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dc.contributor.authorDanino, Tal
dc.contributor.authorPrindle, Arthur
dc.contributor.authorHasty, Jeff
dc.contributor.authorBhatia, Sangeeta N.
dc.contributor.authorBhatia, Sangeeta N
dc.date.accessioned2014-09-15T19:45:56Z
dc.date.available2014-09-15T19:45:56Z
dc.date.issued2013-07
dc.identifier.issn1940-087X
dc.identifier.urihttp://hdl.handle.net/1721.1/89635
dc.description.abstractThe goal of these experiments is to generate quantitative time-course data on the growth and gene expression dynamics of attenuated S. typhimurium bacterial colonies growing inside tumors. We generated model xenograft tumors in mice by subcutaneous injection of a human ovarian cancer cell line, OVCAR-8 (NCI DCTD Tumor Repository, Frederick, MD). We transformed attenuated strains of S. typhimurium bacteria (ELH430:SL1344 phoPQ- 1) with a constitutively expressed luciferase (luxCDABE) plasmid for visualization2. These strains specifically colonize tumors while remaining essentially non-virulent to the mouse1. Once measurable tumors were established, bacteria were injected intravenously via the tail vein with varying dosage. Tumor-localized, bacterial gene expression was monitored in real time over the course of 60 hours using an in vivo imaging system (IVIS). At each time point, tumors were excised, homogenized, and plated to quantitate bacterial colonies for correlation with gene expression data. Together, this data yields a quantitative measure of the in vivo growth and gene expression dynamics of bacteria growing inside tumors.en_US
dc.description.sponsorshipDavid H. Koch Institute for Integrative Cancer Research at MIT (Misrock Postdoctoral fellowship)en_US
dc.description.sponsorshipHoward Hughes Medical Institute (Investigator)en_US
dc.description.sponsorshipUnited States. Dept. of Defense (National Defense Science and Engineering Graduate Fellowships (NDSEG))en_US
dc.language.isoen_US
dc.publisherMyJoVE Corporationen_US
dc.relation.isversionofhttp://dx.doi.org/10.3791/50540en_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.sourceMyJoVE Corporationen_US
dc.titleMeasuring Growth and Gene Expression Dynamics of Tumor-Targeted S. Typhimurium Bacteriaen_US
dc.typeArticleen_US
dc.identifier.citationDanino, Tal, Arthur Prindle, Jeff Hasty, and Sangeeta Bhatia. “Measuring Growth and Gene Expression Dynamics of Tumor-Targeted S. Typhimurium Bacteria.” JoVE no. 77 (2013).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 MIT. Laboratory for Multiscale Regenerative Technologiesen_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MITen_US
dc.contributor.mitauthorDanino, Talen_US
dc.contributor.mitauthorBhatia, Sangeeta N.en_US
dc.relation.journalJournal of Visualized Experimentsen_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.orderedauthorsDanino, Tal; Prindle, Arthur; Hasty, Jeff; Bhatia, Sangeetaen_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


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