A theory of immunodominance and adaptive regulation

DOI10.1007/S11538-010-9585-5zbMath1225.92010OpenAlexW2125256410WikidataQ37398406 ScholiaQ37398406MaRDI QIDQ644582

Peter S. Kim, Peter P. Lee, Doron Levy

Publication date: 4 November 2011

Published in: Bulletin of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3865720

zbMATH Keywords

delay differential equationscompetition modeladaptive regulatory T cellsT cell response

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) Dynamical systems in biology (37N25) Medical applications (general) (92C50) Physiology (general) (92C30) Cell biology (92C37) Qualitative investigation and simulation of models involving functional-differential equations (34K60)

Related Items (7)

Modeling LSD1-mediated tumor stagnation ⋮ Functional switching and stability of regulatory T cells ⋮ Modeling the development of cellular exhaustion and tumor-immune stalemate ⋮ Modeling immunodominance in the B-cell response to viral infection ⋮ Modeling the effect of memory in the adaptive immune response ⋮ Basic Principles in Modeling Adaptive Regulation and Immunodominance ⋮ A stability theorem for equilibria of delay differential equations in a critical case with application to a model of cell evolution

Cites Work

• Emergent group dynamics governed by regulatory cells produce a robust primary T cell response

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