Literature DB >> 17367337

Toward a multiscale model of antigen presentation in immunity.

Denise E Kirschner1, Stewart T Chang, Thomas W Riggs, Nicolas Perry, Jennifer J Linderman.   

Abstract

A functioning immune system and the process of antigen presentation in particular encompass events that occur at multiple length and time scales. Despite a wealth of information in the biological literature regarding each of these scales, no single representation synthesizing this information into a model of the overall immune response as it depends on antigen presentation is available. In this article, we outline an approach for integrating information over relevant biological and temporal scales to generate such a representation for major histocompatibility complex class II-mediated antigen presentation. In addition, we begin to address how such models can be used to answer questions about mechanisms of infection and new strategies for treatment and vaccines.

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Year:  2007        PMID: 17367337     DOI: 10.1111/j.1600-065X.2007.00490.x

Source DB:  PubMed          Journal:  Immunol Rev        ISSN: 0105-2896            Impact factor:   12.988


  31 in total

1.  T cell state transition produces an emergent change detector.

Authors:  Peter S Kim; Peter P Lee
Journal:  J Theor Biol       Date:  2011-01-27       Impact factor: 2.691

Review 2.  Modeling the T cell immune response: a fascinating challenge.

Authors:  Penelope A Morel; James R Faeder; William F Hawse; Natasa Miskov-Zivanov
Journal:  J Pharmacokinet Pharmacodyn       Date:  2014-08-26       Impact factor: 2.745

Review 3.  A methodology for performing global uncertainty and sensitivity analysis in systems biology.

Authors:  Simeone Marino; Ian B Hogue; Christian J Ray; Denise E Kirschner
Journal:  J Theor Biol       Date:  2008-04-20       Impact factor: 2.691

4.  A new model for the estimation of cell proliferation dynamics using CFSE data.

Authors:  H T Banks; Karyn L Sutton; W Clayton Thompson; Gennady Bocharov; Marie Doumic; Tim Schenkel; Jordi Argilaguet; Sandra Giest; Cristina Peligero; Andreas Meyerhans
Journal:  J Immunol Methods       Date:  2011-08-24       Impact factor: 2.303

Review 5.  Pairing computation with experimentation: a powerful coupling for understanding T cell signalling.

Authors:  Arup K Chakraborty; Jayajit Das
Journal:  Nat Rev Immunol       Date:  2010-01       Impact factor: 53.106

6.  A review of computational and mathematical modeling contributions to our understanding of Mycobacterium tuberculosis within-host infection and treatment.

Authors:  Denise Kirschner; Elsje Pienaar; Simeone Marino; Jennifer J Linderman
Journal:  Curr Opin Syst Biol       Date:  2017-05-22

7.  A population model capturing dynamics of tuberculosis granulomas predicts host infection outcomes.

Authors:  Chang Gong; Jennifer J Linderman; Denise Kirschner
Journal:  Math Biosci Eng       Date:  2015-06       Impact factor: 2.080

8.  A hybrid multi-compartment model of granuloma formation and T cell priming in tuberculosis.

Authors:  Simeone Marino; Mohammed El-Kebir; Denise Kirschner
Journal:  J Theor Biol       Date:  2011-04-01       Impact factor: 2.691

9.  Agent-based modeling of host-pathogen systems: The successes and challenges.

Authors:  Amy L Bauer; Catherine A A Beauchemin; Alan S Perelson
Journal:  Inf Sci (N Y)       Date:  2009-04-29       Impact factor: 6.795

10.  Identification of key processes that control tumor necrosis factor availability in a tuberculosis granuloma.

Authors:  Mohammad Fallahi-Sichani; Matthew A Schaller; Denise E Kirschner; Steven L Kunkel; Jennifer J Linderman
Journal:  PLoS Comput Biol       Date:  2010-05-06       Impact factor: 4.475

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