Identifying protein-protein interactions between machine components of bacterial secretion systems and their cognate substrates is central to delineating how the machines operate to translocate their substrates. Further, establishing which among the machine components and their substrates interact with each other facilitates (i) advancement in our understanding of the architecture and assembly of the machines, (ii) understanding the substrates' translocation routes and mechanisms, and (iii) how the machines and the substrates talk to each other. Currently, though diverse biochemical methods exist in identifying direct and indirect protein-protein interactions, they primarily remain in vitro and can be quite labor intensive. They also may capture/exhibit false-positive interactions because of barrier breakdowns as part of methodology. Thus, adopting novel genetic approaches to help visualize the same in vivo can yield quick, advantageous, reliable, and informative protein-protein interactions data. Here, we describe the easily adoptable bimolecular fluorescence complementation and cytology-based two-hybrid assays to understand the bacterial secretions systems.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/978-1-0716-3445-5_16 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!