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dc.contributor.authorWu, Xiaolin
dc.contributor.authorChan, Cheryl
dc.contributor.authorSprings, Stacy L
dc.contributor.authorLee, Yie Hou
dc.contributor.authorLu, Timothy K
dc.contributor.authorYu, Hanry
dc.date.accessioned2022-07-15T14:54:06Z
dc.date.available2022-07-15T14:54:06Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/1721.1/143766
dc.description.abstractNucleic acids-based molecular diagnostic tools incorporating the CRISPR/Cas system are being developed as rapid and sensitive methods for pathogen detection. However, most CRISPR/Cas-based diagnostics lack quantitative detection ability. Here, we report Warm-Start RApid DIgital Crispr Approach (WS-RADICA) for the rapid, sensitive, and quantitative detection of nucleic acids. WS-RADICA detected as little as 1 copy/μl SARS-CoV-2 RNA in 40 min (qualitative detection) or 60 min (quantitative detection). WS-RADICA can be easily adapted to various digital devices: two digital chips were evaluated for both DNA and RNA quantification, with linear dynamic ranges of 0.8-12777 copies/μL for DNA and 1.2-18391 copies/μL for RNA (both R2 values > 0.99). Moreover, WS-RADICA had lower detection limit and higher inhibitor tolerance than a bulk RT-LAMP-Cas12b reaction and similar performance to RT-qPCR and RT-dPCR. To prove its performance on nucleic acids derived from live virus, WS-RADICA was also validated to detect and quantify human adenovirus and herpes simplex virus. Given its speed, sensitivity, quantification capability, and inhibitor tolerance, WS-RADICA shows great promise for a variety of applications requiring nucleic acid quantification.en_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionof10.1016/J.ACA.2022.339494en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourcebioRxiven_US
dc.titleA warm-start digital CRISPR/Cas-based method for the quantitative detection of nucleic acidsen_US
dc.typeArticleen_US
dc.identifier.citationWu, Xiaolin, Chan, Cheryl, Springs, Stacy L, Lee, Yie Hou, Lu, Timothy K et al. 2022. "A warm-start digital CRISPR/Cas-based method for the quantitative detection of nucleic acids." Analytica Chimica Acta, 1196.
dc.contributor.departmentMassachusetts Institute of Technology. Synthetic Biology Center
dc.contributor.departmentSingapore-MIT Alliance in Research and Technology (SMART)
dc.contributor.departmentMassachusetts Institute of Technology. Synthetic Biology Center
dc.contributor.departmentMassachusetts Institute of Technology. Research Laboratory of Electronics
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineering
dc.relation.journalAnalytica Chimica Actaen_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-07-15T14:43:08Z
dspace.orderedauthorsWu, X; Chan, C; Springs, SL; Lee, YH; Lu, TK; Yu, Hen_US
dspace.date.submission2022-07-15T14:43:09Z
mit.journal.volume1196en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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