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dc.contributor.authorXu, Liyi
dc.contributor.authorBrito, Ilana Lauren
dc.contributor.authorAlm, Eric J
dc.contributor.authorBlainey, Paul C
dc.date.accessioned2017-02-23T18:21:59Z
dc.date.available2017-02-23T18:21:59Z
dc.date.issued2016-08
dc.date.submitted2016-02
dc.identifier.issn1548-7091
dc.identifier.issn1548-7105
dc.identifier.urihttp://hdl.handle.net/1721.1/107124
dc.description.abstractWe have developed hydrogel-based virtual microfluidics as a simple and robust alternative to complex engineered microfluidic systems for the compartmentalization of nucleic acid amplification reactions. We applied in-gel digital multiple displacement amplification (dMDA) to purified DNA templates, cultured bacterial cells and human microbiome samples in the virtual microfluidics system, and demonstrated whole-genome sequencing of single-cell MDA products with excellent coverage uniformity and markedly reduced chimerism compared with products of liquid MDA reactions.en_US
dc.description.sponsorshipBroad Institute of MIT and Harvard (Lawrence Summers Fellowship)en_US
dc.description.sponsorshipBurroughs Wellcome Fund (Career Award)en_US
dc.description.sponsorshipMassachusetts Institute of Technology. Center for Microbiome Informatics and Therapeuticsen_US
dc.description.sponsorshipNational Human Genome Research Institute (U.S.) (Broad Institute of MIT and Harvard. Grant U54HG003067)en_US
dc.description.sponsorshipMassachusetts Institute of Technology. Center for Environmental Health Sciencesen_US
dc.description.sponsorshipFiji. Ministry of Healthen_US
dc.language.isoen_US
dc.publisherNature Publishing Groupen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/nmeth.3955en_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.titleVirtual microfluidics for digital quantification and single-cell sequencingen_US
dc.typeArticleen_US
dc.identifier.citationXu, Liyi et al. “Virtual Microfluidics for Digital Quantification and Single-Cell Sequencing.” Nature Methods 13.9 (2016): 759–762.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.mitauthorXu, Liyi
dc.contributor.mitauthorBrito, Ilana Lauren
dc.contributor.mitauthorAlm, Eric J
dc.contributor.mitauthorBlainey, Paul C
dc.relation.journalNature Methodsen_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
dspace.orderedauthorsXu, Liyi; Brito, Ilana L; Alm, Eric J; Blainey, Paul Cen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-6699-2634
dc.identifier.orcidhttps://orcid.org/0000-0001-8294-9364
dc.identifier.orcidhttps://orcid.org/0000-0001-7014-3830
mit.licensePUBLISHER_POLICYen_US


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