Andres Kriete, PhD
Associate Dean for Academic Affairs,
Associate Teaching Professor
Office: Bossone 718-B
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 have established an aging model for post-mitotic cells through “Energy Restriction in Quiescence” (ERiQ), resembling stress responses and transcriptional regulation seen in many aging tissues.
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.
Alfego D, Rodeck U, Kriete A: Global mapping of transcription factor motifs in human aging. PLOSOne. In press. (compares experimental platforms including ERiQ with aging tissues)
Alfego D, Kriete A: Simulation of Cellular Energy Restriction in Quiescence (ERiQ) - A Theoretical Model for Aging. Biology (Basel), 2017 (computational ERiQ model)
Yalamanchili N, Kriete A, Alfego A, Danowski KM, Kari C and Rodeck U. Distinct Cell Stress Responses Induced by ATP Restriction in Quiescent Human Fibroblasts. Frontier Genetics, 04 October 2016 (experimental ERiQ model)
Kriete A. Robustness and Aging - A Systems Level Perspective. BioSystems, April 2013.
Also see Accepted Manuscript
Kriete A, Eils R. Computational Systems Biology, 2005, and 2nd edition, 2013 Elsevier - Academic Press.
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.