tetano
Editor, Senior Moderator
Curr Opin Virol. 2014 Apr 22;6C:47-54. doi: 10.1016/j.coviro.2014.03.008. [Epub ahead of print]
Systems biology and systems genetics-novel innovative approaches to study host-pathogen interactions during influenza infection.
Kollmus H1, Wilk E1, Schughart K2.
Author information
Abstract
Influenza represents a serious threat to public health with thousands of deaths each year. A deeper understanding of the host-pathogen interactions is urgently needed to evaluate individual and population risks for severe influenza disease and to identify new therapeutic targets. Here, we review recent progress in large scale omics technologies, systems genetics as well as new mathematical and computational developments that are now in place to apply a systems biology approach for a comprehensive description of the multidimensional host response to influenza infection. In addition, we describe how results from experimental animal models can be translated to humans, and we discuss some of the future challenges ahead.
Copyright ? 2014 The Authors. Published by Elsevier B.V. All rights reserved.
PMID:
24769047
[PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/24769047
Systems biology and systems genetics-novel innovative approaches to study host-pathogen interactions during influenza infection.
Kollmus H1, Wilk E1, Schughart K2.
Author information
Abstract
Influenza represents a serious threat to public health with thousands of deaths each year. A deeper understanding of the host-pathogen interactions is urgently needed to evaluate individual and population risks for severe influenza disease and to identify new therapeutic targets. Here, we review recent progress in large scale omics technologies, systems genetics as well as new mathematical and computational developments that are now in place to apply a systems biology approach for a comprehensive description of the multidimensional host response to influenza infection. In addition, we describe how results from experimental animal models can be translated to humans, and we discuss some of the future challenges ahead.
Copyright ? 2014 The Authors. Published by Elsevier B.V. All rights reserved.
PMID:
24769047
[PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/24769047