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Improved methods for rapid and scalable tissue clearing and labeling

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dc.contributor.advisor Kwanghun Chung. en_US
dc.contributor.author Murray, Evan (Evan T.) en_US
dc.contributor.other Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences. en_US
dc.date.accessioned 2017-04-05T16:01:23Z
dc.date.available 2017-04-05T16:01:23Z
dc.date.copyright 2016 en_US
dc.date.issued 2016 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/107879
dc.description Thesis: S.M. in Neuroscience, Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, 2016. en_US
dc.description Cataloged from PDF version of thesis. en_US
dc.description Includes bibliographical references (pages 55-58). en_US
dc.description.abstract Combined measurement of diverse molecular and anatomical traits that span multiple levels remains a major challenge in biology. Here, we introduce a simple method that enables proteomic imaging for scalable, integrated, high-dimensional phenotyping of both animal tissues and human clinical samples. This method, termed SWITCH, uniformly secures tissue architecture, native biomolecules, and antigenicity across an entire system by synchronizing the tissue preservation reaction. The heat- and chemical-resistant nature of the resulting framework permits multiple rounds (>20) of relabeling. We have performed 22 rounds of labeling of a single tissue with precise co-registration of multiple datasets. Furthermore, SWITCH synchronizes labeling reactions to improve probe penetration depth and uniformity of staining. With SWITCH, we performed combinatorial protein expression profiling of the human cortex and also interrogated the geometric structure of the fiber pathways in mouse brains. Such integrated high-dimensional information may accelerate our understanding of biological systems at multiple levels. en_US
dc.description.statementofresponsibility by Evan Murray. en_US
dc.format.extent 58 pages en_US
dc.language.iso eng en_US
dc.publisher Massachusetts Institute of Technology en_US
dc.rights 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. en_US
dc.rights.uri http://dspace.mit.edu/handle/1721.1/7582 en_US
dc.subject Brain and Cognitive Sciences. en_US
dc.title Improved methods for rapid and scalable tissue clearing and labeling en_US
dc.type Thesis en_US
dc.description.degree S.M. in Neuroscience en_US
dc.contributor.department Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences. en_US
dc.identifier.oclc 976408264 en_US


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