Monica Mo

Post-doctoral Researcher

I am currently a post-doctoral researcher working on modeling host-pathogen interactions between murine macrophage cell lines and Salmonella. As a graduate student with the Systems Biology Research Group, my PhD thesis focused on the systems-level integration and analysis of high-throughput 'omic' datasets to characterize physiological and perturbed states in yeast and human systems.

Publications

Mo, M.L., Palsson, B.O., Herrgard, M.J., Connecting extracellular metabolomic profiles to intracellular metabolic states in yeast. BMC Systems Biology. 3:37 (2009).

Mo, M.L. and Palsson, B.Ø. Understanding human metabolic physiology: A genome-to-systems approach, Trends in Biotechnology. 27(1):37-44 (2009).

Herrgård, M. J., Swainston, N., Dobson, P., Dunn, W. B., Arga, K. Y., Arvas, M., Blüthgen, N., Borger, S., Costenoble, R., Heinemann, M., Hucka, M., Le Novère, N., Li, P., Liebermeister, W., Mo, M. L., Oliveira, A. P., Petranovic, D., Pettifer, S., Simeonidis, E., Smallbone, K., Spasić, I., Weichart, D., Brent, R., Broomhead, D. S., Westerhoff, H. V., Kırdar, B., Penttilä, M., Klipp, E., Palsson, B. Ø., Sauer, U., Oliver, S. G., Mendes, P., Nielsen, J. & Kell, D. B., A consensus yeast metabolic network obtained from a community approach to systems biology., "Nature Biotechnology", 26: 1155-1160 (2008).

Mo, M.L., Jamshidi, N., Palsson, B.Ø., "A Genome-scale, Constraint-based Approach to Systems Biology of Human Metabolism.," Molecular Biosystems. 3:9 (2007).

Becker, S.A., Feist, A.M., Mo, M. L., Hannum, G., Palsson, B.Ø., Herrgard, M.J. Quantitative prediction of cellular metabolism with constraint-based models: The COBRA Toolbox., Nat. Protocols, 2, 727-738 (2007).

Duarte, N.D., Becker, S.A., Jamshidi, N., Thiele, I., Mo, M.L., Vo, T.D., Srivas, R., Palsson, B.Ø., Global reconstruction of the human metabolic network based on genomic and bibliomic data, Proc Natl Acad. Sci U S A, 104(6):1777-82 (2007).

Contact Information

Email Address: mlmo-at-ucsd.edu

Phone: (858)822-1168

Mailing Address: 9500 Gilman Drive Mail Code 0412 La Jolla, CA 92093-0412

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

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