A Systems Approach for Dissecting Integrated Signaling Pathways: TORC1 and Ras/PKA Regulation of Glucose Induced Growth Control in S. cerevisiae

Persistent Link:
http://hdl.handle.net/10150/578637
Title:
A Systems Approach for Dissecting Integrated Signaling Pathways: TORC1 and Ras/PKA Regulation of Glucose Induced Growth Control in S. cerevisiae
Author:
Kunkel, Joseph
Issue Date:
2015
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
One of the leading aims of systems biology is the complete delineation of the organization and architecture of signaling networks. Within this aim, characterizing integrated circuits is a particular challenge. Integrated circuits are the sites of information multiplexing, where input from multiple sources are combined into a single output or channel. A number of quantitative methods for analyzing epistasis within integrated pathways have been developed, with limited success. Here I present Expression Component Analysis, a novel approach for determining quantitative epistasis within an integrated signaling circuit, and describe the application of Expression Component Analysis in analyzing an interesting and important integrated signaling circuit in the model eukaryote, S.cerevisiae.
Type:
text; Electronic Dissertation
Keywords:
circuit; epistasis; network; Saccharomyces; systems; Genetics; cerevisiae
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Graduate College; Genetics
Degree Grantor:
University of Arizona
Advisor:
Capaldi, Andrew

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.titleA Systems Approach for Dissecting Integrated Signaling Pathways: TORC1 and Ras/PKA Regulation of Glucose Induced Growth Control in S. cerevisiaeen_US
dc.creatorKunkel, Josephen
dc.contributor.authorKunkel, Josephen
dc.date.issued2015en
dc.publisherThe University of Arizona.en
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en
dc.description.abstractOne of the leading aims of systems biology is the complete delineation of the organization and architecture of signaling networks. Within this aim, characterizing integrated circuits is a particular challenge. Integrated circuits are the sites of information multiplexing, where input from multiple sources are combined into a single output or channel. A number of quantitative methods for analyzing epistasis within integrated pathways have been developed, with limited success. Here I present Expression Component Analysis, a novel approach for determining quantitative epistasis within an integrated signaling circuit, and describe the application of Expression Component Analysis in analyzing an interesting and important integrated signaling circuit in the model eukaryote, S.cerevisiae.en
dc.typetexten
dc.typeElectronic Dissertationen
dc.subjectcircuiten
dc.subjectepistasisen
dc.subjectnetworken
dc.subjectSaccharomycesen
dc.subjectsystemsen
dc.subjectGeneticsen
dc.subjectcerevisiaeen
thesis.degree.namePh.D.en
thesis.degree.leveldoctoralen
thesis.degree.disciplineGraduate Collegeen
thesis.degree.disciplineGeneticsen
thesis.degree.grantorUniversity of Arizonaen
dc.contributor.advisorCapaldi, Andrewen
dc.contributor.committeememberCapaldi, Andrewen
dc.contributor.committeememberDieckmann, Carolen
dc.contributor.committeememberNagy, Lisaen
dc.contributor.committeememberWeinert, Teden
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