Ke Wang, Siqian Liu, Shuqi Zhou, Aori Qileng, Dingyi Wang, Yingju Liu, Chunlai Chen, Chunyang Lei, Zhou Nie
{"title":"用于可现场部署的无细胞生物传感的配体反应性人工蛋白质-蛋白质通信。","authors":"Ke Wang, Siqian Liu, Shuqi Zhou, Aori Qileng, Dingyi Wang, Yingju Liu, Chunlai Chen, Chunyang Lei, Zhou Nie","doi":"10.1002/anie.202416671","DOIUrl":null,"url":null,"abstract":"<p><p>Natural protein-protein communications, such as those between transcription factors (TFs) and RNA polymerases/ribosomes, underpin cell-free biosensing systems operating on the transcription/translation (TXTL) paradigm. However, their deployment in field analysis is hampered by the delayed response (hour-level) and the complex composition of in vitro TXTL systems. For this purpose, we present a de novo-designed ligand-responsive artificial protein-protein communication (LIRAC) by redefining the connection between TFs and non-interacting CRISPR/Cas enzymes. By rationally designing a chimeric DNA adaptor and precisely regulating its binding affinities to both proteins, LIRAC immediately transduces target-induced TF allostery into rapid CRISPR/Cas enzyme activation within a homogenous system. Consequently, LIRAC obviates the need for RNA/protein biosynthesis inherent to conventional TXTL-based cell-free systems, substantially reducing reaction complexity and time (from hours to 10 minutes) with improved sensitivity and tunable dynamic range. Moreover, LIRAC exhibits excellent versatility and programmability for rapidly and sensitively detecting diverse contaminants, including antibiotics, heavy metal ions, and preservatives. It also enables the creation of a multi-protein communication-based tristate logic for the intelligent detection of multiple contaminants. Integrated with portable devices, LIRAC has been proven effective in the field analysis of environmental samples and personal care products, showcasing its potential for environmental and health monitoring.</p>","PeriodicalId":125,"journal":{"name":"Angewandte Chemie International Edition","volume":" ","pages":"e202416671"},"PeriodicalIF":16.1000,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ligand-Responsive Artificial Protein-Protein Communication for Field-Deployable Cell-Free Biosensing.\",\"authors\":\"Ke Wang, Siqian Liu, Shuqi Zhou, Aori Qileng, Dingyi Wang, Yingju Liu, Chunlai Chen, Chunyang Lei, Zhou Nie\",\"doi\":\"10.1002/anie.202416671\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Natural protein-protein communications, such as those between transcription factors (TFs) and RNA polymerases/ribosomes, underpin cell-free biosensing systems operating on the transcription/translation (TXTL) paradigm. However, their deployment in field analysis is hampered by the delayed response (hour-level) and the complex composition of in vitro TXTL systems. For this purpose, we present a de novo-designed ligand-responsive artificial protein-protein communication (LIRAC) by redefining the connection between TFs and non-interacting CRISPR/Cas enzymes. By rationally designing a chimeric DNA adaptor and precisely regulating its binding affinities to both proteins, LIRAC immediately transduces target-induced TF allostery into rapid CRISPR/Cas enzyme activation within a homogenous system. Consequently, LIRAC obviates the need for RNA/protein biosynthesis inherent to conventional TXTL-based cell-free systems, substantially reducing reaction complexity and time (from hours to 10 minutes) with improved sensitivity and tunable dynamic range. Moreover, LIRAC exhibits excellent versatility and programmability for rapidly and sensitively detecting diverse contaminants, including antibiotics, heavy metal ions, and preservatives. It also enables the creation of a multi-protein communication-based tristate logic for the intelligent detection of multiple contaminants. 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Ligand-Responsive Artificial Protein-Protein Communication for Field-Deployable Cell-Free Biosensing.
Natural protein-protein communications, such as those between transcription factors (TFs) and RNA polymerases/ribosomes, underpin cell-free biosensing systems operating on the transcription/translation (TXTL) paradigm. However, their deployment in field analysis is hampered by the delayed response (hour-level) and the complex composition of in vitro TXTL systems. For this purpose, we present a de novo-designed ligand-responsive artificial protein-protein communication (LIRAC) by redefining the connection between TFs and non-interacting CRISPR/Cas enzymes. By rationally designing a chimeric DNA adaptor and precisely regulating its binding affinities to both proteins, LIRAC immediately transduces target-induced TF allostery into rapid CRISPR/Cas enzyme activation within a homogenous system. Consequently, LIRAC obviates the need for RNA/protein biosynthesis inherent to conventional TXTL-based cell-free systems, substantially reducing reaction complexity and time (from hours to 10 minutes) with improved sensitivity and tunable dynamic range. Moreover, LIRAC exhibits excellent versatility and programmability for rapidly and sensitively detecting diverse contaminants, including antibiotics, heavy metal ions, and preservatives. It also enables the creation of a multi-protein communication-based tristate logic for the intelligent detection of multiple contaminants. Integrated with portable devices, LIRAC has been proven effective in the field analysis of environmental samples and personal care products, showcasing its potential for environmental and health monitoring.
期刊介绍:
Angewandte Chemie, a journal of the German Chemical Society (GDCh), maintains a leading position among scholarly journals in general chemistry with an impressive Impact Factor of 16.6 (2022 Journal Citation Reports, Clarivate, 2023). Published weekly in a reader-friendly format, it features new articles almost every day. Established in 1887, Angewandte Chemie is a prominent chemistry journal, offering a dynamic blend of Review-type articles, Highlights, Communications, and Research Articles on a weekly basis, making it unique in the field.