Systems approaches towards molecular profiling of human immunity

Burel, Julie G., Apte, Simon H. and Doolan, Denise L. (2016) Systems approaches towards molecular profiling of human immunity. Trends in Immunology, 37 1: 53-67. doi:10.1016/j.it.2015.11.006


Author Burel, Julie G.
Apte, Simon H.
Doolan, Denise L.
Title Systems approaches towards molecular profiling of human immunity
Journal name Trends in Immunology   Check publisher's open access policy
ISSN 1471-4981
1471-4906
Publication date 2016-01-01
Year available 2015
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1016/j.it.2015.11.006
Open Access Status Not Open Access
Volume 37
Issue 1
Start page 53
End page 67
Total pages 15
Place of publication Kidlington, Oxford, United Kingdom
Publisher Elsevier
Language eng
Abstract Systems immunology integrates cutting-edge technologies with bioinformatics to comprehensively interrogate the immune response to infection at an organismal level. Here, we review studies that have leveraged transcriptomic, genomic, proteomic, and metabolomic approaches towards the identification of cells, molecules, and pathways implicated in host–pathogen interactions. We discuss the potential of single cell technologies for the study of human immune responses and, in this context, we advocate that systems immunology provides a conceptual and methodological framework to harness these approaches to address longstanding questions of fundamental and applied immunology. Recognizing that the field is still in its infancy, we also discuss current limitations of systems immunology, as well as the need for validation of key findings for the discipline to fulfill its promise.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes Published online 5 December 2015

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collections: Official 2016 Collection
School of Medicine Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 6 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 5 times in Scopus Article | Citations
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