High throughput technologies for studying nucleic acid-protein interactions
Abstract/Contents
- Abstract
- Spurred by market competition to reach the the $1000 genome, sequncing technologies can now read the information content of a genome quickly and inexpensively. But genomes are more than just vessels for information, and the information they contain is transduced by physical interactions with other molecules such as RNAs and proteins. The ability to quantitatively describe nucleic acid-protein interactions has not scaled at the same rate as sequencing technologies, and as a result our understanding of how nucleic acid binding proteins distinguish between potential binding part- ners with diverse sequences and structures has remained limited. This thesis describes a platform for leveraging genome sequencing technologies in order to make over ten million simultaneous mea- surements of the thermodynamics and kinetics of a protein interacting with potential nucleic acid targets. It also describes the application of this platform for studying the RNA binding protein MS2 as well as the targeted DNA editing system CRISPR/Cas9.
Description
Type of resource | text |
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Form | electronic; electronic resource; remote |
Extent | 1 online resource. |
Publication date | 2015 |
Issuance | monographic |
Language | English |
Creators/Contributors
Associated with | Chircus, Lauren Mallory | |
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Associated with | Stanford University, Department of Chemical and Systems Biology. | |
Primary advisor | Greenleaf, William James | |
Thesis advisor | Greenleaf, William James | |
Thesis advisor | Herschlag, Daniel | |
Thesis advisor | Jarosz, Daniel | |
Advisor | Herschlag, Daniel | |
Advisor | Jarosz, Daniel |
Subjects
Genre | Theses |
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Bibliographic information
Statement of responsibility | Lauren Mallory Chircus. |
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Note | Submitted to the Department of Chemical and Systems Biology. |
Thesis | Thesis (Ph.D.)--Stanford University, 2015. |
Location | electronic resource |
Access conditions
- Copyright
- © 2015 by Lauren Mallory Chircus
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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