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Chemotactic Migration of T Cells towards Dendritic Cells Promotes the Detection of Rare Antigens

Overview of attention for article published in PLoS Computational Biology, November 2012
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Title
Chemotactic Migration of T Cells towards Dendritic Cells Promotes the Detection of Rare Antigens
Published in
PLoS Computational Biology, November 2012
DOI 10.1371/journal.pcbi.1002763
Pubmed ID
Authors

Renske M. A. Vroomans, Athanasius F. M. Marée, Rob J. de Boer, Joost B. Beltman

Abstract

In many immunological processes chemoattraction is thought to play a role in guiding cells to their sites of action. However, based on in vivo two-photon microscopy experiments in the absence of cognate antigen, T cell migration in lymph nodes (LNs) has been roughly described as a random walk. Although it has been shown that dendritic cells (DCs) carrying cognate antigen in some circumstances attract T cells chemotactically, it is currently still unclear whether chemoattraction of T cells towards DCs helps or hampers scanning. Chemoattraction towards DCs could on the one hand help T cells to rapidly find DCs. On the other hand, it could be deleterious if DCs become shielded by a multitude of attracted yet non-specific T cells. Results from a recent simulation study suggested that the deleterious effect dominates. We re-addressed the question whether T cell chemoattraction towards DCs is expected to promote or hamper the detection of rare antigens using the Cellular Potts Model, a formalism that allows for dynamic, flexible cellular shapes and cell migration. Our simulations show that chemoattraction of T cells enhances the DC scanning efficiency, leading to an increased probability that rare antigen-specific T cells find DCs carrying cognate antigen. Desensitization of T cells after contact with a DC further improves the scanning efficiency, yielding an almost threefold enhancement compared to random migration. Moreover, the chemotaxis-driven migration still roughly appears as a random walk, hence fine-tuned analysis of cell tracks will be required to detect chemotaxis within microscopy data.

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Geographical breakdown

Country Count As %
Spain 2 2%
United Kingdom 1 1%
Germany 1 1%
Belgium 1 1%
United States 1 1%
Unknown 84 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 29%
Researcher 17 19%
Student > Master 14 16%
Student > Bachelor 10 11%
Professor > Associate Professor 5 6%
Other 11 12%
Unknown 7 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 50%
Computer Science 6 7%
Physics and Astronomy 5 6%
Engineering 5 6%
Immunology and Microbiology 5 6%
Other 15 17%
Unknown 9 10%