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Alignment free identification of clones in B cell receptor repertoires
Authors:Ofir Lindenbaum  Nima Nouri  Yuval Kluger  Steven H Kleinstein
Institution:Program in Applied Mathematics, Yale University, New Haven, CT, USA;Department of Pathology, Yale School of Medicine, New Haven, CT, USA;Center for Medical Informatics, Yale University, New Haven, CT 06511, USA;Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA;Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
Abstract:Following antigenic challenge, activated B cells rapidly expand and undergo somatic hypermutation, yielding groups of clonally related B cells with diversified immunoglobulin receptors. Inference of clonal relationships based on the receptor sequence is an essential step in many adaptive immune receptor repertoire sequencing studies. These relationships are typically identified by a multi-step process that involves: (i) grouping sequences based on shared V and J gene assignments, and junction lengths and (ii) clustering these sequences using a junction-based distance. However, this approach is sensitive to the initial gene assignments, which are error-prone, and fails to identify clonal relatives whose junction length has changed through accumulation of indels. Through defining a translation-invariant feature space in which we cluster the sequences, we develop an alignment free clonal identification method that does not require gene assignments and is not restricted to a fixed junction length. This alignment free approach has higher sensitivity compared to a typical junction-based distance method without loss of specificity and PPV. While the alignment free procedure identifies clones that are broadly consistent with the junction-based distance method, it also identifies clones with characteristics (multiple V or J gene assignments or junction lengths) that are not detectable with the junction-based distance method.
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