dc.contributor.author | Kaminski, Michael M. | |
dc.contributor.author | Abudayyeh, Omar O. | |
dc.contributor.author | Gootenberg, Jonathan S | |
dc.contributor.author | Zhang, Feng | |
dc.contributor.author | Collins, James J. | |
dc.date.accessioned | 2021-09-24T18:14:32Z | |
dc.date.available | 2021-09-24T18:14:32Z | |
dc.date.issued | 2021-07 | |
dc.date.submitted | 2020-10 | |
dc.identifier.issn | 2157-846X | |
dc.identifier.uri | https://hdl.handle.net/1721.1/132635 | |
dc.description.abstract | The accurate and timely diagnosis of disease is a prerequisite for efficient therapeutic intervention and epidemiological surveillance. Diagnostics based on the detection of nucleic acids are among the most sensitive and specific, yet most such assays require costly equipment and trained personnel. Recent developments in diagnostic technologies, in particular those leveraging clustered regularly interspaced short palindromic repeats (CRISPR), aim to enable accurate testing at home, at the point of care and in the field. In this Review, we provide a rundown of the rapidly expanding toolbox for CRISPR-based diagnostics, in particular the various assays, preamplification strategies and readouts, and highlight their main applications in the sensing of a wide range of molecular targets relevant to human health. | en_US |
dc.language.iso | en | |
dc.publisher | Springer Science and Business Media LLC | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1038/s41551-021-00760-7 | en_US |
dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
dc.source | Prof. Collins | en_US |
dc.title | CRISPR-based diagnostics | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Kaminski, Michael M. et al. "CRISPR-based diagnostics." Nature Biomedical Engineering 5, 7 (July 2021): 643–656. © 2021 Springer Nature Limited | en_US |
dc.contributor.department | McGovern Institute for Brain Research at MIT | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Biological Engineering | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Institute for Medical Engineering & Science | en_US |
dc.relation.journal | Nature Biomedical Engineering | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2021-09-24T16:34:10Z | |
dspace.orderedauthors | Kaminski, MM; Abudayyeh, OO; Gootenberg, JS; Zhang, F; Collins, JJ | en_US |
dspace.date.submission | 2021-09-24T16:34:11Z | |
mit.journal.volume | 5 | en_US |
mit.journal.issue | 7 | en_US |
mit.license | OPEN_ACCESS_POLICY | |
mit.metadata.status | Complete | en_US |