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Massachusetts Institute of Technology

An expanded search for RNA-programmable genomic engineering effectors

Abstract

dc:description.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.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Smargon, Aaron Andrew
Advisor dc:contributor.advisor
  • Feng Zhang.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • 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.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/105959
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/105959

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Smargon, Aaron Andrew. An expanded search for RNA-programmable genomic engineering effectors. Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/105959