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dc.contributor.authorAntipov, Eugene
dc.contributor.authorKlibanov, Alexander M.
dc.contributor.authorAgresti, Jeremy J.
dc.contributor.authorAbate, Adam R.
dc.contributor.authorAhn, Keunho
dc.contributor.authorRowat, Amy C.
dc.contributor.authorBaret, Jean-Christophe
dc.contributor.authorMarquez, Manuel
dc.contributor.authorGriffiths, Andrew D.
dc.contributor.authorWeitz, David A.
dc.date.accessioned2011-03-02T18:18:09Z
dc.date.available2011-03-02T18:18:09Z
dc.date.issued2010-02
dc.date.submitted2009-09
dc.identifier.issn0027-8424
dc.identifier.issn1091-6490
dc.identifier.urihttp://hdl.handle.net/1721.1/61376
dc.description.abstractThe explosive growth in our knowledge of genomes, proteomes, and metabolomes is driving ever-increasing fundamental understanding of the biochemistry of life, enabling qualitatively new studies of complex biological systems and their evolution. This knowledge also drives modern biotechnologies, such as molecular engineering and synthetic biology, which have enormous potential to address urgent problems, including developing potent new drugs and providing environmentally friendly energy. Many of these studies, however, are ultimately limited by their need for even-higher-throughput measurements of biochemical reactions. We present a general ultrahigh-throughput screening platform using drop-based microfluidics that overcomes these limitations and revolutionizes both the scale and speed of screening. We use aqueous drops dispersed in oil as picoliter-volume reaction vessels and screen them at rates of thousands per second. To demonstrate its power, we apply the system to directed evolution, identifying new mutants of the enzyme horseradish peroxidase exhibiting catalytic rates more than 10 times faster than their parent, which is already a very efficient enzyme. We exploit the ultrahigh throughput to use an initial purifying selection that removes inactive mutants; we identify ∼100 variants comparable in activity to the parent from an initial population of ∼10 [superscript 7]. After a second generation of mutagenesis and high-stringency screening, we identify several significantly improved mutants, some approaching diffusion-limited efficiency. In total, we screen ∼10 [superscript 8] individual enzyme reactions in only 10 h, using < 150 μL [mu L] of total reagent volume; compared to state-of-the-art robotic screening systems, we perform the entire assay with a 1,000-fold increase in speed and a 1-million-fold reduction in cost.en_US
dc.description.sponsorshipHuman Frontier Science Program (Strasbourg, France) (Grant RGP0004/2005-C102)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant DMR-0602684) (Grant DBI-0649865)en_US
dc.description.sponsorshipHarvard University. Materials Research Science and Engineering Center (DMR- 0820484)en_US
dc.description.sponsorshipMassachusetts Life Sciences Centeren_US
dc.description.sponsorshipFrance. Agence nationale de la recherche (ANR-05- BLAN-0397)en_US
dc.language.isoen_US
dc.publisherNational Academy of Sciences (U.S.)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1073/pnas.0910781107en_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.sourcePNASen_US
dc.titleUltrahigh-throughput screening in drop-based microfluidics for directed evolutionen_US
dc.typeArticleen_US
dc.identifier.citationAgresti, J. J. et al. “Ultrahigh-throughput screening in drop-based microfluidics for directed evolution.” Proceedings of the National Academy of Sciences 107.9 (2010): 4004-4009. Copyright ©2011 by the National Academy of Sciencesen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemistryen_US
dc.contributor.approverKlibanov, Alexander M.
dc.contributor.mitauthorAntipov, Eugene
dc.contributor.mitauthorKlibanov, Alexander M.
dc.relation.journalProceedings of the National Academy of Sciences of the United States of America. (PNAS)en_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsAgresti, J. J.; Antipov, E.; Abate, A. R.; Ahn, K.; Rowat, A. C.; Baret, J.-C.; Marquez, M.; Klibanov, A. M.; Griffiths, A. D.; Weitz, D. A.en
dc.identifier.orcidhttps://orcid.org/0000-0003-3830-714X
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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