High-throughput colocalization pipeline quantifies efficacy of mitochondrial targeting signals across different protein types.
Ontology highlight
ABSTRACT: Efficient metabolic engineering and the development of mitochondrial therapeutics often rely upon the specific and strong import of foreign proteins into mitochondria. Fusing a protein to a mitochondria-bound signal peptide is a common method to localize proteins to mitochondria, but this strategy is not universally effective with particular proteins empirically failing to localize. To help overcome this barrier, this work develops a generalizable and open-source framework to design proteins for mitochondrial import and quantify their specific localization. By using a Python-based pipeline to quantitatively assess the colocalization of different proteins previously used for precise genome editing in a high-throughput manner, we reveal signal peptide-protein combinations that localize well
SUBMITTER: Lear SK
PROVIDER: S-EPMC10103990 | biostudies-literature | 2023 Apr
REPOSITORIES: biostudies-literature
ACCESS DATA