ArticleACS synthetic biology2023
A High-Throughput Colocalization Pipeline for Quantification of Mitochondrial Targeting across Different Protein Types.
Article in ACS synthetic biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Engineering Rhodotorula toruloides as a platform organism for de novo synthesis of fatty-acid esters.Nature communications · 2026Article
- The Matrix of Mitochondrial Imaging: Exploring Spatial Dimensions.Biomolecules · 2025Review
- Advancements in mitochondrial-targeted nanotherapeutics: overcoming biological obstacles and optimizing drug delivery.Frontiers in immunology · 2024Review
Corrections and comments
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Authors and funding
3 authors.
Funding
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. This Python-based pipeline quantitatively assesses the colocalization of different proteins previously used for precise genome editing in a high-throughput manner to reveal signal peptide-protein combinations that localize well in mitochondria.
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Registered trials
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