Literature DB >> 17367338

Modeling T- and B-cell growth and differentiation.

Robin Callard1, Phil Hodgkin.   

Abstract

The control of T- and B-cell proliferation following antigen stimulation lies at the heart of the adaptive immune response. The outcome of a response depends on the number of cells that are activated to go into cycle, the rates at which the cells divide and die, and the number of division cycles the cells undergo. Each of these processes may be under independent control, and the precise outcome of T- or B-cell responses to antigen will depend on how the signals controlling the different events are integrated. In this article, the way different mathematical models in combination with data from carboxyfluorescein diacetate succinamidyl ester (CFSE) experiments can be used to investigate the mechanisms controlling T- and B-cell proliferation is reviewed.

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Year:  2007        PMID: 17367338     DOI: 10.1111/j.1600-065X.2006.00498.x

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


  19 in total

Review 1.  Systems biology in immunology: a computational modeling perspective.

Authors:  Ronald N Germain; Martin Meier-Schellersheim; Aleksandra Nita-Lazar; Iain D C Fraser
Journal:  Annu Rev Immunol       Date:  2011       Impact factor: 28.527

2.  Labelling of mammalian cells for visualisation by MRI.

Authors:  Monique R Bernsen; Amber D Moelker; Piotr A Wielopolski; Sandra T van Tiel; Gabriel P Krestin
Journal:  Eur Radiol       Date:  2009-08-12       Impact factor: 5.315

3.  BCR-induced superoxide negatively regulates B-cell proliferation and T-cell-independent type 2 Ab responses.

Authors:  Sabrina M Richards; Edward A Clark
Journal:  Eur J Immunol       Date:  2009-12       Impact factor: 5.532

4.  Changing face of vaccination in immunocompromised hosts.

Authors:  Daire O'Shea; Lukas A Widmer; Jörg Stelling; Adrian Egli
Journal:  Curr Infect Dis Rep       Date:  2014-09       Impact factor: 3.725

5.  Tax gene expression and cell cycling but not cell death are selected during HTLV-1 infection in vivo.

Authors:  Linda Zane; David Sibon; Lionel Jeannin; Marc Zandecki; Marie-Hélène Delfau-Larue; Antoine Gessain; Olivier Gout; Christiane Pinatel; Agnès Lançon; Franck Mortreux; Eric Wattel
Journal:  Retrovirology       Date:  2010-03-11       Impact factor: 4.602

6.  Development of an isoform-specific gene suppression system: the study of the human Pax-5B transcriptional element.

Authors:  Gilles A Robichaud; Jean-Pierre Perreault; Rodney J Ouellette
Journal:  Nucleic Acids Res       Date:  2008-07-10       Impact factor: 16.971

Review 7.  Regulation of B-cell entry into the cell cycle.

Authors:  Sabrina Richards; Chie Watanabe; Lorna Santos; Andrew Craxton; Edward A Clark
Journal:  Immunol Rev       Date:  2008-08       Impact factor: 12.988

8.  FlowMax: A Computational Tool for Maximum Likelihood Deconvolution of CFSE Time Courses.

Authors:  Maxim Nikolaievich Shokhirev; Alexander Hoffmann
Journal:  PLoS One       Date:  2013-06-27       Impact factor: 3.240

9.  Immunobiological outcomes of repeated chlamydial infection from two models of within-host population dynamics.

Authors:  David M Vickers; Qian Zhang; Nathaniel D Osgood
Journal:  PLoS One       Date:  2009-09-03       Impact factor: 3.240

10.  Thymic development beyond beta-selection requires phosphatidylinositol 3-kinase activation by CXCR4.

Authors:  Michelle L Janas; Gabriele Varano; Kristjan Gudmundsson; Mamiko Noda; Takashi Nagasawa; Martin Turner
Journal:  J Exp Med       Date:  2009-12-28       Impact factor: 14.307

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