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Application of cell-free transcription and translation system in CRISPR technologies and the associated biosensors / 生物工程学报
Chinese Journal of Biotechnology ; (12): 86-102, 2023.
Artículo en Chino | WPRIM | ID: wpr-970361
ABSTRACT
Cell-free transcription and translation (TXTL) system is a cell extract-based system for rapid in vitro protein expression. The system bypasses routine laboratory processes such as bacterial transformation, clonal screening and cell lysis, which allows more precise and convenient control of reaction substrates, reduces the impact of bacteria on protein production, and provides a high degree of versatility and flexibility. In recent years, TXTL has been widely used as an emerging platform in clusterd regularly interspaced short palindromic repeat (CRISPR) technologies, enabling more rapid and convenient characterization of CRISPR/Cas systems, including screening highly specific gRNAs as well as anti-CRISPR proteins. Furthermore, TXTL-based CRISPR biosensors combined with biological materials and gene circuits are able to detect pathogens through validation of related antibiotics and nucleic acid-based markers, respectively. The reagents can be freeze-dried to improve portability and achieve point-of-care testing with high sensitivity. In addition, combinations of the sensor with programmable circuit elements and other technologies provide a non-biological alternative to whole-cell biosensors, which can improve biosafety and accelerate its application for approval. Here, this review discusses the TXTL-based characterization of CRISPR and their applications in biosensors, to facilitate the development of TXTL-based CRISPR/Cas systems in biosensors.
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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Asunto principal: Bacterias / Sistemas CRISPR-Cas Idioma: Chino Revista: Chinese Journal of Biotechnology Año: 2023 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Asunto principal: Bacterias / Sistemas CRISPR-Cas Idioma: Chino Revista: Chinese Journal of Biotechnology Año: 2023 Tipo del documento: Artículo