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dc.contributor.authorShapiro, Rebecca S.
dc.contributor.authorChavez, Alejandro
dc.contributor.authorPorter, Caroline B. M.
dc.contributor.authorHamblin, Meagan
dc.contributor.authorKaas, Christian S.
dc.contributor.authorDiCarlo, James E.
dc.contributor.authorZeng, Guisheng
dc.contributor.authorXu, Xiaoli
dc.contributor.authorRevtovich, Alexey V.
dc.contributor.authorKirienko, Natalia V.
dc.contributor.authorWang, Yue
dc.contributor.authorChurch, George M.
dc.contributor.authorCollins, James J.
dc.date.accessioned2018-08-28T15:42:50Z
dc.date.available2018-08-28T15:42:50Z
dc.date.issued2017-10
dc.date.submitted2017-06
dc.identifier.issn2058-5276
dc.identifier.urihttp://hdl.handle.net/1721.1/117583
dc.description.abstractCandida albicans is the leading cause of fungal infections; yet, complex genetic interaction analysis remains cumbersome in this diploid pathogen. Here, we developed a CRISPR-Cas9-based 'gene drive array' platform to facilitate efficient genetic analysis in C. albicans. In our system, a modified DNA donor molecule acts as a selfish genetic element, replaces the targeted site and propagates to replace additional wild-type loci. Using mating-competent C. albicans haploids, each carrying a different gene drive disabling a gene of interest, we are able to create diploid strains that are homozygous double-deletion mutants. We generate double-gene deletion libraries to demonstrate this technology, targeting antifungal efflux and biofilm adhesion factors. We screen these libraries to identify virulence regulators and determine how genetic networks shift under diverse conditions. This platform transforms our ability to perform genetic interaction analysis in C. albicans and is readily extended to other fungal pathogens.en_US
dc.description.sponsorshipNational Human Genome Research Institute (U.S.) (Grant RM1HG008525)en_US
dc.publisherNature Publishing Groupen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/S41564-017-0043-0en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourcePMCen_US
dc.titleA CRISPR–Cas9-based gene drive platform for genetic interaction analysis in Candida albicansen_US
dc.typeArticleen_US
dc.identifier.citationShapiro, Rebecca S. et al. “A CRISPR–Cas9-Based Gene Drive Platform for Genetic Interaction Analysis in Candida Albicans.” Nature Microbiology 3, 1 (October 2017): 73–82 © 2017 The Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Science
dc.contributor.departmentMassachusetts Institute of Technology. Synthetic Biology Center
dc.relation.journalNature Microbiologyen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-08-27T18:19:02Z
dspace.orderedauthorsShapiro, Rebecca S.; Chavez, Alejandro; Porter, Caroline B. M.; Hamblin, Meagan; Kaas, Christian S.; DiCarlo, James E.; Zeng, Guisheng; Xu, Xiaoli; Revtovich, Alexey V.; Kirienko, Natalia V.; Wang, Yue; Church, George M.; Collins, James J.en_US
dspace.embargo.termsNen_US
mit.licensePUBLISHER_POLICYen_US


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