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dc.contributor.advisorScott Manalis.en_US
dc.contributor.authorPark, Clara, S.M. Massachusetts Institute of Technologyen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Mechanical Engineering.en_US
dc.date.accessioned2018-02-16T20:04:28Z
dc.date.available2018-02-16T20:04:28Z
dc.date.copyright2017en_US
dc.date.issued2017en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/113754
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 43-44).en_US
dc.description.abstractPredicting individual patient response to cancer drugs has been challenging. As many anticancer drugs aim to modulate cell deaths or growth inhibition, a useful assay for drug susceptibility would require direct assessment of phenotypic changes to cells upon drug treatment, such as cell viability or growth rate. Previously, the serial microfluidic mass sensor arrays have been used to measure single-cell mass accumulation rates over ~20 minute intervals to assess drug susceptibility. Here, we present a multiplexing platform that allows evaluation of multiple drug response conditions in a single experiment by utilizing fluorescent barcodes based on cell surface labeling. Fluorescence microscopy was integrated with the serial microfluidic mass sensor arrays to match a given barcode (which corresponds to a drug condition) with its mass accumulation rate as each cell flows through the microfluidic channel. To validate our approach, we show that the dynamics of drug response can be obtained from a single experiment by multiplexing drug treatment durations. Our validation highlights the capability of our platform to both eliminate measurement bias due to time differences in drug exposure and reduce the operation time when compared to standard time point assays.en_US
dc.description.statementofresponsibilityby Clara Park.en_US
dc.format.extent44 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectMechanical Engineering.en_US
dc.titleA multiplex platform based on cellular barcoding for measuring single cell drug susceptibilityen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.identifier.oclc1021886614en_US


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