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An expanded search for RNA-programmable genomic engineering effectors

Author(s)
Smargon, Aaron Andrew
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Alternative title
Expanded search for ribonucleic acid-programmable genomic engineering effectors
Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Feng Zhang.
Terms of use
M.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. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
A biocomputational pipeline was designed and implemented to mine through metagenomic datasets for novel Class 2 CRISPR (Clustered Regularly Interspaced Short Palindromic Repeat) single effectors, akin to the revolutionary genome-engineering tools Cas9 and Cpf1. Whereas previous search strategies relied on protein proximity to CRISPR-associated spacer acquisition proteins Cas1 and Cas2, this approach was seeded on CRISPR arrays alone. What resulted was the discovery of a potential new Class 2 CRISPR system, with two subtypes as characterized by distinct putative accessory proteins. Follow-up experimental work is required to assess the system's activity: first, in the presence and absence of the accessory protein; and second, as a single effector protein capable of precise genome engineering in prokaryotic and eukaryotic cells.
Description
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
 
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
 
Cataloged from student-submitted PDF version of thesis.
 
Includes bibliographical references (pages 31-33).
 
Date issued
2016
URI
http://hdl.handle.net/1721.1/105959
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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