Julie Yi-Hsuan Chen, Qing Shi, Xue Peng, Jean de Dieu Habimana, James Wang, William Sobolewski, Andy Hsien-Wei Yeh
{"title":"De novo luciferases enable multiplexed bioluminescence imaging","authors":"Julie Yi-Hsuan Chen, Qing Shi, Xue Peng, Jean de Dieu Habimana, James Wang, William Sobolewski, Andy Hsien-Wei Yeh","doi":"10.1016/j.chempr.2024.10.013","DOIUrl":null,"url":null,"abstract":"We leverage AI-powered <em>de novo</em> protein design to create a new generation of luciferase catalysts, termed the neoLux series, which exhibit superior properties over native luciferases. These features include compact size, robust stability, cofactor independence, efficient cellular expression, higher catalytic efficiency, and unique substrate orthogonality, marking a significant advancement beyond the limitations of native luciferases. Additionally, we computationally designed highly efficient neoLux-fluorescent protein Förster resonance energy transfer (FRET) fusions capable of simultaneous multi-parametric imaging <em>in cellulo</em> and <em>in vivo</em>. Our pioneering approach has created a unified luminescent toolkit to allow for multi-colored tracking of cancer heterogeneity <em>in vivo</em>, paving the way for complex biological discovery.","PeriodicalId":268,"journal":{"name":"Chem","volume":"72 1","pages":""},"PeriodicalIF":19.1000,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chem","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1016/j.chempr.2024.10.013","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
We leverage AI-powered de novo protein design to create a new generation of luciferase catalysts, termed the neoLux series, which exhibit superior properties over native luciferases. These features include compact size, robust stability, cofactor independence, efficient cellular expression, higher catalytic efficiency, and unique substrate orthogonality, marking a significant advancement beyond the limitations of native luciferases. Additionally, we computationally designed highly efficient neoLux-fluorescent protein Förster resonance energy transfer (FRET) fusions capable of simultaneous multi-parametric imaging in cellulo and in vivo. Our pioneering approach has created a unified luminescent toolkit to allow for multi-colored tracking of cancer heterogeneity in vivo, paving the way for complex biological discovery.
期刊介绍:
Chem, affiliated with Cell as its sister journal, serves as a platform for groundbreaking research and illustrates how fundamental inquiries in chemistry and its related fields can contribute to addressing future global challenges. It was established in 2016, and is currently edited by Robert Eagling.