dc.contributor.author | Wu, Xiaolin | |
dc.contributor.author | Chan, Cheryl | |
dc.contributor.author | Springs, Stacy L | |
dc.contributor.author | Lee, Yie Hou | |
dc.contributor.author | Lu, Timothy K | |
dc.contributor.author | Yu, Hanry | |
dc.date.accessioned | 2022-07-15T14:54:06Z | |
dc.date.available | 2022-07-15T14:54:06Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/143766 | |
dc.description.abstract | Nucleic 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.iso | en | |
dc.publisher | Elsevier BV | en_US |
dc.relation.isversionof | 10.1016/J.ACA.2022.339494 | en_US |
dc.rights | Creative Commons Attribution-NonCommercial-NoDerivs License | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.source | bioRxiv | en_US |
dc.title | A warm-start digital CRISPR/Cas-based method for the quantitative detection of nucleic acids | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Wu, 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.department | Massachusetts Institute of Technology. Synthetic Biology Center | |
dc.contributor.department | Singapore-MIT Alliance in Research and Technology (SMART) | |
dc.contributor.department | Massachusetts Institute of Technology. Synthetic Biology Center | |
dc.contributor.department | Massachusetts Institute of Technology. Research Laboratory of Electronics | |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
dc.contributor.department | Massachusetts Institute of Technology. Department of Biological Engineering | |
dc.relation.journal | Analytica Chimica Acta | en_US |
dc.eprint.version | Original manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
dc.date.updated | 2022-07-15T14:43:08Z | |
dspace.orderedauthors | Wu, X; Chan, C; Springs, SL; Lee, YH; Lu, TK; Yu, H | en_US |
dspace.date.submission | 2022-07-15T14:43:09Z | |
mit.journal.volume | 1196 | en_US |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Authority Work and Publication Information Needed | en_US |