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Massachusetts Institute of Technology

Synthetic circular RNA for protein expression

Abstract

dc:description.abstract

Messenger RNA (mRNA) has broad potential for therapeutic and engineering applications. One fundamental limitation of mRNA is its relatively short half-life in biological systems, effected in part by rapid exonuclease-mediated degradation upon delivery. Circular RNA (circRNA), a type of single-stranded RNA with a contiguous structure that lacks the end motifs necessary for exonuclease recognition, may be resistant to this mechanism of degradation and therefore may exhibit superior stability. However, challenges in circularization, purification, and protein expression have impeded a thorough investigation of exogenous circRNA. By rationally designing ubiquitous accessory sequences to facilitate circularization, we engineered a permuted self-splicing intron that efficiently circularized RNAs up to 5kb in length in vitro.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Biology
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Wesselhoeft, R. Alexander(Robert Alexander)
Advisor dc:contributor.advisor
  • Daniel G. Anderson.

Subjects

dc:subject × 1

Rights

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

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/122710
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/122710

Chain of custody

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

Wesselhoeft, R. Alexander(Robert Alexander). Synthetic circular RNA for protein expression. Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122710