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Cross-species RNA-seq for Deciphering Host-microbe Interactions

Overview
Journal Nat Rev Genet
Specialty Genetics
Date 2021 Feb 18
PMID 33597744
Citations 44
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Abstract

The human body is constantly exposed to microorganisms, which entails manifold interactions between human cells and diverse commensal or pathogenic bacteria. The cellular states of the interacting cells are decisive for the outcome of these encounters such as whether bacterial virulence programmes and host defence or tolerance mechanisms are induced. This Review summarizes how next-generation RNA sequencing (RNA-seq) has become a primary technology to study host-microbe interactions with high resolution, improving our understanding of the physiological consequences and the mechanisms at play. We illustrate how the discriminatory power and sensitivity of RNA-seq helps to dissect increasingly complex cellular interactions in time and space down to the single-cell level. We also outline how future transcriptomics may answer currently open questions in host-microbe interactions and inform treatment schemes for microbial disorders.

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References
1.
Bumann D . Heterogeneous host-pathogen encounters: act locally, think globally. Cell Host Microbe. 2015; 17(1):13-9. DOI: 10.1016/j.chom.2014.12.006. View

2.
Sarkar S, Heise M . Mouse Models as Resources for Studying Infectious Diseases. Clin Ther. 2019; 41(10):1912-1922. PMC: 7112552. DOI: 10.1016/j.clinthera.2019.08.010. View

3.
Barrila J, Crabbe A, Yang J, Franco K, Nydam S, Forsyth R . Modeling Host-Pathogen Interactions in the Context of the Microenvironment: Three-Dimensional Cell Culture Comes of Age. Infect Immun. 2018; 86(11). PMC: 6204695. DOI: 10.1128/IAI.00282-18. View

4.
Colgan A, Cameron A, Kroger C . If it transcribes, we can sequence it: mining the complexities of host-pathogen-environment interactions using RNA-seq. Curr Opin Microbiol. 2017; 36:37-46. DOI: 10.1016/j.mib.2017.01.010. View

5.
Westermann A, Gorski S, Vogel J . Dual RNA-seq of pathogen and host. Nat Rev Microbiol. 2012; 10(9):618-30. DOI: 10.1038/nrmicro2852. View