Generating synthetic noncoding RNAs for programmable and tunable gene control
Abstract/Contents
- Abstract
- The engineering of biological systems offers significant promise for advances in areas including health and medicine, scalable manufacturing, and environmental sustainability. Realizing this potential requires tools that enable design of sophisticated genetic systems. The functional diversity of RNA makes it an attractive and versatile substrate for genetically encoding molecular sensing, catalysis, data storage, information processing, and gene regulatory capabilities. We describe the development and application of methods for generating and characterizing functional noncoding RNA sequences, including novel biological sensing capabilities and regulatory switches in microbial and mammalian hosts. We developed a surface plasmon resonance-based platform for the rapid characterization of kinetic and equilibrium binding properties of aptamers to small molecules and a high-throughput, quantitative, cell-based screening strategy to support rapid generation of ribozyme-based RNA switches with user-specified regulatory activities. We applied these screening and characterization strategies to construct synthetic RNA regulatory switches to the pharmaceutical drug folinic acid in both microbial and mammalian cells in response to drug administration.
Description
Type of resource | text |
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Form | electronic; electronic resource; remote |
Extent | 1 online resource. |
Publication date | 2014 |
Issuance | monographic |
Language | English |
Creators/Contributors
Associated with | Chang, Andrew L |
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Associated with | Stanford University, Department of Chemistry. |
Primary advisor | Smolke, Christina D |
Thesis advisor | Smolke, Christina D |
Thesis advisor | Cochran, Jennifer R |
Thesis advisor | Khosla, Chaitan, 1964- |
Advisor | Cochran, Jennifer R |
Advisor | Khosla, Chaitan, 1964- |
Subjects
Genre | Theses |
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Bibliographic information
Statement of responsibility | Andrew L. Chang. |
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Note | Submitted to the Department of Chemistry. |
Thesis | Thesis (Ph.D.)--Stanford University, 2014. |
Location | electronic resource |
Access conditions
- Copyright
- © 2014 by Andrew Leo Chang
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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