dc.contributor.author | Citorik, Robert James | |
dc.contributor.author | Mimee, Mark Kyle | |
dc.contributor.author | Lu, Timothy K | |
dc.date.accessioned | 2016-01-14T17:03:44Z | |
dc.date.available | 2016-01-14T17:03:44Z | |
dc.date.issued | 2014-09 | |
dc.date.submitted | 2014-02 | |
dc.identifier.issn | 1087-0156 | |
dc.identifier.issn | 1546-1696 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/100834 | |
dc.description.abstract | Current antibiotics tend to be broad spectrum, leading to indiscriminate killing of commensal bacteria and accelerated evolution of drug resistance. Here, we use CRISPR-Cas technology to create antimicrobials whose spectrum of activity is chosen by design. RNA-guided nucleases (RGNs) targeting specific DNA sequences are delivered efficiently to microbial populations using bacteriophage or bacteria carrying plasmids transmissible by conjugation. The DNA targets of RGNs can be undesirable genes or polymorphisms, including antibiotic resistance and virulence determinants in carbapenem-resistant Enterobacteriaceae and enterohemorrhagic Escherichia coli. Delivery of RGNs significantly improves survival in a Galleria mellonella infection model. We also show that RGNs enable modulation of complex bacterial populations by selective knockdown of targeted strains based on genetic signatures. RGNs constitute a class of highly discriminatory, customizable antimicrobials that enact selective pressure at the DNA level to reduce the prevalence of undesired genes, minimize off-target effects and enable programmable remodeling of microbiota. | en_US |
dc.description.sponsorship | National Institutes of Health (U.S.) (New Innovator Award 1DP2OD008435) | en_US |
dc.description.sponsorship | National Centers for Systems Biology (U.S.) (Grant 1P50GM098792) | en_US |
dc.description.sponsorship | United States. Defense Threat Reduction Agency (HDTRA1-14-1-0007) | en_US |
dc.description.sponsorship | Massachusetts Institute of Technology. Institute for Soldier Nanotechnologies (W911NF13D0001) | en_US |
dc.description.sponsorship | National Institute of General Medical Sciences (U.S.) (Interdepartmental Biotechnology Training Program 5T32 GM008334) | en_US |
dc.description.sponsorship | Fonds de la recherche en sante du Quebec (Master's Training Award) | en_US |
dc.language.iso | en_US | |
dc.publisher | Nature Publishing Group | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1038/nbt.3011 | 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 | PMC | en_US |
dc.title | Sequence-specific antimicrobials using efficiently delivered RNA-guided nucleases | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Citorik, Robert J, Mark Mimee, and Timothy K Lu. “Sequence-Specific Antimicrobials Using Efficiently Delivered RNA-Guided Nucleases.” Nature Biotechnology 32, no. 11 (September 21, 2014): 1141–1145. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Biological Engineering | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Biology | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Synthetic Biology Center | en_US |
dc.contributor.mitauthor | Citorik, Robert James | en_US |
dc.contributor.mitauthor | Mimee, Mark K. | en_US |
dc.contributor.mitauthor | Lu, Timothy K. | en_US |
dc.relation.journal | Nature Biotechnology | 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 |
dspace.orderedauthors | Citorik, Robert J; Mimee, Mark; Lu, Timothy K | en_US |
dc.identifier.orcid | https://orcid.org/0000-0002-9999-6690 | |
dc.identifier.orcid | https://orcid.org/0000-0002-3083-2671 | |
dc.identifier.orcid | https://orcid.org/0000-0002-6397-5417 | |
mit.license | OPEN_ACCESS_POLICY | en_US |