Somatic hypermutation analysis for improved identification of B cell clonal families from next-generation sequencing data

• Published in: PLoS computational biology Vol. 16; no. 6; p. e1007977
• Main Authors: Nouri, Nima, Kleinstein, Steven H.
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 23.06.2020; Public Library of Science (PLoS)
• Subjects: Adaptive immunity; Antigens; B cells; B-cell receptor; B-Lymphocytes - immunology; Biology and Life Sciences; Cell division; Cloning; Clustering; Complementarity Determining Regions; Computational Biology - methods; Computer simulation; DNA sequencing; Genes; Genetic aspects; Health informatics; High-Throughput Nucleotide Sequencing - methods; Humans; Identification and classification; Medicine; Medicine and Health Sciences; Methods; Mutation; Next-generation sequencing; Pathogens; Physiological aspects; Receptors; Receptors, Antigen, B-Cell - genetics; Receptors, Antigen, B-Cell - immunology; Recombination, Genetic; Research and Analysis Methods; Somatic cells; Somatic hypermutation; Source code; Iran; United States > US; Connecticut

Adaptive immune receptor repertoire sequencing (AIRR-Seq) offers the possibility of identifying and tracking B cell clonal expansions during adaptive immune responses. Members of a B cell clone are descended from a common ancestor and share the same initial V(D)J rearrangement, but their B cell rece...