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SURROGATE SELECTION OVERSAMPLES EXPANDED T CELL CLONOTYPES.
Yu, Peng; Lian, Yumin; Zuleger, Cindy L; Albertini, Richard J; Albertini, Mark R; Newton, Michael A.
Afiliação
  • Yu P; Department of Statistics, University of Wisconsin, Madison.
  • Lian Y; Department of Chemistry, Laboratory of Genetics, University of Wisconsin, Madison.
  • Zuleger CL; Department of Medicine, School of Medicine and Public Health, University of Wisconsin, Madison.
  • Albertini RJ; Carbone Cancer Center, University of Wisconsin, Madison.
  • Albertini MR; University of Vermont, Burlington, VT, USA.
  • Newton MA; Department of Medicine, School of Medicine and Public Health, University of Wisconsin, Madison.
bioRxiv ; 2023 Jul 15.
Article em En | MEDLINE | ID: mdl-37503118
Inference from immunological data on cells in the adaptive immune system may benefit from modeling specifications that describe variation in the sizes of various clonal sub-populations. We develop one such specification in order to quantify the effects of surrogate selection assays, which we confirm may lead to an enrichment for amplified, potentially disease-relevant T cell clones. Our specification couples within-clonotype birth-death processes with an exchangeable model across clonotypes. Beyond enrichment questions about the surrogate selection design, our framework enables a study of sampling properties of elementary sample diversity statistics; it also points to new statistics that may usefully measure the burden of somatic genomic alterations associated with clonal expansion. We examine statistical properties of immunological samples governed by the coupled model specification, and we illustrate calculations in surrogate selection studies of melanoma and in single-cell genomic studies of T cell repertoires.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article