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dc.contributor.authorChang, Tsung-Yao
dc.contributor.authorChatnuntawech, Itthi
dc.contributor.authorYanik, Mehmet Fatih
dc.contributor.authorTillberg, Paul W.
dc.contributor.authorEimon, Peter
dc.contributor.authorAnderson, Daniel Griffith
dc.contributor.authorShi, Peng, Ph. D. Massachusetts Institute of Technology
dc.contributor.authorSteinmeyer, Joseph Daly
dc.contributor.authorLove, Kevin T
dc.date.accessioned2016-02-09T18:02:55Z
dc.date.available2016-02-09T18:02:55Z
dc.date.issued2014-08
dc.date.submitted2014-06
dc.identifier.issn1757-9694
dc.identifier.issn1757-9708
dc.identifier.urihttp://hdl.handle.net/1721.1/101138
dc.description.abstractTherapies based on biologics involving delivery of proteins, DNA, and RNA are currently among the most promising approaches. However, although large combinatorial libraries of biologics and delivery vehicles can be readily synthesized, there are currently no means to rapidly characterize them in vivo using animal models. Here, we demonstrate high-throughput in vivo screening of biologics and delivery vehicles by automated delivery into target tissues of small vertebrates with developed organs. Individual zebrafish larvae are automatically oriented and immobilized within hydrogel droplets in an array format using a microfluidic system, and delivery vehicles are automatically microinjected to target organs with high repeatability and precision. We screened a library of lipid-like delivery vehicles for their ability to facilitate the expression of protein-encoding RNAs in the central nervous system. We discovered delivery vehicles that are effective in both larval zebrafish and rats. Our results showed that the in vivo zebrafish model can be significantly more predictive of both false positives and false negatives in mammals than in vitro mammalian cell culture assays. Our screening results also suggest certain structure–activity relationships, which can potentially be applied to design novel delivery vehicles.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Transformative Research Award R01 NS073127)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Director's Innovator Award DP2 OD002989)en_US
dc.description.sponsorshipDavid & Lucile Packard Foundation (Award in Science and Engineering)en_US
dc.description.sponsorshipSanofi Aventis (Firm)en_US
dc.description.sponsorshipFoxconn International Holdings Ltd.en_US
dc.description.sponsorshipHertz Foundation (Fellowship)en_US
dc.description.sponsorshipUniversity Grants Committee (Hong Kong, China) (Early Career Award 125012)en_US
dc.description.sponsorshipNational Natural Science Foundation (China) (81201164)en_US
dc.description.sponsorshipITC (ITS/376/13)en_US
dc.description.sponsorshipChinese University of Hong Kong (Grant 9610215)en_US
dc.description.sponsorshipChinese University of Hong Kong (Grant 7200269)en_US
dc.language.isoen_US
dc.publisherRoyal Society of Chemistryen_US
dc.relation.isversionofhttp://dx.doi.org/10.1039/c4ib00150hen_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcePMCen_US
dc.titleOrgan-targeted high-throughput in vivo biologics screen identifies materials for RNA deliveryen_US
dc.typeArticleen_US
dc.identifier.citationChang, Tsung-Yao, Peng Shi, Joseph D. Steinmeyer, Itthi Chatnuntawech, Paul Tillberg, Kevin T. Love, Peter M. Eimon, Daniel G. Anderson, and Mehmet Fatih Yanik. “Organ-Targeted High-Throughput in Vivo Biologics Screen Identifies Materials for RNA Delivery.” Integr. Biol. 6, no. 10 (August 5, 2014): 926–934.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Research Laboratory of Electronicsen_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MITen_US
dc.contributor.mitauthorChang, Tsung-Yaoen_US
dc.contributor.mitauthorShi, Pengen_US
dc.contributor.mitauthorSteinmeyer, Joseph D.en_US
dc.contributor.mitauthorChatnuntawech, Itthien_US
dc.contributor.mitauthorTillberg, Paul W.en_US
dc.contributor.mitauthorLove, Kevin T.en_US
dc.contributor.mitauthorEimon, Peteren_US
dc.contributor.mitauthorAnderson, Daniel Griffithen_US
dc.contributor.mitauthorYanik, Mehmet Fatihen_US
dc.relation.journalIntegrative Biologyen_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.orderedauthorsChang, Tsung-Yao; Shi, Peng; Steinmeyer, Joseph D.; Chatnuntawech, Itthi; Tillberg, Paul; Love, Kevin T.; Eimon, Peter M.; Anderson, Daniel G.; Yanik, Mehmet Fatihen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-0447-517X
dc.identifier.orcidhttps://orcid.org/0000-0002-4916-6314
dc.identifier.orcidhttps://orcid.org/0000-0001-5629-4798
dc.identifier.orcidhttps://orcid.org/0000-0003-0254-4741
dc.identifier.orcidhttps://orcid.org/0000-0001-8946-8205
mit.licenseOPEN_ACCESS_POLICYen_US


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