Stochastic regulation of signaling in lymphocytes

Thesis: Ph. D., Massachusetts Institute of Technology, Department of Chemistry, 2016.

Bibliographic Details
Main Author: Chen, Hang, Ph. D. Massachusetts Institute of Technology
Other Authors: Arup K. Chakraborty.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2016
Subjects:
Online Access:http://hdl.handle.net/1721.1/105020
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author Chen, Hang, Ph. D. Massachusetts Institute of Technology
author2 Arup K. Chakraborty.
author_facet Arup K. Chakraborty.
Chen, Hang, Ph. D. Massachusetts Institute of Technology
author_sort Chen, Hang, Ph. D. Massachusetts Institute of Technology
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description Thesis: Ph. D., Massachusetts Institute of Technology, Department of Chemistry, 2016.
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spelling mit-1721.1/1050202019-04-12T16:21:48Z Stochastic regulation of signaling in lymphocytes Chen, Hang, Ph. D. Massachusetts Institute of Technology Arup K. Chakraborty. Massachusetts Institute of Technology. Department of Chemistry. Massachusetts Institute of Technology. Department of Chemistry. Chemistry. Thesis: Ph. D., Massachusetts Institute of Technology, Department of Chemistry, 2016. Cataloged from PDF version of thesis. Includes bibliographical references (pages 123-134). Humans are exposed to a variety of infectious pathogens, such as virus, bacteria, etc. But we survive thanks to our immune systems. One of the important immune systems is the adaptive immune system, which mounts pathogen specific immune responses. The orchestrators are lymphocytes, including B cells and T cells. When lymphocytes are stimulated strongly enough by infected or antigen-presenting cells, the signal will be transmitted through a complex network of biochemical reactions underlying the cellular functions. Such a complex network is fundamentally regulated by stochastic principles with intriguing behaviors. This thesis aims to understand the signaling network in lymphocytes and the stochastic regulation behind. In lymphocytes, mitogen-activated protein (MAP) kinases can be triggered by various stimuli (growth factors, cytokines, etc.) with significant cellular responses (proliferation, inflammation, etc.). We first investigate the roles of upstream proteins, Son of Sevenless (SOS) and Ras guanyl-releasing protein (RasGRP), in MAP kinases, Erk and P38, activation. The signaling pathways of P38 activation are still elusive. In Chapter 3, we study two signaling pathways for P38 activation, the classical pathway through the linker for activation of T cells (LAT) complex and the alternative pathway directly via ZAP-70 molecules. In both of studies, we bring together computational tools, stochastic theories and cell biology by collaborating with biologists, Professor Jeroen Roose and Dr. Jesse Jun, in University of California, San Francisco. In biochemical systems, like lymphocytes, fluctuations are ubiquitous. Such noise may drive biochemical systems from one stable state to the other with biological significance. In this part of the work, we investigate fluctuation-driven transitions in two biochemical models: genetic toggle switches (GTS) and self/non-self peptide-major histocompatibility complex (MHC) discrimination models. In the GTS model, we introduce dynamical disorder in rate coefficients and study its influences in optimal transition paths, transition rates, and the stationary probability distribution of the system. In peptide-MHC discrimination part, we investigate the effects of a conformational change step of ZAP-70 molecules on the sensitivity and robustness of the discrimination. by Hang Chen. Ph. D. 2016-10-25T19:49:43Z 2016-10-25T19:49:43Z 2016 2016 Thesis http://hdl.handle.net/1721.1/105020 959552174 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 134 pages application/pdf Massachusetts Institute of Technology
spellingShingle Chemistry.
Chen, Hang, Ph. D. Massachusetts Institute of Technology
Stochastic regulation of signaling in lymphocytes
title Stochastic regulation of signaling in lymphocytes
title_full Stochastic regulation of signaling in lymphocytes
title_fullStr Stochastic regulation of signaling in lymphocytes
title_full_unstemmed Stochastic regulation of signaling in lymphocytes
title_short Stochastic regulation of signaling in lymphocytes
title_sort stochastic regulation of signaling in lymphocytes
topic Chemistry.
url http://hdl.handle.net/1721.1/105020
work_keys_str_mv AT chenhangphdmassachusettsinstituteoftechnology stochasticregulationofsignalinginlymphocytes