Systems Pharmacology and Biomedicine is an emerging area of research aiming to improve drug discovery and make treatment for each patient highly individualized. The rationale behind is that the therapeutic decisions for each patient will be based on the results of molecular tests that will provide credible, quantitative information of efficacy and adverse effects of each available drug for a particular patient.
Our lab is focusing on health problems in which an unbalanced interaction between immune, other host systems and different microbes leads to pathology. Those diseases range from immunodeficiency- associated enteropathy to cervical cancer and acute rejection of heart and renal transplants. We employ multiple large-scale quantitative approaches (also called “omics” (http://en.wikipedia.org/wiki/Omics) to generate the data and use this data to make predictive statistical models and networks that allow us to address three major topics:
- Discover new or repurpose old drugs
- Generate diagnostic/predictive “omics” signatures for personalized medicine
- Validate experimental animal models for human research using “omics” approaches.
Selected Publications
2015
Uncovering effects of antibiotics on the host and microbiota using transkingdom gene networks Morgun A, Dzutsev A, Dong X, Greer RL, Sexton DJ, Ravel J, Schuster M, Hsiao W, Matzinger P, Shulzhenko N. Gut. 2015 Nov;64(11):1732-43. doi: 10.1136/gutjnl-2014-308820. Epub 2015 Jan 22 Uncovering effects of antibiotics on the host and microbiota using transkingdom gene networks-Morgun-et-al_Supplemental material: Gut2015-SUPPLEM-MATERIAL-ALL121214 Gut_2015-Supplem tables S1-4 tables S1-4_08-20-14_1
Reverse enGENEering of Regulatory Networks from Big Data: A Roadmap for Biologists. Dong X, Yambartsev A, Ramsey SA, Thomas LD, Shulzhenko N, Morgun A. Bioinform Biol Insights. 2015 Apr 29;9:61-74. doi: 10.4137/BBI.S12467. eCollection 2015. Review. PubMed PMID: 25983554 ;article pdf
Adriano de Moraes Arantes1,2, Kharen Kawemura
1, Adriana Seber
3, José Salvador Rodrigues de Oliveira
2,4, Maria Gerbase-DeLima
1,
Natalia Shulzhenko1,5,
Andrey Morgun1,6 F1000Research 2015,
4:1458 (doi:
10.12688/f1000research.7330.1);
full text
2014
Ménage à trois: an evolutionary interplay between human papillomavirus, a tumor, and a woman. Shulzhenko N, Lyng H, Sanson GF, Morgun A. Trends Microbiol. 2014 Jun;22(6):345-53. doi: 10.1016/j.tim.2014.02.009. Epub 2014 Mar 24. Review.PMID: 24674660.
2013
Bridging immunity and lipid metabolism by gut microbiota. Greer RL, Morgun A, Shulzhenko N. J Allergy Clin Immunol. 2013 Aug;132(2):253-62; quiz 263. doi: 10.1016/j.jaci.2013.06.025. Review. PMID: 23905915
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Gene network reconstruction reveals cell cycle and antiviral genes as major drivers of cervical cancer. Mine KL, Shulzhenko N, Yambartsev A, Rochman M, Sanson GF, Lando M, Varma S, Skinner J, Volfovsky N, Deng T, Brenna SM, Carvalho CR, Ribalta JC, Bustin M, Matzinger P, Silva ID, Lyng H, Gerbase-DeLima M, Morgun A. Nat Commun. 2013;4:1806. doi: 10.1038/ncomms2693. PMID: 23651994
2011
Crosstalk between B lymphocytes, microbiota and the intestinal epithelium governs immunity versus metabolism in the gut. Shulzhenko N,Morgun A, Hsiao W, Battle M, Yao M, Gavrilova O, Orandle M, Mayer L, Macpherson AJ, McCoy KD, Fraser-Liggett C, Matzinger P. Nat Med. 2011 Nov 20;17(12):1585-93. doi: 10.1038/nm.2505. PMID: 22101768