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Developing dna-mediated proximity assembly circuit for actuating biochemical reactions and molecular sensing

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Title
Developing dna-mediated proximity assembly circuit for actuating biochemical reactions and molecular sensing
Name (type = personal)
NamePart (type = family)
Oh
NamePart (type = given)
Sung Won
NamePart (type = date)
1993
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Sung Won Oh
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RoleTerm (authority = RULIB); (type = text)
author
Name (type = personal)
NamePart (type = family)
Fu
NamePart (type = given)
Jinglin
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Jinglin Fu
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Advisory Committee
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chair
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Rutgers University
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degree grantor
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Camden Graduate School
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theses
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2021
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2021-01
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English
Abstract
Life functions are regulated by numerous biochemical reactions occurring in cells. Mimicry of this regulation of biochemical reactions in a non-living system can be found useful in many applications. Recently, self-assembled DNA nanostructures have been developed to organize the assembly of biomolecular components and to regulate the components’ interactions and reactions. These discoveries are promising to have a revolutionary impact on medical diagnostics and therapeutics.

This dissertation presents a novel DNA-mediated proximity assembly circuit (DPAC) of biochemical reactions. The assembly circuit is regulated by a DNA logic-AND-gate module, which is comprised of a DNA hairpin-locked catalytic cofactor and a toehold or an aptamer. Targets of nucleic acids, small molecules, or proteins trigger the conformational switch of DPAC by dynamic mechanisms of toehold-mediated strand displacement or aptamer switch and exposes the cofactor. When enzyme/cofactor pair actuates a reaction, colorimetric or fluorescence signals are produced and detected.

DPAC can be optimized to detect a wide range of biotargets. The molecular sensing of adenosine and COVID-19 virus is explored. After optimization, DPAC can be transferred to a paper-based assay and be used for point-of-care diagnostics. This idea and the commercialization potential of this technology was explored through participation in the Innovation Corps program by the National Science Foundation.
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Computational and Integrative Biology
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Supplementary File: Figure 1.1
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1 online resource (xiv, 113 pages)
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Ph.D.
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Includes bibliographical references
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ETD doctoral
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Camden Graduate School Electronic Theses and Dissertations
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rucore10005600001
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Identifier (type = doi)
doi:10.7282/t3-kzy7-mg15
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Rights

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The author owns the copyright to this work.
RightsHolder (type = personal)
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Oh
GivenName
Sung Won
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Permission or license
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2020-12-18 16:34:26
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Sung Won Oh
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Rutgers University. Camden Graduate School
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Author Agreement License
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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2021-01-31
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2022-01-31
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Access to this PDF has been restricted at the author's request. It will be publicly available after January 31st, 2022.
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Copyright protected
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Open
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Permission or license
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