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Massachusetts Institute of Technology

Understanding and stimulating cellular resource transactions for robust cell growth and genetic circuit performance

Abstract

dc:description.abstract

A premier challenge facing synthetic biology is achieving robust performance of synthetic circuits as they share transcription and translational resource amongst each other and the host-cell. It is important to model the full physics of cellular-resource sharing when designing genetic circuits to ensure robustness. Current models used in synthetic and systems biology lack the ability to account for the nontrivial spatial distribution of resources and genes that has been experimentally observed. The first part of this thesis introduces a model consisting of a set of partial differential equitations (PDE's) that captures the experimentally observed spatial information in the cell and it is framed in a resource sharing context. A comparison of gene expression, circuit-circuit and circuit-host-cell interactions between the proposed model and the commonly used well-mixed ordinary differential equations (ODE's) model is provided. An efficient numerical method to solve the PDE's is given and regimes where the set of PDE's can be simplified to ODE's by simply adjusting the effective ribosome binding strength (RBS) of each genetic circuit is discussed. It is envisioned that a centralized controller which regulates resource production can be implemented to ensure robust circuit performance. The second half of this thesis introduces an actuator which can be used to regulate resource production in the centralized controller. By tapping into the endogenous circuitry of the cell responsible for adjusting resource levels in the cell based on environmental conditions, we provide a proof-of-concept for this actuator. Theoretical and experimental results are provided to characterize the actuator performance. The actuator is then applied in an engineering context to rescue the cellular growth rate defects arising from overexpression of an exogenous protein. Finally, the actuator is also shown to minimize the coupling that arises between synthetic circuits due to resource sharing.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Barajas, Carlos(Scientist in mechanical engineering) Massachusetts Institute of Technology
Advisor dc:contributor.advisor
  • Domitilla Del Vecchio.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/118737
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/118737

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

Barajas, Carlos(Scientist in mechanical engineering) Massachusetts Institute of Technology. Understanding and stimulating cellular resource transactions for robust cell growth and genetic circuit performance. Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118737