Mathematics in modern immunology

被引：19

作者：

Castro, Mario ^{[1
]}

Lythe, Grant ^{[2
]}

Molina-Paris, Carmen ^{[2
]}

Ribeiro, Ruy M. ^{[3
]}

机构：

[1] Univ Pontificia Comillas, E-28015 Madrid, Spain

[2] Univ Leeds, Dept Appl Math, Sch Math, Leeds LS2 9JT, W Yorkshire, England

[3] Los Alamos Natl Lab, Theoret Biol & Biophys, POB 1663, Los Alamos, NM 87545 USA

来源：

INTERFACE FOCUS | 2016年 / 6卷 / 02期

基金：

美国国家卫生研究院; 英国生物技术与生命科学研究理事会;

关键词：

mathematical modelling; immunology; T cell; two-photon microscopy; T-cell receptor; diversity; RECENT THYMIC EMIGRANTS; TCR EXCISION CIRCLES; T-CELL RESPONSE; HIV-1; INFECTION; DENDRITIC CELLS; LYMPH-NODES; TYPE-1; IMMUNE MEMORY; SKIN-RESIDENT; NAIVE;

D O I：

10.1098/rsfs.2015.0093

中图分类号：

Q [生物科学];

学科分类号：

090105 [作物生产系统与生态工程];

摘要：

Mathematical and statistical methods enable multidisciplinary approaches that catalyse discovery. Together with experimental methods, they identify key hypotheses, define measurable observables and reconcile disparate results. We collect a representative sample of studies in T-cell biology that illustrate the benefits of modelling-experimental collaborations and that have proven valuable or even groundbreaking. We conclude that it is possible to find excellent examples of synergy between mathematical modelling and experiment in immunology, which have brought significant insight that would not be available without these collaborations, but that much remains to be discovered.

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页数：14

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