Input-output biomolecular systems

The ability of cells to sense and respond to their environment is encoded in biomolecular reaction networks, in which information travels through processes such as production, modification, and removal of biomolecules. These reaction networks can be modeled as input-output systems, where the input, state and output variables are concentrations of the biomolecules involved in these reactions. Tools from non-linear dynamics and control theory can be leveraged to analyze and control these systems. In this thesis, we study two key biomolecular networks. In part 1 of this thesis, we study the input-output behavior of signaling systems, which are responsible for the transmission of information both from outside and from within the cells, and are ubiquitous, playing a role in cell cycle progression, survival, growth, differentiation and apoptosis. A signaling pathway transmits information from an upstream system to downstream systems, ideally in a unidirectional fashion.

Name thesis:degree_name

Doctoral

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Mechanical Engineering

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2020

Author dc:creator

• Shah, Rushina(Rushina Jaidip)

Advisor dc:contributor.advisor

• Domitilla Del Vecchio.

• Mechanical Engineering.

Statement dc:rights

• MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/129016

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/129016