Uncovering complex molecular networks in host–pathogen interactions using systems biology. Issue 4 (14th May 2019)

• Record Type: Journal Article
• Authors: Peters, Joshua M.; Solomon, Sydney L.; Itoh, Christopher Y.; Bryson, Bryan D.
• Editors: Pellegrini, Matteo
• Is Part Of: Emerging topics in life sciences. Volume 3:Issue 4(2019)
• Page Start: 371
• Page End: 378
• Publication Date: 2019-05-14
• Subjects: computational biology -- host–pathogen interactions -- systems biology; Life sciences -- Periodicals; 570.5
• DOI: 10.1042/ETLS20180174
• Languages: English
• ISSNs: 2397-8554

Abstract

Abstract: Interactions between pathogens and their hosts can induce complex changes in both host and pathogen states to privilege pathogen survival or host clearance of the pathogen. To determine the consequences of specific host–pathogen interactions, a variety of techniques in microbiology, cell biology, and immunology are available to researchers. Systems biology that enables unbiased measurements of transcriptomes, proteomes, and other biomolecules has become increasingly common in the study of host–pathogen interactions. These approaches can be used to generate novel hypotheses or to characterize the effects of particular perturbations across an entire biomolecular network. With proper experimental design and complementary data analysis tools, high-throughput omics techniques can provide novel insights into the mechanisms that underlie processes from phagocytosis to pathogen immune evasion. Here, we provide an overview of the suite of biochemical approaches for high-throughput analyses of host–pathogen interactions, analytical frameworks for understanding the resulting datasets, and a vision for the future of this exciting field.