2026-09-21T06:09:28Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1137542022-01-13T07:54:05Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Scott Manalis.
Park, Clara, S.M. Massachusetts Institute of Technology
Massachusetts Institute of Technology. Department of Mechanical Engineering.
Massachusetts Institute of Technology. Department of Mechanical Engineering
2018-02-16T20:04:28Z
2018-02-16T20:04:28Z
2017
2017
http://hdl.handle.net/1721.1/113754
1021886614
Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 43-44).
Predicting 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.
by Clara Park.
S.M.
44 pages
eng
Massachusetts Institute of Technology
MIT 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.
http://dspace.mit.edu/handle/1721.1/7582
Mechanical Engineering.
A multiplex platform based on cellular barcoding for measuring single cell drug susceptibility
Thesis
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<Abstract>Predicting 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.</Abstract>
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