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Cutting Edge: Ig H Chains Are Sufficient to Determine Most B Cell Clonal Relationships.
Zhou, Julian Q; Kleinstein, Steven H.
Afiliação
  • Zhou JQ; Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511.
  • Kleinstein SH; Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511; steven.kleinstein@yale.edu.
J Immunol ; 203(7): 1687-1692, 2019 10 01.
Article em En | MEDLINE | ID: mdl-31484734
ABSTRACT
B cell clonal expansion is vital for adaptive immunity. High-throughput BCR sequencing enables investigating this process but requires computational inference to identify clonal relationships. This inference usually relies on only the BCR H chain, as most current protocols do not preserve HL chain pairing. The extent to which paired L chains aids inference is unknown. Using human single-cell paired BCR datasets, we assessed the ability of H chain-based clonal clustering to identify clones. Of the expanded clones identified, <20% grouped cells expressing inconsistent L chains. H chains from these misclustered clones contained more distant junction sequences and shared fewer V segment mutations than the accurate clones. This suggests that additional H chain information could be leveraged to refine clonal relationships. Conversely, L chains were insufficient to refine H chain-based clonal clusters. Overall, the BCR H chain alone is sufficient to identify clonal relationships with confidence.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Linfócitos B / Receptores de Antígenos de Linfócitos B / Rearranjo Gênico de Cadeia Pesada de Linfócito B / Cadeias Pesadas de Imunoglobulinas / Bases de Dados Genéticas Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Linfócitos B / Receptores de Antígenos de Linfócitos B / Rearranjo Gênico de Cadeia Pesada de Linfócito B / Cadeias Pesadas de Imunoglobulinas / Bases de Dados Genéticas Idioma: En Ano de publicação: 2019 Tipo de documento: Article