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Title: Mathematics in modern immunology

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. Here, 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. Furthermore, 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.
Authors:
; ; ;
Publication Date:
Report Number(s):
LA-UR-15-28321
Journal ID: ISSN 2042-8898
Grant/Contract Number:
AC52-06NA25396
Type:
Accepted Manuscript
Journal Name:
Interface Focus
Additional Journal Information:
Journal Volume: 6; Journal Issue: 2; Journal ID: ISSN 2042-8898
Publisher:
Royal Society
Research Org:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; 60 APPLIED LIFE SCIENCES; mathematical modelling; immunology; T cell; two-photon microscopy; T-cell receptor; diversity
OSTI Identifier:
1335614

Castro, Mario, Lythe, Grant, Molina-París, Carmen, and Ribeiro, Ruy M. Mathematics in modern immunology. United States: N. p., Web. doi:10.1098/rsfs.2015.0093.
Castro, Mario, Lythe, Grant, Molina-París, Carmen, & Ribeiro, Ruy M. Mathematics in modern immunology. United States. doi:10.1098/rsfs.2015.0093.
Castro, Mario, Lythe, Grant, Molina-París, Carmen, and Ribeiro, Ruy M. 2016. "Mathematics in modern immunology". United States. doi:10.1098/rsfs.2015.0093. https://www.osti.gov/servlets/purl/1335614.
@article{osti_1335614,
title = {Mathematics in modern immunology},
author = {Castro, Mario and Lythe, Grant and Molina-París, Carmen and Ribeiro, Ruy M.},
abstractNote = {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. Here, 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. Furthermore, 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.},
doi = {10.1098/rsfs.2015.0093},
journal = {Interface Focus},
number = 2,
volume = 6,
place = {United States},
year = {2016},
month = {2}
}