Show simple item record

dc.contributor.authorDanino, Tal
dc.contributor.authorPrindle, Arthur
dc.contributor.authorKwong, Gabriel A.
dc.contributor.authorSkalak, Matthew T.
dc.contributor.authorLi, Howard
dc.contributor.authorHasty, Jeff
dc.contributor.authorAllen, Kaitlin N.
dc.contributor.authorBhatia, Sangeeta N
dc.date.accessioned2015-11-10T15:24:37Z
dc.date.available2015-11-10T15:24:37Z
dc.date.issued2015-05
dc.date.submitted2014-11
dc.identifier.issn1946-6234
dc.identifier.issn1946-6242
dc.identifier.urihttp://hdl.handle.net/1721.1/99876
dc.description.abstractRapid advances in the forward engineering of genetic circuitry in living cells has positioned synthetic biology as a potential means to solve numerous biomedical problems, including disease diagnosis and therapy. One challenge in exploiting synthetic biology for translational applications is to engineer microbes that are well tolerated by patients and seamlessly integrate with existing clinical methods. We use the safe and widely used probiotic Escherichia coli Nissle 1917 to develop an orally administered diagnostic that can noninvasively indicate the presence of liver metastasis by producing easily detectable signals in urine. Our microbial diagnostic generated a high-contrast urine signal through selective expansion in liver metastases (10[superscript 6]-fold enrichment) and high expression of a lacZ reporter maintained by engineering a stable plasmid system. The lacZ reporter cleaves a substrate to produce a small molecule that can be detected in urine. E. coli Nissle 1917 robustly colonized tumor tissue in rodent models of liver metastasis after oral delivery but did not colonize healthy organs or fibrotic liver tissue. We saw no deleterious health effects on the mice for more than 12 months after oral delivery. Our results demonstrate that probiotics can be programmed to safely and selectively deliver synthetic gene circuits to diseased tissue microenvironments in vivo.en_US
dc.description.sponsorshipLudwig Center for Molecular Oncologyen_US
dc.description.sponsorshipAmar G. Bose Research Granten_US
dc.description.sponsorshipSan Diego Center for Systems Biology (United States. National Institutes of Health Grant P50 GM085764)en_US
dc.description.sponsorshipNational Institute of General Medical Sciences (U.S.) (R01GM69811)en_US
dc.description.sponsorshipNational Cancer Institute (U.S.) (Koch Institute Support (Core) Grant P30-CA14051)en_US
dc.description.sponsorshipNational Institute of Environmental Health Sciences (Core Center Grant P30-ES002109)en_US
dc.description.sponsorshipMisrock Foundation (Postdoctoral Fellowship)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Ruth L. Kirschstein National Research Service Award)en_US
dc.description.sponsorshipBurroughs Wellcome Fund (Career Award at the Scientific Interface)en_US
dc.language.isoen_US
dc.publisherAmerican Association for the Advancement of Science (AAAS)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1126/scitranslmed.aaa3519en_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.titleProgrammable probiotics for detection of cancer in urineen_US
dc.typeArticleen_US
dc.identifier.citationDanino, T., A. Prindle, G. A. Kwong, M. Skalak, H. Li, K. Allen, J. Hasty, and S. N. Bhatia. “Programmable Probiotics for Detection of Cancer in Urine.” Science Translational Medicine 7, no. 289 (May 27, 2015): 289ra84–289ra84.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 Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MITen_US
dc.contributor.mitauthorDanino, Talen_US
dc.contributor.mitauthorKwong, Gabriel A.en_US
dc.contributor.mitauthorSkalak, Matthew T.en_US
dc.contributor.mitauthorAllen, Kaitlinen_US
dc.contributor.mitauthorBhatia, Sangeeta N.en_US
dc.relation.journalScience Translational Medicineen_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.orderedauthorsDanino, T.; Prindle, A.; Kwong, G. A.; Skalak, M.; Li, H.; Allen, K.; Hasty, J.; Bhatia, S. N.en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-1293-2097
dc.identifier.orcidhttps://orcid.org/0000-0001-7302-4394
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record