T-cell primary activation is a key event in the initiation of the adaptive immune response. Quantifying T-cell proliferation is extremely important to understand essential features of the immune response to vaccine or infection stimulus. Although mathematical models represent an attractive tool for analysis, they have been used almost exclusively for studying in vitro experiments. In this paper, we adopt a multi-type branching process with immigration to model Tcell proliferation in in vivo experiments. A maximum likelihood approach has been used to estimate model parameters, using T-cell relative frequencies instead of cell counts. Parameter estimates which represent the probabilities of division and Death of the different cell generations, provide meaningful information on T-cell population kinetics.

Boianelli, A., Pettini, E., Prota, G., Medaglini, D., Vicino, A. (2013). Identification of a branching process model for adaptive immune response. In In Proceedings of the 52nd IEEE Conference on Decision and Control (pp.7205-7210) [10.1109/CDC.2013.6761032].

Identification of a branching process model for adaptive immune response

BOIANELLI, ALESSANDRO;PETTINI, ELENA;PROTA, GENNARO;MEDAGLINI, DONATA;VICINO, ANTONIO
2013-01-01

Abstract

T-cell primary activation is a key event in the initiation of the adaptive immune response. Quantifying T-cell proliferation is extremely important to understand essential features of the immune response to vaccine or infection stimulus. Although mathematical models represent an attractive tool for analysis, they have been used almost exclusively for studying in vitro experiments. In this paper, we adopt a multi-type branching process with immigration to model Tcell proliferation in in vivo experiments. A maximum likelihood approach has been used to estimate model parameters, using T-cell relative frequencies instead of cell counts. Parameter estimates which represent the probabilities of division and Death of the different cell generations, provide meaningful information on T-cell population kinetics.
978-1-4673-5714-2
Boianelli, A., Pettini, E., Prota, G., Medaglini, D., Vicino, A. (2013). Identification of a branching process model for adaptive immune response. In In Proceedings of the 52nd IEEE Conference on Decision and Control (pp.7205-7210) [10.1109/CDC.2013.6761032].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/45335
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