palo Alto, CA, USA., Tuong ZK; Ian Frazer Centre for Children's Immunotherapy Research, Child Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia. z.tuong@uq.edu.au.; Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia. z.tuong@uq.edu.au.
Jazyk: angličtina
Zdroj: Nature methods [Nat Methods] 2024 May; Vol. 21 (5), pp. 777-792. Date of Electronic Publication: 2024 Apr 18.
DOI: 10.1038/s41592-024-02243-4
Abstrakt: Single-cell T cell and B cell antigen receptor-sequencing data analysis can potentially perform in-depth assessments of adaptive immune cells that inform on understanding immune cell development to tracking clonal expansion in disease and therapy. However, it has been extremely challenging to analyze and interpret T cells and B cells and their adaptive immune receptor repertoires at the single-cell level due to not only the complexity of the data but also the underlying biology. In this Review, we delve into the computational breakthroughs that have transformed the analysis of single-cell T cell and B cell antigen receptor-sequencing data.
(© 2024. Springer Nature America, Inc.)
Databáze: MEDLINE
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