Linking genetic regulation and the metabolic state

Genome sequencing and the subsequent development of high-throughput probing of cellular states have dramatically increased our ability to understand cellular compensation to perturbation. As such, integrating system-wide measurements (e.g. gene expression) with networks of protein-protein interactions and transcription factor binding has been proven as an effective means to help elucidate insights into cellular behavior. This very cellular behavior, however, is most closely linked to the metabolites and metabolic interactions occurring within the cell. Despite this fact, metabolic measurements are often given a secondary role in efforts to unravel the multi-tiered regulatory response of cells to perturbations. To begin to address this gap, we first report on the development the application of a novel derivatization method for metabolome analysis of yeast, coupled to data-mining software that achieve comparable throughput, effort, and cost compared with DNA arrays. Our sample workup method enables simultaneous metabolite measurements with coverage throughout central carbon metabolism and amino acid biosynthesis, using a standard Gas Chromatography Mass Spectrometry (GC-MS) platform optimized for this purpose.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Chemical Engineering.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2007

Author dc:creator

• Moxley, Joel Forrest

Advisor dc:contributor.advisor

• Gregory N. Stephanopoulos.

• Chemical Engineering.

Statement dc:rights

• 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.

Licence dc:rights.uri

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

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/38967

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/38967