Using the reconstructed genome-scale human metabolic network to study physiology and pathology.

TitleUsing the reconstructed genome-scale human metabolic network to study physiology and pathology.
Publication TypeJournal Article
Year of Publication2012
AuthorsBordbar A, Palsson BO
JournalJ Intern Med
Volume271
Issue2
Pagination131-41
PubMed Date2011-12-7
ISSN1365-2796
KeywordsChromosome Mapping, Computer Simulation, Genome, Human, Humans, Metabolic Diseases, Metabolism, Metabolomics, Models, Biological, Phenotype, Systems Biology
Abstract

Metabolism plays a key role in many major human diseases. Generation of high-throughput omics data has ushered in a new era of systems biology. Genome-scale metabolic network reconstructions provide a platform to interpret omics data in a biochemically meaningful manner. The release of the global human metabolic network, Recon 1, in 2007 has enabled new systems biology approaches to study human physiology, pathology and pharmacology. There are currently more than 20 publications that utilize Recon 1, including studies of cancer, diabetes, host-pathogen interactions, heritable metabolic disorders and off-target drug binding effects. In this mini-review, we focus on the reconstruction of the global human metabolic network and four classes of its application. We show that computational simulations for numerous pathologies have yielded clinically relevant results, many corroborated by existing or newly generated experimental data.

Alternate JournalJ. Intern. Med.
PubMed ID22142339

Location

Location

417 Powell-Focht Bioengineering Hall

9500 Gilman Drive La Jolla, CA 92093-0412

Contact Us

Contact Us

In Silico Lab:  858-822-1144

Wet Lab:  858-246-1625

FAX:   858-822-3120

Website Concerns: sbrgit@ucsd.edu

User Login