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B Cell Activation Triggered by the Formation of the Small Receptor Cluster: A Computational Study

Overview of attention for article published in PLoS Computational Biology, October 2011
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Title
B Cell Activation Triggered by the Formation of the Small Receptor Cluster: A Computational Study
Published in
PLoS Computational Biology, October 2011
DOI 10.1371/journal.pcbi.1002197
Pubmed ID
Authors

Beata Hat, Bogdan Kazmierczak, Tomasz Lipniacki

Abstract

We proposed a spatially extended model of early events of B cell receptors (BCR) activation, which is based on mutual kinase-receptor interactions that are characteristic for the immune receptors and the Src family kinases. These interactions lead to the positive feedback which, together with two nonlinearities resulting from the double phosphorylation of receptors and Michaelis-Menten dephosphorylation kinetics, are responsible for the system bistability. We demonstrated that B cell can be activated by a formation of a tiny cluster of receptors or displacement of the nucleus. The receptors and Src kinases are activated, first locally, in the locus of the receptor cluster or the region where the cytoplasm is the thinnest. Then the traveling wave of activation propagates until activity spreads over the whole cell membrane. In the models in which we assume that the kinases are free to diffuse in the cytoplasm, we found that the fraction of aggregated receptors, capable to initiate B cell activation decreases with the decreasing thickness of cytoplasm and decreasing kinase diffusion. When kinases are restricted to the cell membrane - which is the case for most of the Src family kinases - even a cluster consisting of a tiny fraction of total receptors becomes activatory. Interestingly, the system remains insensitive to the modest changes of total receptor level. The model provides a plausible mechanism of B cells activation due to the formation of small receptors clusters collocalized by binding of polyvalent antigens or arising during the immune synapse formation.

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Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 3%
Czechia 1 3%
Unknown 28 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 37%
Student > Ph. D. Student 8 27%
Professor 2 7%
Student > Master 2 7%
Student > Bachelor 1 3%
Other 2 7%
Unknown 4 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 43%
Biochemistry, Genetics and Molecular Biology 2 7%
Engineering 2 7%
Medicine and Dentistry 2 7%
Immunology and Microbiology 2 7%
Other 3 10%
Unknown 6 20%