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Integration of multiple 'omics data sets into a predictive model of biofuel production in E. coli and S. cerevisiae


EMSL Project ID
47558

Abstract

We propose to integrate transcriptomics, proteomic, metabolomic and 13C labeling data to create a multi-scale model of cellular metabolism able to predict quantitatively the amount of biofuel flux produced by genetically engineered E. coli and S. cerevisiae. We will leverage the Joint BioEnergy Institute’s (JBEI) proven capability to manufacture biofuel producing strains and to produce combinatorial variations of pathways in conjunction with EMSL’s strength in high-throughput ‘omics data generation to generate enough data to statistically validate our models. We will use a 13C labeling experiments to measure fluxes and use proteomic, metabolomic and transcriptomic data to predict them as accurately as possible. This effort will be used to develop and test a rapid metabolic engineering tool being developed currently at JBEI.

Project Details

Project type
Large-Scale EMSL Research
Start Date
2012-10-01
End Date
2013-09-30
Status
Closed

Team

Principal Investigator

Hector Garcia Martin
Institution
Lawrence Berkeley National Laboratory

Co-Investigator(s)

Taek Soon Lee
Institution
Lawrence Berkeley National Laboratory