4.7 Article

Bottom-Up Design: A Modular Golden Gate Assembly Platform of Yeast Plasmids for Simultaneous Secretion and Surface Display of Distinct FAP Fusion Proteins

期刊

ACS SYNTHETIC BIOLOGY
卷 11, 期 11, 页码 3681-3698

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acssynbio.2c00283

关键词

Golden Gate cloning; fluorogen-activating protein; yeast secrete and display; modular assembly platform yeast vectors; nanobody; target protein domain

资金

  1. National Institutes of Health (NIH)
  2. [1RO1 GM126657-01]

向作者/读者索取更多资源

There is a need in synthetic biology for flexible fully designed vectors to address challenging cloning strategies. This article presents a new method for plasmid synthesis that paves the way for exploring protein interactions.
A need in synthetic biology is the ability to precisely and efficiently make flexible fully designed vectors that addresses challenging cloning strategies of single plasmids that rely on combinatorial co-expression of a multitude of target and bait fusion reporters useful in projects like library screens. For these strategies, the regulatory elements and functional components need to correspond perfectly to project specific sequence elements that facilitate easy exchange of these elements. This requires systematic implementation and building on recent improvements in Golden Gate (GG) that ensures high cloning efficiency for such complex vectors. Currently, this is not addressed in the variety of molecular GG cloning techniques in synthetic biology. Here, we present the bottom-up design and plasmid synthesis to prepare 10 kb functional yeast secrete and display plasmids that uses an optimized version of GG in combination with fluorogen-activating protein reporter technology. This allowed us to demonstrate nanobody/target protein interactions in a single cell, as detected by cell surface retention of secreted target proteins by cognate nanobodies. This validates the GG constructional approach and suggests a new approach for discovering protein interactions. Our GG assembly platform paves the way for vector based library screening and can be used for other recombinant GG platforms.

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