| dc.identifier.uri | http://hdl.handle.net/11401/76635 | |
| dc.description.sponsorship | This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree. | en_US |
| dc.format | Monograph | |
| dc.format.medium | Electronic Resource | en_US |
| dc.language.iso | en_US | |
| dc.publisher | The Graduate School, Stony Brook University: Stony Brook, NY. | |
| dc.type | Dissertation | |
| dcterms.abstract | Gene regulatory network is a mathematical model of gene expression and regulation in cell environment. The concept of network comes from network in math and computer science. In gene network each node is a gene that has different expression level and links between nodes represent direct regulation (activation or repression). Gene network is stochastic with intrinsic noise from biochemical reactions involved and extrinsic noise from environment. It is non-equilibrium with frequent matter/energy exchange and active entropy production. One crucial character of gene network is the involvement of multiple timescales: timescale of protein synthesis/degradation and timescale of regulation processes. Conventional studies are concentrated at adiabatic limit where regulation processes are much more frequent than protein synthesis/degradation and adiabatic approximation is valid. We explore non-adiabatic dynamics of gene network by develop a mapping from N-dimensional protein concentration space to 2N extended space using similarity to quantum mechanics and path integral. We applied our theory to self activator which is the simplest network motif. Our theory is able to explain steady states at different adiabaticity and demonstrates non-equilibrium properties like eddy current. We also studied relationship between cancer heterogeneity and non-adiabatic dynamics of core cancer network. In non-adiabatic regime, the cancer network shows alternation of phenotypic states, weaker stability, optimal transition rate and diversity of transition paths. This suggests possible source of cancer heterogeneity from non-adiabatic dynamics of core cancer network. | |
| dcterms.available | 2017-09-20T16:50:51Z | |
| dcterms.contributor | Weinacht, Thomas | en_US |
| dcterms.contributor | Wang, Jin | en_US |
| dcterms.contributor | Averin, Dmitri | en_US |
| dcterms.contributor | Li, Xiaolin. | en_US |
| dcterms.creator | Chen, Cong | |
| dcterms.dateAccepted | 2017-09-20T16:50:51Z | |
| dcterms.dateSubmitted | 2017-09-20T16:50:51Z | |
| dcterms.description | Department of Physics | en_US |
| dcterms.extent | 114 pg. | en_US |
| dcterms.format | Monograph | |
| dcterms.format | Application/PDF | en_US |
| dcterms.identifier | http://hdl.handle.net/11401/76635 | |
| dcterms.issued | 2015-12-01 | |
| dcterms.language | en_US | |
| dcterms.provenance | Made available in DSpace on 2017-09-20T16:50:51Z (GMT). No. of bitstreams: 1
Chen_grad.sunysb_0771E_12629.pdf: 2957871 bytes, checksum: 9482883e0b5a9331d50c74dedc760c82 (MD5)
Previous issue date: 1 | en |
| dcterms.publisher | The Graduate School, Stony Brook University: Stony Brook, NY. | |
| dcterms.subject | Physics -- Biophysics | |
| dcterms.subject | Gene Network, Non-adiabatic, Tumor Heterogeneity | |
| dcterms.title | Non-adiabatic Dynamics of Gene Regulatory Network | |
| dcterms.type | Dissertation | |
