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Semin Immunol DOI:10.1016/j.smim.2012.11.003

Human systems immunology: hypothesis-based modeling and unbiased data-driven approaches.

Publication TypeJournal Article
Year of Publication2013
AuthorsArazi, A, Pendergraft, WF, Ribeiro, RM, Perelson, AS, Hacohen, N
JournalSemin Immunol
Volume25
Issue3
Pages193-200
Date Published2013 Oct 31
ISSN1096-3618
KeywordsAllergy and Immunology, Autoimmune Diseases, Evidence-Based Medicine, Humans, Immune System, Models, Biological, Systems Biology, Virus Diseases
Abstract

Systems immunology is an emerging paradigm that aims at a more systematic and quantitative understanding of the immune system. Two major approaches have been utilized to date in this field: unbiased data-driven modeling to comprehensively identify molecular and cellular components of a system and their interactions; and hypothesis-based quantitative modeling to understand the operating principles of a system by extracting a minimal set of variables and rules underlying them. In this review, we describe applications of the two approaches to the study of viral infections and autoimmune diseases in humans, and discuss possible ways by which these two approaches can synergize when applied to human immunology.

URLhttp://linkinghub.elsevier.com/retrieve/pii/S1044-5323(12)00105-4
DOI10.1016/j.smim.2012.11.003
Pubmed

http://www.ncbi.nlm.nih.gov/pubmed/23375135?dopt=Abstract

Alternate JournalSemin. Immunol.
PubMed ID23375135
PubMed Central IDPMC3836867
Grant ListR01 OD011095 / OD / NIH HHS / United States
AI028433 / AI / NIAID NIH HHS / United States
R37 AI028433 / AI / NIAID NIH HHS / United States
P20 GM103452 / GM / NIGMS NIH HHS / United States
R01 AI028433 / AI / NIAID NIH HHS / United States
F32 DK097891 / DK / NIDDK NIH HHS / United States
R01 RR006555 / RR / NCRR NIH HHS / United States
P20 RR018754 / RR / NCRR NIH HHS / United States
DP2 OD002230 / OD / NIH HHS / United States
P50 HG006193 / HG / NHGRI NIH HHS / United States
RC2 GM093080 / GM / NIGMS NIH HHS / United States
HHSN272201000055C / / PHS HHS / United States
OD011095 / OD / NIH HHS / United States
P20-RR018754 / RR / NCRR NIH HHS / United States
GM093080 / GM / NIGMS NIH HHS / United States
U01 AI074575 / AI / NIAID NIH HHS / United States
HHSN272201000055C / AI / NIAID NIH HHS / United States