dc.contributor.author | Kauffman, Kevin John | |
dc.contributor.author | Xing, Yiping | |
dc.contributor.author | Shaw, Taylor E. | |
dc.contributor.author | Mir, Faryal | |
dc.contributor.author | Dlott, Chloe C. | |
dc.contributor.author | Langer, Robert S | |
dc.contributor.author | Anderson, Daniel Griffith | |
dc.contributor.author | Wang, Eric T | |
dc.contributor.author | Dahlman, James E. | |
dc.date.accessioned | 2018-02-22T19:22:58Z | |
dc.date.available | 2018-02-22T19:22:58Z | |
dc.date.issued | 2017-01 | |
dc.date.submitted | 2016-10 | |
dc.identifier.issn | 0027-8424 | |
dc.identifier.issn | 1091-6490 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/113871 | |
dc.description.abstract | Nucleic acid therapeutics are limited by inefficient delivery to target tissues and cells and by an incomplete understanding of how nanoparticle structure affects biodistribution to off-target organs. Although thousands of nanoparticle formulations have been designed to deliver nucleic acids, most nanoparticles have been tested in cell culture contexts that do not recapitulate systemic in vivo delivery. To increase the number of nanoparticles that could be tested in vivo, we developed a method to simultaneously measure the biodistribution of many chemically distinct nanoparticles. We formulated nanoparticles to carry specific nucleic acid barcodes, administered the pool of particles, and quantified particle biodistribution by deep sequencing the barcodes. This method distinguished previously characterized lung- and liver- targeting nanoparticles and accurately reported relative quantities of nucleic acid delivered to tissues. Barcode sequences did not affect delivery, and no evidence of particle mixing was observed for tested particles. By measuring the biodistribution of 30 nanoparticles to eight tissues simultaneously, we identified chemical properties promoting delivery to some tissues relative to others. Finally, particles that distributed to the liver also silenced gene expression in hepatocytes when formulated with siRNA. This system can facilitate discovery of nanoparticles targeting specific tissues and cells and accelerate the study of relationships between chemical structure and delivery in vivo | en_US |
dc.description.sponsorship | Massachusetts Institute of Technology (Presidential Graduate Fellowship) | en_US |
dc.description.sponsorship | National Science Foundation (U.S.). Graduate Research Fellowship Program | en_US |
dc.description.sponsorship | David H. Koch Institute for Integrative Cancer Research at MIT. Marble Center for Cancer Nanomedicine | en_US |
dc.description.sponsorship | National Institutes of Health (U.S.) (Cancer Center Support (Core) Grant P30- CA14051) | en_US |
dc.description.sponsorship | Massachusetts Institute of Technology. Undergraduate Research Opportunities Program | en_US |
dc.description.sponsorship | National Institutes of Health (Grant DP5-OD017865) | en_US |
dc.description.sponsorship | Kathy and Curt Marble Cancer Research Fund (Koch Institute Frontier Grant) | en_US |
dc.language.iso | en_US | |
dc.publisher | National Academy of Sciences (U.S.) | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1073/pnas.1620874114 | en_US |
dc.rights | Article 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.source | PNAS | en_US |
dc.title | Barcoded nanoparticles for high throughput in vivo discovery of targeted therapeutics | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Dahlman, James E., et al. “Barcoded Nanoparticles for High Throughput in Vivo Discovery of Targeted Therapeutics.” Proceedings of the National Academy of Sciences, vol. 114, no. 8, Feb. 2017, pp. 2060–65. © 2017 National Academy of Sciences | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Institute for Medical Engineering & Science | en_US |
dc.contributor.department | Harvard University--MIT Division of Health Sciences and Technology | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Chemical Engineering | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
dc.contributor.department | Koch Institute for Integrative Cancer Research at MIT | en_US |
dc.contributor.mitauthor | Dahlman, James | |
dc.contributor.mitauthor | Kauffman, Kevin John | |
dc.contributor.mitauthor | Xing, Yiping | |
dc.contributor.mitauthor | Shaw, Taylor E. | |
dc.contributor.mitauthor | Mir, Faryal | |
dc.contributor.mitauthor | Dlott, Chloe C. | |
dc.contributor.mitauthor | Langer, Robert S | |
dc.contributor.mitauthor | Anderson, Daniel Griffith | |
dc.contributor.mitauthor | Wang, Eric T | |
dc.relation.journal | Proceedings of the National Academy of Sciences | en_US |
dc.eprint.version | Final published version | 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 | Dahlman, James E.; Kauffman, Kevin J.; Xing, Yiping; Shaw, Taylor E.; Mir, Faryal F.; Dlott, Chloe C.; Langer, Robert; Anderson, Daniel G.; Wang, Eric T. | en_US |
dspace.embargo.terms | N | en_US |
dc.identifier.orcid | https://orcid.org/0000-0002-9436-2453 | |
dc.identifier.orcid | https://orcid.org/0000-0003-4255-0492 | |
dc.identifier.orcid | https://orcid.org/0000-0001-5629-4798 | |
mit.license | PUBLISHER_POLICY | en_US |