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Computational estimation of clonal diversity in autoimmunity.
- Source :
-
Immunology and cell biology [Immunol Cell Biol] 2024 Sep; Vol. 102 (8), pp. 692-701. Date of Electronic Publication: 2024 Jul 15. - Publication Year :
- 2024
-
Abstract
- Diversity is the cornerstone of the adaptive immune system, crucial for its effectiveness against constantly evolving pathogens that pose threats to higher vertebrates. Accurately measuring and interpreting this diversity presents challenges for immunologists, as changes in diversity and clonotype composition can tip the balance between protective immunity and autoimmunity. In this review, we present the current methods commonly used to measure diversity from single-cell T-cell receptor and B-cell receptor sequencing. We also discuss two case studies where single-cell sequencing and diversity estimations have led to breakthroughs in autoimmune disease discovery and therapeutic innovation, and reflect upon the necessity and importance of accurately defining and measuring lymphocyte diversity in these contexts.<br /> (© 2024 The Author(s). Immunology & Cell Biology published by John Wiley & Sons Australia, Ltd on behalf of the Australian and New Zealand Society for Immunology, Inc.)
- Subjects :
- Humans
Animals
Receptors, Antigen, B-Cell genetics
Receptors, Antigen, B-Cell metabolism
Autoimmune Diseases immunology
Computational Biology methods
Genetic Variation
B-Lymphocytes immunology
Autoimmunity
Receptors, Antigen, T-Cell metabolism
Receptors, Antigen, T-Cell immunology
Receptors, Antigen, T-Cell genetics
Single-Cell Analysis
Subjects
Details
- Language :
- English
- ISSN :
- 1440-1711
- Volume :
- 102
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Immunology and cell biology
- Publication Type :
- Academic Journal
- Accession number :
- 39010261
- Full Text :
- https://doi.org/10.1111/imcb.12801