CBE Spring Centennial Seminar -Jennifer Reed
Application of Systems Biology to Engineering
Cellular Metabolism
Genome-scale networks of metabolism and regulation can be reconstructed from an organism’s genome annotation. Computational models generated from these reconstructions can be used to integrate and analyze different types of experimental data in order to generate hypotheses about biochemical network structure, interactions between organisms and their environments, and responses to genetic and environmental perturbations. We have recently developed new algorithms for proposing metabolic engineering strategies based on metabolic and regulatory model predictions. The proposed genetic strategies can involve transcription factor and metabolic gene deletions, as well as enzyme over or under expression. Using these computational approaches we identified genetic strategies for enhancing production of pyruvate from glucose and co-utilization of xylose from plant hydrolysate. Experiments showed that the computationally designed strains were able to produce up to 95% of the maximum theoretical yield of pyruvate or co-utilize 93% of the xylose present in hydrolysate derived from AFEX pretreated switchgrass. These examples illustrate how integrating computational and experimental approaches can lead to novel metabolic engineering strategies and accelerate metabolic engineering efforts.
Friday, April 24, 2015 at 10:00am to 11:00am
Colburn Lab, Room 102
University of Delaware- Colburn Lab, University of Delaware, 150 Academy St, Newark, DE 19716-3196, USA
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Academics, College of Engineering, Students, Lectures & Programs, Community, Lectures and Programs
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Chil Alba
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302-831-2064
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