Titlebook: Mathematical, Computational and Experimental T Cell Immunology; Carmen Molina-París,Grant Lythe Book 2021 Springer Nature Switzerland AG 2

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Inferring Differentiation Order in Adaptive Immune Responses from Population-Level Data,pathogen and then die during the contraction phase and a population of memory cells that are of a longer lineage. For CD8. T cells, many theories have been proposed for the dynamics of this differentiation.

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The Public Face and Private Lives of T Cell Receptor Repertoires,sequences with a previously unobtainable resolution. These and other data have demonstrated a surprisingly high degree of shared or “public” TCRs at paired and single chain levels found in multiple individuals. Given the vast potential diversity of the na?ve repertoire, this apparently high level of

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Agent-Based Model of Heterogeneous T-Cell Activation in Vitro,erential equation per cell population, our computational model describes the dynamics of a cohort of cells in terms of a series of discrete events, one after the other, occurring to one cell at a time. Two types of heterogeneity are explicitly simulated: cell surface marker expression that is time-d

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Book 2021and mathematical immunology. Each chapter includes state-of-the-art and pedagogical content, making this book accessible to readers with limited experience in T cell immunology and/or mathematical and computational modelling..