1. A platform for post-translational spatiotemporal control of cellular proteins
- Author
-
Laura Segatori, Santiago Martinez Legaspi, Brianna E K Jayanthi, Bhagyashree Bachhav, and Zengyi Wan
- Subjects
Computer science ,AcademicSubjects/SCI00010 ,Biomedical Engineering ,Bioengineering ,Computational biology ,localization ,Biomaterials ,03 medical and health sciences ,0302 clinical medicine ,Synthetic gene ,Process information ,orthogonal protein regulation ,Cellular proteins ,030304 developmental biology ,degradation ,0303 health sciences ,Protein function ,mammalian genetic circuits ,Subcellular localization ,Agricultural and Biological Sciences (miscellaneous) ,Protein subcellular localization prediction ,nanobody ,Post translational ,030217 neurology & neurosurgery ,Biotechnology ,Research Article - Abstract
Mammalian cells process information through coordinated spatiotemporal regulation of proteins. Engineering cellular networks thus relies on efficient tools for regulating protein levels in specific subcellular compartments. To address the need to manipulate the extent and dynamics of protein localization, we developed a platform technology for the target-specific control of protein destination. This platform is based on bifunctional molecules comprising a target-specific nanobody and universal sequences determining target subcellular localization or degradation rate. We demonstrate that nanobody-mediated localization depends on the expression level of the target and the nanobody, and the extent of target subcellular localization can be regulated by combining multiple target-specific nanobodies with distinct localization or degradation sequences. We also show that this platform for nanobody-mediated target localization and degradation can be regulated transcriptionally and integrated within orthogonal genetic circuits to achieve the desired temporal control over spatial regulation of target proteins. The platform reported in this study provides an innovative tool to control protein subcellular localization, which will be useful to investigate protein function and regulate large synthetic gene circuits.
- Published
- 2021