Phylogenetic analysis of migration, differentiation, and class switching in B cells.

PLoS Comput Biol

Department of Pathology, Yale School of Medicine, New Haven, Connecticut, United States of America.

Published: April 2022

AI Article Synopsis

  • B cells rapidly mutate and are selected for their ability to produce effective antibodies against pathogens, undergoing processes like migration, differentiation, and isotype switching.
  • A new framework has been developed to analyze B cell receptor (BCR) sequence data using three summary statistics to study these processes and improve understanding of B cell evolution.
  • This approach has been validated through simulations and applied to high-throughput BCR datasets from HIV and food allergy studies, with methods implemented in the R package dowser.

Article Abstract

B cells undergo rapid mutation and selection for antibody binding affinity when producing antibodies capable of neutralizing pathogens. This evolutionary process can be intermixed with migration between tissues, differentiation between cellular subsets, and switching between functional isotypes. B cell receptor (BCR) sequence data has the potential to elucidate important information about these processes. However, there is currently no robust, generalizable framework for making such inferences from BCR sequence data. To address this, we develop three parsimony-based summary statistics to characterize migration, differentiation, and isotype switching along B cell phylogenetic trees. We use simulations to demonstrate the effectiveness of this approach. We then use this framework to infer patterns of cellular differentiation and isotype switching from high throughput BCR sequence datasets obtained from patients in a study of HIV infection and a study of food allergy. These methods are implemented in the R package dowser, available at https://dowser.readthedocs.io.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9037912PMC
http://dx.doi.org/10.1371/journal.pcbi.1009885DOI Listing

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