Seminars & Events

Computing, Environment and Life Sciences/Mathematics and Computer Science Division
"Integrative Modeling of Genetic, Transcriptional Regulatory, and Metabolic Networks"

DATE: December 2, 2010
TIME: 11:00 AM - 12:00 PM
SPEAKER: Nathan Price, Assistant Professor
LOCATION: Building 240, Room 4301, Argonne National Laboratory
HOST: Chris Henry

Description:
Seminar Title: Integrative Modeling of Genetic, Transcriptional Regulatory, and Metabolic Networks

ABSTRACT: Biological networks are highly useful to integrate data of diverse types across multiple scales of space and time. In my talk, I will address three major classes of networks and the biology they help elucidate. First, I will discuss our new method for integrating statistically learned transcriptional regulatory networks with biochemically detailed metabolic networks, called probabilistic regulation of metabolism (PROM) (Chandrasekaran and Price, PNAS, 2010). We have used PROM to reconstruct state-of-the-art integrated regulatory-metabolic models for the widely studied Escherichia coli and Saccharomyces cerevisiae, as well as for the pathogen M. tuberculosis. I will also briefly discuss implications for metabolic modeling from emerging data on single-cell protein copy number differences (Kim and Price, Physical Review Letters, 2010). Then, I will present our recent reconstruction of the first genome-scale, quantitative predictive model of a transcriptional regulatory network for a brain, done for the honey bee Apis mellifera. Finally, I will discuss the derivation of a network of putative epistatic relationships by studying highly enriched co-occurring orthologs (comologs) across all sequenced bacteria, and demonstrate how such information can be useful for interpreting datasets such as protein-proteininteractions (manuscript currently under review at Science). Taken together, network analysis – whether in individual cells or across the time scale of evolution – provides a powerful tool for harnessing high-throughput data to drive biological discovery.

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