Systems-level analysis of innate immunity.
Title | Systems-level analysis of innate immunity. |
Publication Type | Journal Article |
Year of Publication | 2014 |
Authors | Zak DE, Tam VC, Aderem A |
Journal | Annu Rev Immunol |
Volume | 32 |
Pagination | 547-77 |
Date Published | 2014 |
ISSN | 1545-3278 |
Keywords | Animals, Communicable Disease Control, Communicable Diseases, Humans, Immunity, Innate, Systems Biology, Vaccines |
Abstract | Systems-level analysis of biological processes strives to comprehensively and quantitatively evaluate the interactions between the relevant molecular components over time, thereby enabling development of models that can be employed to ultimately predict behavior. Rapid development in measurement technologies (omics), when combined with the accessible nature of the cellular constituents themselves, is allowing the field of innate immunity to take significant strides toward this lofty goal. In this review, we survey exciting results derived from systems biology analyses of the immune system, ranging from gene regulatory networks to influenza pathogenesis and systems vaccinology. |
DOI | 10.1146/annurev-immunol-032713-120254 |
Alternate Journal | Annu. Rev. Immunol. |
PubMed ID | 24655298 |
PubMed Central ID | PMC4084718 |
Grant List | R01 AI032972 / AI / NIAID NIH HHS / United States HHSN272200700038C / / PHS HHS / United States HHSN272200800058C / / PHS HHS / United States R01AI032972 / AI / NIAID NIH HHS / United States U19 AI100627 / AI / NIAID NIH HHS / United States HHSN272200800058C / AI / NIAID NIH HHS / United States R01AI025032 / AI / NIAID NIH HHS / United States R01 AI025032 / AI / NIAID NIH HHS / United States U19AI100627 / AI / NIAID NIH HHS / United States HHSN272200700038C / AI / NIAID NIH HHS / United States U19 AI106761 / AI / NIAID NIH HHS / United States |