Citation
Beeler, Suzannah Michelle (2022) Deciphering Regulation in Escherichia coli: From Genes to Genomes. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/p3rg-m937. https://resolver.caltech.edu/CaltechTHESIS:08182021-053622635
Abstract
Advances in DNA sequencing have revolutionized our ability to read genomes. However, even in the most well-studied of organisms, the bacterium Escherichia coli, for ≈ 65% of promoters we remain ignorant of their regulation. Until we crack this regulatory Rosetta Stone, efforts to read and write genomes will remain haphazard. We introduce a new method, Reg-Seq, that links massively-parallel reporter assays with mass spectrometry to produce a base pair resolution dissection of more than 100 E. coli promoters in 12 growth conditions. We demonstrate that the method recapitulates known regulatory information. Then, we examine regulatory architectures for more than 80 promoters which previously had no known regulatory information. In many cases, we also identify which transcription factors mediate their regulation. This method clears a path for highly multiplexed investigations of the regulatory genome of model organisms, with the potential of moving to an array of microbes of ecological and medical relevance.
Item Type: | Thesis (Dissertation (Ph.D.)) | |||||||||
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Subject Keywords: | Escherichia coli; gene regulation; transcription factors; massively parallel reporter assays | |||||||||
Degree Grantor: | California Institute of Technology | |||||||||
Division: | Biology and Biological Engineering | |||||||||
Major Option: | Systems Biology | |||||||||
Thesis Availability: | Public (worldwide access) | |||||||||
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Defense Date: | 22 July 2021 | |||||||||
Non-Caltech Author Email: | sbeeler15 (AT) gmail.com | |||||||||
Record Number: | CaltechTHESIS:08182021-053622635 | |||||||||
Persistent URL: | https://resolver.caltech.edu/CaltechTHESIS:08182021-053622635 | |||||||||
DOI: | 10.7907/p3rg-m937 | |||||||||
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Default Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||
ID Code: | 14327 | |||||||||
Collection: | CaltechTHESIS | |||||||||
Deposited By: | Suzannah Beeler | |||||||||
Deposited On: | 23 Aug 2021 15:37 | |||||||||
Last Modified: | 08 Nov 2023 00:41 |
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