Literature DB >> 25136383

Mechanisms of cell division as regulators of acute immune response.

Andrey Kan1, Philip D Hodgkin1.   

Abstract

The acute adaptive immune response is complex, proceeding through phases of activation of quiescent lymphocytes, rapid expansion by cell division and cell differentiation, cessation of division and eventual death of greater than 95 % of the newly generated population. Control of the response is not central but appears to operate as a distributed process where global patterns reliably emerge as a result of collective behaviour of a large number of autonomous cells. In this review, we highlight evidence that competing intracellular timed processes underlie the distribution of individual fates and control cell proliferation, cessation and loss. These principles can be captured in a mathematical model to illustrate consistency with previously published experimentally observed data.

Keywords:  B lymphocytes; Cell division; Immune regulation; Mathematical modelling

Year:  2014        PMID: 25136383      PMCID: PMC4127173          DOI: 10.1007/s11693-014-9149-3

Source DB:  PubMed          Journal:  Syst Synth Biol        ISSN: 1872-5325


  26 in total

1.  Evidence from the generation of immunoglobulin G-secreting cells that stochastic mechanisms regulate lymphocyte differentiation.

Authors:  Jhagvaral Hasbold; Lynn M Corcoran; David M Tarlinton; Stuart G Tangye; Philip D Hodgkin
Journal:  Nat Immunol       Date:  2003-11-30       Impact factor: 25.606

Review 2.  Intracellular competition for fates in the immune system.

Authors:  Ken R Duffy; Philip D Hodgkin
Journal:  Trends Cell Biol       Date:  2012-06-21       Impact factor: 20.808

3.  Determining the expected variability of immune responses using the cyton model.

Authors:  Vijay G Subramanian; Ken R Duffy; Marian L Turner; Philip D Hodgkin
Journal:  J Math Biol       Date:  2007-11-03       Impact factor: 2.259

4.  A single-cell pedigree analysis of alternative stochastic lymphocyte fates.

Authors:  E D Hawkins; J F Markham; L P McGuinness; P D Hodgkin
Journal:  Proc Natl Acad Sci U S A       Date:  2009-07-24       Impact factor: 11.205

5.  Quantitative regulation of B cell division destiny by signal strength.

Authors:  Marian L Turner; Edwin D Hawkins; Philip D Hodgkin
Journal:  J Immunol       Date:  2008-07-01       Impact factor: 5.422

6.  Feedback regulation of proliferation vs. differentiation rates explains the dependence of CD4 T-cell expansion on precursor number.

Authors:  Gennady Bocharov; Juan Quiel; Tatyana Luzyanina; Hagit Alon; Egor Chiglintsev; Valery Chereshnev; Martin Meier-Schellersheim; William E Paul; Zvi Grossman
Journal:  Proc Natl Acad Sci U S A       Date:  2011-02-03       Impact factor: 11.205

7.  The effect of correlations on the population dynamics of lymphocytes.

Authors:  C Wellard; J Markham; E D Hawkins; P D Hodgkin
Journal:  J Theor Biol       Date:  2010-02-19       Impact factor: 2.691

Review 8.  T cell-dependent B cell activation.

Authors:  D C Parker
Journal:  Annu Rev Immunol       Date:  1993       Impact factor: 28.527

9.  Plasma cell ontogeny defined by quantitative changes in blimp-1 expression.

Authors:  Axel Kallies; Jhagvaral Hasbold; David M Tarlinton; Wendy Dietrich; Lynn M Corcoran; Philip D Hodgkin; Stephen L Nutt
Journal:  J Exp Med       Date:  2004-10-18       Impact factor: 14.307

10.  Mechanism of thymus-independent immunocyte triggering. Mitogenic activation of B cells results in specific immune responses.

Authors:  A Coutinho; E Gronowicz; W W Bullock; G Möller
Journal:  J Exp Med       Date:  1974-01-01       Impact factor: 14.307

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  4 in total

Review 1.  Neuropeptide substance P and the immune response.

Authors:  Alireza Mashaghi; Anna Marmalidou; Mohsen Tehrani; Peter M Grace; Charalabos Pothoulakis; Reza Dana
Journal:  Cell Mol Life Sci       Date:  2016-06-17       Impact factor: 9.261

2.  B cells expressing IL-10 mRNA modulate memory T cells after DNA-Hsp65 immunization.

Authors:  I C Fontoura; A P F Trombone; L P Almeida; J C C Lorenzi; R A M Rossetti; T Malardo; E Padilha; W Schluchting; R L L Silva; A F Gembre; J E C Fiuza; C L Silva; A Panunto-Castelo; A A M Coelho-Castelo
Journal:  Braz J Med Biol Res       Date:  2015-09-18       Impact factor: 2.590

3.  Machine learning approach yields epigenetic biomarkers of food allergy: A novel 13-gene signature to diagnose clinical reactivity.

Authors:  Ayush Alag
Journal:  PLoS One       Date:  2019-06-19       Impact factor: 3.240

4.  Contrasting effects of acute and chronic stress on the transcriptome, epigenome, and immune response of Atlantic salmon.

Authors:  Tamsyn M Uren Webster; Deiene Rodriguez-Barreto; Samuel A M Martin; Cock Van Oosterhout; Pablo Orozco-terWengel; Joanne Cable; Alastair Hamilton; Carlos Garcia De Leaniz; Sofia Consuegra
Journal:  Epigenetics       Date:  2018-12-13       Impact factor: 4.528

  4 in total

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