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Massachusetts Institute of Technology

Engineered sensors and genetic regulatory networks for control of cellular metabolism

Abstract

dc:description.abstract

Complex synthetic genetic programs promise unprecedented control over cellular metabolism and behavior. In this thesis, I describe the design and development of a synthetic genetic program to detect conditions underlying acetate formation in Escherichia coli. To construct this program, I first developed sensors that detected and propagated relevant information into genetic circuits. These sensors include a novel sensor for genotoxic methylation exposure in Saccharomyces cerevisiae and sensors for oxygen, acetate, and glycolytic flux in E. coli. The methylation sensor served to prototype generalizable tuning mechanisms and was tuned to a sensitivity and detection threshold useful for several applications, including the detection of Mel formation in methyl halide transferase-expressing cultures of yeast and the detection of Mel in soil. The sensors for oxygen and acetate were integrated into a program that can uniquely detect acetate formation in anaerobic conditions in E. coli. Finally, to validate their use at higher scales in production strains, the oxygen sensor and two genetic programs were characterized in 10 L fed-batch fermentations. Together, this work demonstrates the characterization of novel genetic elements, their integration into genetic programs, and the validation of those programs at industrially relevant scales.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2013

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Moser, Felix, Ph. D. Massachusetts Institute of Technology
Advisor dc:contributor.advisor
  • Christopher A. Voigt.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/86286
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/86286

Chain of custody

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

Moser, Felix, Ph. D. Massachusetts Institute of Technology. Engineered sensors and genetic regulatory networks for control of cellular metabolism. Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/86286