Literature DB >> 18566403

Quantitative regulation of B cell division destiny by signal strength.

Marian L Turner1, Edwin D Hawkins, Philip D Hodgkin.   

Abstract

Differentiation to Ab secreting and isotype-switched effector cells is tightly linked to cell division and therefore the degree of proliferation strongly influences the nature of the immune response. The maximum number of divisions reached, termed the population division destiny, is stochastically distributed in the population and is an important parameter in the quantitative outcome of lymphocyte responses. In this study, we further assessed the variables that regulate B cell division destiny in vitro in response to T cell- and TLR-dependent stimuli. Both the concentration and duration of stimulation were able to regulate the average maximum number of divisions undergone for each stimulus. Notably, a maximum division destiny was reached during provision of repeated saturating stimulation, revealing that an intrinsic limit to proliferation exists even under these conditions. This limit was linked directly to division number rather than time of exposure to stimulation and operated independently of the survival regulation of the cells. These results demonstrate that a B cell population's division destiny is regulable by the stimulatory conditions up to an inherent maximum value. Division destiny is a crucial parameter in regulating the extent of B cell responses and thereby also the nature of the immune response mounted.

Mesh:

Year:  2008        PMID: 18566403     DOI: 10.4049/jimmunol.181.1.374

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.422


  28 in total

Review 1.  Control systems and decision making for antibody production.

Authors:  Christopher C Goodnow; Carola G Vinuesa; Katrina L Randall; Fabienne Mackay; Robert Brink
Journal:  Nat Immunol       Date:  2010-07-20       Impact factor: 25.606

2.  On the impact of correlation between collaterally consanguineous cells on lymphocyte population dynamics.

Authors:  Ken R Duffy; Vijay G Subramanian
Journal:  J Math Biol       Date:  2008-10-28       Impact factor: 2.259

3.  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

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.  The generation of antibody-secreting plasma cells.

Authors:  Stephen L Nutt; Philip D Hodgkin; David M Tarlinton; Lynn M Corcoran
Journal:  Nat Rev Immunol       Date:  2015-02-20       Impact factor: 53.106

6.  Sample path properties of the average generation of a Bellman-Harris process.

Authors:  Gianfelice Meli; Tom S Weber; Ken R Duffy
Journal:  J Math Biol       Date:  2019-05-08       Impact factor: 2.259

Review 7.  Mechanisms of cell division as regulators of acute immune response.

Authors:  Andrey Kan; Philip D Hodgkin
Journal:  Syst Synth Biol       Date:  2014-04-29

8.  Immunology: To affinity and beyond.

Authors:  David M Tarlinton
Journal:  Nature       Date:  2014-05-29       Impact factor: 49.962

9.  Stretched cell cycle model for proliferating lymphocytes.

Authors:  Mark R Dowling; Andrey Kan; Susanne Heinzel; Jie H S Zhou; Julia M Marchingo; Cameron J Wellard; John F Markham; Philip D Hodgkin
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-14       Impact factor: 11.205

10.  Quantifying T lymphocyte turnover.

Authors:  Rob J De Boer; Alan S Perelson
Journal:  J Theor Biol       Date:  2013-01-09       Impact factor: 2.691

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