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systems biology
Saturday 18 November 2006
Systems medicine
Contemporary views of human disease are based on simple correlation between clinical syndromes and pathological analysis dating from the late 19th century. Although this approach to disease diagnosis, prognosis, and treatment has served the medical establishment and society well for many years, it has serious shortcomings for the modern era of the genomic medicine that stem from its reliance on reductionist principles of experimentation and analysis.
Quantitative, holistic systems biology applied to human disease offers a unique approach for diagnosing established disease, defining disease predilection, and developing individualized (personalized) treatment strategies that can take full advantage of modern molecular pathobiology and the comprehensive data sets that are rapidly becoming available for populations and individuals.
In this way, systems pathobiology offers the promise of redefining our approach to disease and the field of medicine.
Open References
Systems biology and the future of medicine. Loscalzo J, Barabasi AL. Wiley Interdiscip Rev Syst Biol Med. 2011 Nov-Dec;3(6):619-27. doi : 10.1002/wsbm.144 PMID: 21928407 (Free)
References
Systems biology: Small genome, complex regulation. Flintoft L. Nat Rev Genet. 2010 Jan;11(1):3. PMID: 20050270
Aloy P, Russell RB. Structural systems biology: modelling protein interactions. Nat Rev Mol Cell Biol. 2006 Mar;7(3):188-97. PMID: 16496021
Joyce AR, Palsson BO. The model organism as a system: integrating ’omics’ data sets. Nat Rev Mol Cell Biol. 2006 Mar;7(3):198-210. PMID: 16496022
Albeck JG, Macbeath G, White FM, Sorger PK, Lauffenburger DA, Gaudet S. Collecting and organizing systematic sets of protein data. Nat Rev Mol Cell Biol. 2006 Nov;7(11):803-812. PMID: 17057751
Pepperkok R, Ellenberg J. High-throughput fluorescence microscopy for systems biology. Nat Rev Mol Cell Biol. 2006 Sep;7(9):690-6. PMID: 16850035
Brazma A, Krestyaninova M, Sarkans U. Standards for systems biology. Nat Rev Genet. 2006 Aug;7(8):593-605. PMID: 16847461
[Institute fo Systems Biology->http://www.systemsbiology.org/] (Seattle)