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dc.contributor.authorWu, Xiaolin
dc.contributor.authorTay, Joshua K
dc.contributor.authorGoh, Chuan Keng
dc.contributor.authorChan, Cheryl
dc.contributor.authorLee, Yie Hou
dc.contributor.authorSprings, Stacy L
dc.contributor.authorWang, De Yun
dc.contributor.authorLoh, Kwok Seng
dc.contributor.authorLu, Timothy K
dc.contributor.authorYu, Hanry
dc.date.accessioned2022-07-15T14:27:40Z
dc.date.available2022-07-15T14:27:40Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/143762
dc.description.abstractRapid diagnostics of adventitious agents in biopharmaceutical/cell manufacturing release testing and the fight against viral infection have become critical. Quantitative real-time PCR and CRISPR-based methods rapidly detect DNA/RNA in 1 h but suffer from inter-site variability. Absolute quantification of DNA/RNA by methods such as digital PCR reduce this variability but are currently too slow for wider application. Here, we report a RApid DIgital Crispr Approach (RADICA) for absolute quantification of nucleic acids in 40-60 min. Using SARS-CoV-2 as a proof-of-concept target, RADICA allows for absolute quantification with a linear dynamic range of 0.6-2027 copies/μL (R2 value > 0.99), high accuracy and low variability, no cross-reactivity to similar targets, and high tolerance to human background DNA. RADICA's versatility is validated against other targets such as Epstein-Barr virus (EBV) from human B cells and patients' serum. RADICA can accurately detect and absolutely quantify EBV DNA with similar dynamic range of 0.5-2100 copies/μL (R2 value > 0.98) in 1 h without thermal cycling, providing a 4-fold faster alternative to digital PCR-based detection. RADICA therefore enables rapid and sensitive absolute quantification of nucleic acids which can be widely applied across clinical, research, and biomanufacturing areas.en_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionof10.1016/J.BIOMATERIALS.2021.120876en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourcemedRxiven_US
dc.titleDigital CRISPR-based method for the rapid detection and absolute quantification of nucleic acidsen_US
dc.typeArticleen_US
dc.identifier.citationWu, Xiaolin, Tay, Joshua K, Goh, Chuan Keng, Chan, Cheryl, Lee, Yie Hou et al. 2021. "Digital CRISPR-based method for the rapid detection and absolute quantification of nucleic acids." Biomaterials, 274.
dc.contributor.departmentSingapore-MIT Alliance in Research and Technology (SMART)
dc.contributor.departmentMassachusetts Institute of Technology. Center for Biomedical Innovation
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.departmentHarvard University--MIT Division of Health Sciences and Technology
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineering
dc.relation.journalBiomaterialsen_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.updated2022-07-15T14:19:37Z
dspace.orderedauthorsWu, X; Tay, JK; Goh, CK; Chan, C; Lee, YH; Springs, SL; Wang, DY; Loh, KS; Lu, TK; Yu, Hen_US
dspace.date.submission2022-07-15T14:19:39Z
mit.journal.volume274en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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