Systems-level interference strategies to decipher host factors involved in bacterial pathogen interaction: from RNAi to CRISPRi
作者： Maxime Québatte , Christoph Dehio
DOI: 10.1016/J.MIB.2017.08.002
关键词: Host factors 、 Computational biology 、 DECIPHER 、 Cell biology 、 RNA interference 、 Functional genomics 、 Biology 、 Pathogen 、 Microbiology (medical) 、 Microbiology 、 Infectious Diseases
摘要: Bacterial pathogen–host cell interactions involve an intricate interplay of multiple components from both partners. Systems level surveys have been used widely to profile host requirements for pathogen infection. Functional genomics, and more specifically genome-wide perturbation screens, constitute attractive methodologies assess such infectomes. Although these strategies successfully identified numerous critical factors, they may failed in generating the high-quality data required systems analysis. This is case most RNA interference (RNAi) setups with their high propensity off-target effects (OTE). However, recent efforts circumvent OTE RNAi-based experiments as well emergence alternative will likely soon allow significant breakthrough understanding bacterial interactions.
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