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dc.contributor.advisorAmy Keating.en_US
dc.contributor.authorReinke, Aaron Wen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Biology.en_US
dc.date.accessioned2012-04-26T18:49:17Z
dc.date.available2012-04-26T18:49:17Z
dc.date.copyright2012en_US
dc.date.issued2012en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/70392
dc.descriptionThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Biology, 2012.en_US
dc.descriptionPage 428 blank. Cataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references.en_US
dc.description.abstractProtein-protein interactions are important for almost all cellular functions. Knowing which proteins interact with one another is important for understanding protein function as well as for being able to disrupt their interactions. The basic leucine-zipper transcription factors (bZIPs) are a class of eukaryotic transcription factors that form either homodimers or heterodimers that bind to DNA in a site-specific manner. bZIPs are similar in sequence and structure, yet bZIP protein-protein interactions are specific, and this specificity is important for determining which DNA sites are bound. bZIP proteins have a simple structure that makes them experimentally tractable and well suited for developing models of interaction specificity. While current models perform well at being able to distinguish interactions from non-interactions, they are not fully accurate or able to predict interaction affinity. Our current understanding of protein interaction specificity is limited by the small number of large, high-quality interaction data sets that can be analyzed. For my thesis work I took a biophysical approach to experimentally measure the interactions of many native and designed bZIP and bZIP-like proteins in a high-throughput manner. The first method I used involved protein arrays containing small spots of bZIP-derived peptides immobilized on glass slides, which were probed with fluorescently labeled candidate protein partners. To improve upon this technique, I developed a solution-based FRET assay. In this experiment, two different dye-labeled versions of each protein are purified and mixed together at multiple concentrations to generate binding curves that quantify the affinity of each pair-wise interaction. Using the array assay, I identified novel interactions between human proteins and virally encoded bZIPs, characterized peptides designed to bind specifically to native bZIPs, and measured the interactions of a large set of synthetic bZIP-like coiled coils. Using the solution-based FRET assay, I quantified the bZIP interaction networks of five metazoan species and observed conservation as well as rewiring of interactions throughout evolution. Together, these studies have identified new interactions, created peptide reagents, identified sequence determinants of interaction specificity, and generated large amounts of interaction data that will help in the further understanding of bZIP protein interaction specificity.en_US
dc.description.statementofresponsibilityby Aaron W. Reinke.en_US
dc.format.extent428 p.en_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.subjectBiology.en_US
dc.titleDetermining protein interaction specificity of native and designed bZIP family transcription factorsen_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biology
dc.identifier.oclc783810564en_US


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