Show simple item record

dc.contributor.advisorJ. Christopher Love and Darrell J. Irvine.en_US
dc.contributor.authorLoginov, Denisen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Materials Science and Engineering.en_US
dc.date.accessioned2015-09-02T15:17:22Z
dc.date.available2015-09-02T15:17:22Z
dc.date.copyright2015en_US
dc.date.issued2015en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/98316
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Materials Science and Engineering, 2015.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 85-90).en_US
dc.description.abstractMany important areas of research regarding human health, such as immunology and cancer biology, deal with highly heterogeneous populations of cells where the contributions of individual players cannot be ignored. Single-cell technologies aim to resolve this heterogeneity by analyzing many individual cells in a high-throughput manner. Here we developed two examples of such tools that rely on microfabricated arrays of microwells. The first platform merges fluorescence cytometry with label-free profiling of the small molecule composition of tens of thousands of cells based on matrix assisted laser desorption/ionization (MALDI) mass spectrometry. We evaluated several materials and approaches to chip fabrication suitable for interfacing with a MALDI instrument. We also developed an analytical pipeline for efficient processing of cells on the chip and demonstrated its application to the analysis of brain tumor samples. The second platform provides a new format of microwell arrays for fluorescence cytometry that improves their compatibility with a range of automated equipment and enables more efficient processing of a greater number of samples, while preserving viability and identity of cells for subsequent analyses. We demonstrated its utility for on-chip enrichment and recovery of circulating tumor cells (CTCs) and high-content immuno phenotyping of small clinical samples.en_US
dc.description.statementofresponsibilityby Denis Loginov.en_US
dc.format.extent90 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectMaterials Science and Engineering.en_US
dc.titleDevelopment of High-Throughput Platforms for Single-Cell Analysisen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Materials Science and Engineering
dc.identifier.oclc918898004en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record