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作 者:Paul Soudier Daniel Rodriguez Pinzon Tristan Reif-Trauttmansdorff Hassan Hijazi Maeva Cherriere Catia Goncalves Pereira Doriane Blaise Maxime Pispisa Angelyne Saint-Julien William Hamlet Melissa Nguevo Eva Gomes Sophia Belkhelfa Anna Niarakis Manish Kushwaha Ioana Grigoras
机构地区:[1]Evry Paris-Saclay 2020 iGEM team,France [2]Universite Paris-Saclay,INRAE,AgroParisTech,Micalis Institute,78352,Jouy-en-Josas,France [3]Universite Paris-Saclay,Univ Evry,Laboratoire Europeen de Recherche pour la Polyarthrite Rhumatoïde-Genhotel,Evry,France [4]Universite Paris-Saclay,Univ Evry,CNRS,CEA,Genomique Metabolique,Evry,France [5]DNA Script,Le Kremlin-Bicetre,France [6]SYNMIKRO Center of Synthetic Microbiology,Marburg,Germany [7]Universite Grenoble Alpes,CEA,Inserm,EDyP-BGE,Grenoble,France [8]National Institute of Industrial Property(INPI),Courbevoie,France
出 处:《Synthetic and Systems Biotechnology》2022年第2期791-801,共11页合成和系统生物技术(英文)
摘 要:Nucleic acid sensing is a 3 decades old but still challenging area of application for different biological sub-domains,from pathogen detection to single cell transcriptomics analysis.The many applications of nucleic acid detection and identification are mostly carried out by PCR techniques,sequencing,and their derivatives used at large scale.However,these methods’limitations on speed,cost,complexity and specificity have motivated the development of innovative detection methods among which nucleic acid biosensing technologies seem promising.Toehold switches are a particular class of RNA sensing devices relying on a conformational switch of secondary structure induced by the pairing of the detected trigger RNA with a de novo designed synthetic sensing mRNA molecule.Here we describe a streamlined methodology enabling the development of such a sensor for the RNA-mediated detection of an endangered plant species in a cell-free reaction system.We applied this methodology to help identify the rosewood Dalbergia maritima,a highly trafficked wood,whose protection is limited by the capacity of the authorities to distinguish protected logs from other unprotected but related species.The streamlined pipeline presented in this work is a versatile framework enabling cheap and rapid development of new sensors for custom RNA detection.
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