Literature DB >> 21292990

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

Gennady Bocharov1, Juan Quiel, Tatyana Luzyanina, Hagit Alon, Egor Chiglintsev, Valery Chereshnev, Martin Meier-Schellersheim, William E Paul, Zvi Grossman.   

Abstract

The mechanisms regulating clonal expansion and contraction of T cells in response to immunization remain to be identified. A recent study established that there was a log-linear relation between CD4 T-cell precursor number (PN) and factor of expansion (FE), with a slope of ∼-0.5 over a range of 3-30,000 precursors per mouse. The results suggested inhibition of precursor expansion either by competition for specific antigen-presenting cells or by the action of other antigen-specific cells in the same microenvironment as the most likely explanation. Several molecular mechanisms potentially accounting for such inhibition were examined and rejected. Here we adopt a previously proposed concept, "feedback-regulated balance of growth and differentiation," and show that it can explain the observed findings. We assume that the most differentiated effectors (or memory cells) limit the growth of less differentiated effectors, locally, by increasing the rate of differentiation of the latter cells in a dose-dependent manner. Consequently, expansion is blocked and reversed after a delay that depends on initial PN, accounting for the dependence of the peak of the response on that number. We present a parsimonious mathematical model capable of reproducing immunization response kinetics. Model definition is achieved in part by requiring consistency with available BrdU-labeling and carboxyfluorescein diacetate succinimidyl ester (CFSE)-dilution data. The calibrated model correctly predicts FE as a function of PN. We conclude that feedback-regulated balance of growth and differentiation, although awaiting definite experimental characterization of the hypothetical cells and molecules involved in regulation, can explain the kinetics of CD4 T-cell responses to antigenic stimulation.

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Year:  2011        PMID: 21292990      PMCID: PMC3044411          DOI: 10.1073/pnas.1019706108

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  30 in total

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Review 3.  Modelling viral and immune system dynamics.

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Journal:  Nat Rev Immunol       Date:  2004-05       Impact factor: 53.106

7.  Expansion and contraction of the cytotoxic T lymphocyte response--an optimal control approach.

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8.  Comparing antigen-independent mechanisms of T cell regulation.

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9.  Antigen-stimulated CD4 T-cell expansion is inversely and log-linearly related to precursor number.

Authors:  Juan Quiel; Stephane Caucheteux; Arian Laurence; Nevil J Singh; Gennady Bocharov; Shlomo Z Ben-Sasson; Zvi Grossman; William E Paul
Journal:  Proc Natl Acad Sci U S A       Date:  2011-02-03       Impact factor: 11.205

10.  Underwhelming the immune response: effect of slow virus growth on CD8+-T-lymphocyte responses.

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  21 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-04       Impact factor: 11.205

2.  Antigen-stimulated CD4 T-cell expansion is inversely and log-linearly related to precursor number.

Authors:  Juan Quiel; Stephane Caucheteux; Arian Laurence; Nevil J Singh; Gennady Bocharov; Shlomo Z Ben-Sasson; Zvi Grossman; William E Paul
Journal:  Proc Natl Acad Sci U S A       Date:  2011-02-03       Impact factor: 11.205

3.  Computational modelling of T-cell formation kinetics: output regulated by initial proliferation-linked deferral of developmental competence.

Authors:  Erica Manesso; Vijay Chickarmane; Hao Yuan Kueh; Ellen V Rothenberg; Carsten Peterson
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Journal:  Syst Synth Biol       Date:  2014-04-29

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Journal:  Biophys J       Date:  2014-04-01       Impact factor: 4.033

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Authors:  Ignacio A Rodriguez-Brenes; Natalia L Komarova; Dominik Wodarz
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-14       Impact factor: 11.205

7.  Minimizing the risk of cancer: tissue architecture and cellular replication limits.

Authors:  Ignacio A Rodriguez-Brenes; Dominik Wodarz; Natalia L Komarova
Journal:  J R Soc Interface       Date:  2013-07-03       Impact factor: 4.118

8.  Cellular Hierarchy as a Determinant of Tumor Sensitivity to Chemotherapy.

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Journal:  Cancer Res       Date:  2017-02-24       Impact factor: 12.701

9.  Quantifying T lymphocyte turnover.

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

10.  Antigen-stimulated CD4 T cell expansion can be limited by their grazing of peptide-MHC complexes.

Authors:  Rob J De Boer; Alan S Perelson
Journal:  J Immunol       Date:  2013-04-19       Impact factor: 5.422

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