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dc.contributor.advisorAlex K. Shalek.en_US
dc.contributor.authorGenshaft, Alexander S.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Chemistry.en_US
dc.date.accessioned2020-10-08T21:29:07Z
dc.date.available2020-10-08T21:29:07Z
dc.date.copyright2020en_US
dc.date.issued2020en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/127892
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Department of Chemistry, May, 2020en_US
dc.descriptionCataloged from the PDF of thesis.en_US
dc.descriptionIncludes bibliographical references.en_US
dc.description.abstractOnly recently have molecular methods achieved high-quality and unbiased representations of diverse intracellular molecules at the single-cell level. With this technological advancement, researchers have begun deconvolving population-level measurements to understand whether prior observations were homo- or heterogeneous across the sample. In order to make multi-omics workflows compatible with low input samples comprising a few to single cells, new methods are required. Here, we devise a scalable, integrated strategy for coupled protein and RNA detection in single cells. This method and other similar protocols enable researchers to dive deeper into cellular phenotypes while retaining single-cell resolution, critical for determining what transcriptional programs arise and in which cells with what other programs.en_US
dc.description.abstractHowever, cellular phenotypes are not solely determined by the products of transcription and translation - cells are constantly receiving information from their environment including direct contact with other cells, secreted biomacromolecules and small molecules. To explicitly examine how a cell's spatiotemporal activity impacts its behavior, we developed and validated SPACECAT: a strategy to annotate, track, and isolate specific cells in a non-destructive, viability-preserving manner. To accomplish this goal, we created a novel photocaged viability dye and incorporated other photoactivatable fluorophores that we can combine to create five distinct fluorescence signatures. We show that the SPACECAT protocol is a powerful tool for targeting specific microenvironments to reveal phenotypes that would otherwise be obscured by bulk signatures. However, SPACECAT does not capture precise interaction history with defined cell types and cannot track secreted molecules.en_US
dc.description.abstractTo exert more control over cellular interactions, we created a protocol that confines interacting cliques of cells to microwells, preventing cells or secreted molecules from leaving their well of origin, and isolating them from the many other cliques interrogated in parallel. By examining cliques under biological, chemical, and null control stimuli, we see distinct transcriptional programs that underly immunological interaction between CD4+ T cells and antigen presenting cells. Through these novel methods and their proof-of-principle applications, we enable researchers & clinicians to delve further into their systems of interest.en_US
dc.description.statementofresponsibilityby Alex S Genshaft.en_US
dc.format.extent146 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectChemistry.en_US
dc.titleMethods to interrogate cells and their interactions with single-cell resolutionen_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemistryen_US
dc.identifier.oclc1197080307en_US
dc.description.collectionPh.D. Massachusetts Institute of Technology, Department of Chemistryen_US
dspace.imported2020-10-08T21:29:06Zen_US
mit.thesis.degreeDoctoralen_US
mit.thesis.departmentChemen_US


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