Habilitation (Venia legendi), Medical Informatics, University of Giessen, Medical School, 1997
PhD, Physics, University of Bremen Germany, 1985
Diploma, Physics, University of Bremen Germany, 1981
Systems biology of aging, control theory, aging physiome, and high-content cellular bioimaging.
The focus of my research is on the systems biology of aging, taking an integrative view of a biological process that disturbs a broad range of cellular and physiological functions in a complex and global fashion. We explore concepts from engineering (complex systems, robustness, control theory) to decipher the biology of aging at the intersection of experimental, computational, and theoretical biology. We investigate cellular regulation in skin fibroblasts from donors of different ages, as well as skin cancer tissues and cell lines in collaboration with our clinical partners.
We have suggested that aging is a robustness tradeoff of complex evolutionary systems, which provides evolutionary theories of aging with an engineering-oriented view. We use feedback loop motifs from control theory in conjunction with rule-based descriptors to assemble generic whole cell models predicting the progression of aging. The approach demonstrates the interaction of ongoing damage, stress response, and adaptive-regulatory mechanisms. Such models can be executed rapidly and repeatedly to study the effect of molecular mechanisms on the aging phenotype.
In 2007, I co-organized a first workshop on the Systems Biology of Aging at the Santa Fe Institute, NM, entitled "Complexities of Aging in Biological Systems." Subsequent 2008 and 2009 meetings promoting systems approaches in aging included seminars held at ASU and NIH-NIA, under the title of "Systems Biology in Human Aging," which was continued as SBHA-2010 in Philadelphia, PA.
My teaching interests are in Biosimulation, Principles of Systems Analysis, Biostatistics and Bioimaging.
Kriete A, Eils R. Computational Systems Biology
, 2005, and 2nd edition, 2013 Elsevier - Academic Press.
Kriete A. Robustness and Aging
- A Systems Level Perspective. BioSystems, April 2013.
Kriete A, Lechner M, Clearfield D, Bohman D. Computational Systems Biology of Aging. Wiley Interdisciplinary Syst. Biol. Med. Reviews 2011 Jul 3(4): 414-428.
Shrinivasan V, Kriete A, Sacan A, Jazwinski M. Comparing the yeast retrograde response and NF-kB stress responses. Aging Cell 2010 Dec 9(6): 933-941.
Kriete A, Bosl WJ, Booker G. Rule-based cell systems model of aging using feedback loop motifs mediated by stress responses
. PLoS Comput Biol. 2010 Jun 17;6(6):e1000820.
Kriete A, Mayo KL. Atypical mechanisms of NF-kB activation and aging. Experimental Gerontology, 2009 Apr 44(4):250-255.