Literature DB >> 25155903

Modeling the T cell immune response: a fascinating challenge.

Penelope A Morel1, James R Faeder, William F Hawse, Natasa Miskov-Zivanov.   

Abstract

The immune system is designed to protect the organism from infection and to repair damaged tissue. An effective response requires recognition of the threat, the appropriate effector mechanism to clear the pathogen and a return to homeostasis with minimal damage to self-tissues. T cells play a central role in orchestrating the immune response at all stages of the response and have been the subject of intense study by both experimental immunologists and modelers. This review examines some of the more critical questions in T cell biology and describes the latest attempts to address those questions using approaches that combine mathematical modeling and experiments.

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Year:  2014        PMID: 25155903      PMCID: PMC4210366          DOI: 10.1007/s10928-014-9376-y

Source DB:  PubMed          Journal:  J Pharmacokinet Pharmacodyn        ISSN: 1567-567X            Impact factor:   2.745


  145 in total

Review 1.  Systems immunology: a survey of modeling formalisms, applications and simulation tools.

Authors:  Vipin Narang; James Decraene; Shek-Yoon Wong; Bindu S Aiswarya; Andrew R Wasem; Shiang Rong Leong; Alexandre Gouaillard
Journal:  Immunol Res       Date:  2012-09       Impact factor: 2.829

2.  Inducing and expanding regulatory T cell populations by foreign antigen.

Authors:  Karsten Kretschmer; Irina Apostolou; Daniel Hawiger; Khashayarsha Khazaie; Michel C Nussenzweig; Harald von Boehmer
Journal:  Nat Immunol       Date:  2005-10-23       Impact factor: 25.606

3.  A network model for the control of the differentiation process in Th cells.

Authors:  Luis Mendoza
Journal:  Biosystems       Date:  2005-12-28       Impact factor: 1.973

4.  Non-obese diabetic mice select a low-diversity repertoire of natural regulatory T cells.

Authors:  Cristina Ferreira; Yogesh Singh; Anna L Furmanski; F Susan Wong; Oliver A Garden; Julian Dyson
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-09       Impact factor: 11.205

5.  The dynamics of signaling as a pharmacological target.

Authors:  Marcelo Behar; Derren Barken; Shannon L Werner; Alexander Hoffmann
Journal:  Cell       Date:  2013-10-10       Impact factor: 41.582

6.  Murine thymic selection quantified using a unique method to capture deleted T cells.

Authors:  Gretta L Stritesky; Yan Xing; Jami R Erickson; Lokesh A Kalekar; Xiaodan Wang; Daniel L Mueller; Stephen C Jameson; Kristin A Hogquist
Journal:  Proc Natl Acad Sci U S A       Date:  2013-03-04       Impact factor: 11.205

7.  Modeling the role of IL-2 in the interplay between CD4+ helper and regulatory T cells: assessing general dynamical properties.

Authors:  Karina García-Martínez; Kalet León
Journal:  J Theor Biol       Date:  2009-10-28       Impact factor: 2.691

8.  Making sense of the combined effect of interleukin-2 and interleukin-4 on lymphocytes using a mathematical model.

Authors:  B F Morel; M A Burke; J Kalagnanam; S A McCarthy; D J Tweardy; P A Morel
Journal:  Bull Math Biol       Date:  1996-05       Impact factor: 1.758

9.  Dominant role of antigen dose in CD4+Foxp3+ regulatory T cell induction and expansion.

Authors:  Michael S Turner; Lawrence P Kane; Penelope A Morel
Journal:  J Immunol       Date:  2009-10-15       Impact factor: 5.422

10.  Coreceptor affinity for MHC defines peptide specificity requirements for TCR interaction with coagonist peptide-MHC.

Authors:  John A H Hoerter; Joanna Brzostek; Maxim N Artyomov; Steven M Abel; Javier Casas; Vasily Rybakin; Jeanette Ampudia; Carina Lotz; Janet M Connolly; Arup K Chakraborty; Keith G Gould; Nicholas R J Gascoigne
Journal:  J Exp Med       Date:  2013-08-12       Impact factor: 14.307

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  5 in total

1.  Introduction to modeling viral infections and immunity.

Authors:  Alan S Perelson; Ruy M Ribeiro
Journal:  Immunol Rev       Date:  2018-09       Impact factor: 12.988

Review 2.  Demystifying the cytokine network: Mathematical models point the way.

Authors:  Penelope A Morel; Robin E C Lee; James R Faeder
Journal:  Cytokine       Date:  2016-12-03       Impact factor: 3.861

3.  Individual heritable differences result in unique cell lymphocyte receptor repertoires of naïve and antigen-experienced cells.

Authors:  Florian Rubelt; Christopher R Bolen; Helen M McGuire; Jason A Vander Heiden; Daniel Gadala-Maria; Mikhail Levin; Ghia M Euskirchen; Murad R Mamedov; Gary E Swan; Cornelia L Dekker; Lindsay G Cowell; Steven H Kleinstein; Mark M Davis
Journal:  Nat Commun       Date:  2016-03-23       Impact factor: 14.919

4.  A QSP Model for Predicting Clinical Responses to Monotherapy, Combination and Sequential Therapy Following CTLA-4, PD-1, and PD-L1 Checkpoint Blockade.

Authors:  Oleg Milberg; Chang Gong; Mohammad Jafarnejad; Imke H Bartelink; Bing Wang; Paolo Vicini; Rajesh Narwal; Lorin Roskos; Aleksander S Popel
Journal:  Sci Rep       Date:  2019-08-02       Impact factor: 4.379

5.  Recognition of Apoptotic Cells by Viruses and Cytolytic Lymphocytes: Target Selection in the Fog of War.

Authors:  David Schwartz; Sujatha Iyengar
Journal:  Viral Immunol       Date:  2020-04       Impact factor: 2.257

  5 in total

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