DESCRIPTION:
Cells, tissues and organs are complex systems dependent on orchestration of the activities of large networks of genes, proteins and signaling molecules. The emphasis of systems biology is on understanding the emergent properties that arise from the interactions of the biomolecules, cells, tissues and organs that comprise biological networks. Dismantling the system and examining the parts independently do not adequately study this behavior. A deeper understanding of the system occurs by studying each of the parts within the context of the system as a whole. Key technologies for assimilating and integrating the necessary data include tissue and organ-level studies, genomics, proteomics, imaging, bioinformatics, mathematical modeling, computer simulation, data-mining and high-speed computation. An outgrowth of the study of biological systems is the development of an understanding of disease processes and the development of treatments for these diseases. A goal of the Systems Biology and Translational Medicine department is to develop a strong focus on applying the principles of systems biology to human tissues and disease. Major objectives include forming collaborative partnerships with clinical departments on the Temple campus for research, teaching and training programs and translation of experimental therapeutics to the clinical setting, while continuing established interdisciplinary collaborations with the Departments of Biomedical Engineering and Veterinary Physiology at Texas A&M University, research divisions of the Cardiovascular Research Institute and other departments within the various components of the Texas A&M University System.
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HOMEPAGE:
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Click here to view
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DEPARTMENT ID:
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10-13890
(Last edited
on 2007/01/11 09:41:08 US/Mountain
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FACULTY/DEPARTMENT MEMBERS:
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NAME
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POSITION
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EXPERTISE
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PUBS
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CTNS
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VanBuren, Vincent
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Assistant Professor |
computational systems biology; bioinformatics; oligo probe design; microarray analysis; microtubule modeling; gene regulatory networks |
6
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0
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Please note that the total of members' statistics may not equal the department/faculty
statistics due to joint authorship.
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