Noise and multistability in gene regulatory networks

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Physics, 2004.

Bibliographic Details
Main Author: Ozbudak, Ertugrul M. (Ertugrul Mustafa), 1976-
Other Authors: Alexander van Oudenaarden.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/16644
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author Ozbudak, Ertugrul M. (Ertugrul Mustafa), 1976-
author2 Alexander van Oudenaarden.
author_facet Alexander van Oudenaarden.
Ozbudak, Ertugrul M. (Ertugrul Mustafa), 1976-
author_sort Ozbudak, Ertugrul M. (Ertugrul Mustafa), 1976-
collection MIT
description Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Physics, 2004.
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spelling mit-1721.1/166442019-04-12T09:27:36Z Noise and multistability in gene regulatory networks Ozbudak, Ertugrul M. (Ertugrul Mustafa), 1976- Alexander van Oudenaarden. Massachusetts Institute of Technology. Dept. of Physics. Massachusetts Institute of Technology. Dept. of Physics. Physics. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Physics, 2004. Includes bibliographical references (leaves 103-112). This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Proteins are the functional machinery in living cells. Proteins interact with each other and bind to DNA to form so-called gene regulatory networks and in this way regulate the level, location and timing of expression of other proteins. Cells implement feedback loops to create a memory of their gene expression states. In this way, every differentiated cell in a multicellular organism remembers its expression profile throughout its life. On the other hand, biochemical reactions that take place during gene expression involve small numbers of molecules, and are therefore dominated by large concentration fluctuations. This intrinsic noise has the potential to corrupt memory storage and might result in random transitions between different gene expression states. In the first part of my thesis, I will discuss how the fluctuations in gene expression levels are regulated. The results provided the first experimental evidence that cells can regulate noise in their gene expression by tuning their genetic parameters. In the second half of my thesis, I will discuss how cells create memory by experimentally studying a gene regulatory network that implements a positive feedback loop. A positive feedback loop with nonlinear interactions creates two distinct stable gene expression states. A phase diagram, coupled with a mathematical model of the network, was used to quantitatively investigate the biochemical processes in this network. The response of the network depends on its previous history (hysteresis). Despite the fluctuations in the gene expression, the memory of the gene expression state is preserved for a long time for a broad range of system parameters. (cont.) On the other hand, for some of the parameters, noise causes random transitions of the cells between different gene expression states and results in a bimodal response. Finally, the hysteretic response of the natural system is experimentally converted to an ultrasensitive graded response as predicted by our model. by Ertugrul M. Ozbudak. Ph.D. 2005-05-17T14:46:42Z 2005-05-17T14:46:42Z 2004 2004 Thesis http://hdl.handle.net/1721.1/16644 56210700 eng 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. http://dspace.mit.edu/handle/1721.1/7582 112 leaves 698639 bytes 705732 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Physics.
Ozbudak, Ertugrul M. (Ertugrul Mustafa), 1976-
Noise and multistability in gene regulatory networks
title Noise and multistability in gene regulatory networks
title_full Noise and multistability in gene regulatory networks
title_fullStr Noise and multistability in gene regulatory networks
title_full_unstemmed Noise and multistability in gene regulatory networks
title_short Noise and multistability in gene regulatory networks
title_sort noise and multistability in gene regulatory networks
topic Physics.
url http://hdl.handle.net/1721.1/16644
work_keys_str_mv AT ozbudakertugrulmertugrulmustafa1976 noiseandmultistabilityingeneregulatorynetworks