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dc.contributor.advisorPaul T. Matsudaira.en_US
dc.contributor.authorReed, Stephanie Men_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Mechanical Engineering.en_US
dc.date.accessioned2008-02-27T22:29:58Z
dc.date.available2008-02-27T22:29:58Z
dc.date.copyright2007en_US
dc.date.issued2007en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/40477
dc.descriptionThesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2007.en_US
dc.descriptionIncludes bibliographical references.en_US
dc.description.abstractCytoskeletal proteins function as dynamic, complex components involved in cellular structure and signaling. Characterizing the roles of such proteins would greatly benefit many research areas, including the study of cancer and protein-related diseases. There is currently no accurate, high throughput method of image analysis that clearly describes protein behavior within the cell. In addressing this problem, we chose to characterize proteins based on the colocalization parameter-the amount of overlap between two objects or signals. We aimed to create a single parameter that quantitatively defined colocalization yet complemented biological intuition about a complicated system. Cell culture techniques were used to transfect HeLa cells with four "marker" GFP-tagged protein constructs. Cells were fluorescently labeled in three channels-Hoechst for nucleus, Texas Red phalloidin for actin, and GFP for protein-and images were captured using Cellomics scanning microscopy. After collecting data and testing software applications, we analyzed our data with Definiens software and developed a flexible, comprehensible method of quantifying colocalization using minimal parameters.en_US
dc.description.statementofresponsibilityby Stephanie M. Reed.en_US
dc.format.extent35 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/1721.1/7582
dc.subjectMechanical Engineering.en_US
dc.titleAnalyzing GFP-tagged cytoskeletal protein colocalization in human carcinoma cellsen_US
dc.typeThesisen_US
dc.description.degreeS.B.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.identifier.oclc191750168en_US


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