
Carmen Molina-Paris
Scientist 4
Los Alamos National Laboratory Continue Reading Carmen Molina-Paris
Fate of a Naive T Cell: A Stochastic Journey.
stable isotope labeling (e.g., deuterium) (6). When combined with mathematical and computational models, they allow estimation of rates of migration, division, differentiation and death (6, 7). In this work, we develop a stochastic model of a single cell migrating between spatial compartments, dividing and eventually dying. We calculate the number of division events during a T cell's journey, its lifespan, the probability of dying in each compartment and the number of progeny cells. A fast-migration approximation allows us to compute these quantities when migration rates are larger than division and death rates. Making use of published rates: (i) we analyse how perturbations in a given spatial compartment impact the dynamics of a T cell, (ii) we study the accuracy of the fast-migration approximation, and (iii) we quantify the role played by direct migration (not via the blood) between some compartments.
Frontiers in immunology

Scientist 4
Los Alamos National Laboratory Continue Reading Carmen Molina-Paris

Professor of Applied Mathematics
University of Leeds Continue Reading Grant Lythe

Associate Professor (Teaching)
University College London Continue Reading Niloufar Abourashchi