Abstract
Yeast has been an established model system for cellular aging since more than 50 years and has functioned as a model that allows the investigation of individual gene functions, of gene and protein interactions, and of network structures through individual assays to high-throughput experiments. Thanks to the unbiased screening repertoire yeast will remain as a major workhorse for aging research in the post-genome era, especially for the search for aging modulators and for the system biology of aging.
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Kaeberlein M (2010) Lessons on longevity from budding yeast. Nature 464:513–519
Alic N, Partridge L (2011) Death and dessert: nutrient signalling pathways and ageing. Curr Opin Cell Biol 23:738–743
Longo VD, Shadel GS, Kaeberlein M et al. (2012) Replicative and chronological aging in Saccharomyces cerevi — siae. Cell Metab 16:18–31
Lee SS, Avalos Vizcarra I, Huberts DHEW et al. (2012) Whole lifespan microscopic observation of budding yeast aging through a microfluidic dissection platform. Proc Natl Acad Sci USA 109:4916–4920
Pan Y (2011) Mitochondria, reactive oxygen species, and chronological aging: a message from yeast. Exp Gerontol 46:847–852
Teixeira MT (2013) Saccharomyces cerevisiae as a model to study replicative senescence triggered by telomere shortening. Front Oncol 3:101
Cáp M, Stěpánek L, Harant K et al. (2012) Cell differentiation within a yeast colony: metabolic and regulatory parallels with a tumor-affected organism. Mol Cell 46:436–448
Johnson SC, Rabinovitch PS, Kaeberlein M (2013) mTOR is a key modulator of ageing and age-related disease. Nature 493:338–345
Hubbard BP, Gomes AP, Dai H et al. (2013) Evidence for a common mechanism of SIRT1 regulation by allosteric activators. Science 339:1216–1219
Eisenberg T, Knauer H, Schauer A et al. (2009) Induction of autophagy by spermidine promotes longevity. Nat Cell Biol 11:1305–1314
Stephan J, Franke J, Ehrenhofer-Murray AE (2012) Chemical genetic screen in fission yeast reveals roles for vacuolar acidification, mitochondrial fission and cellular GMP levels in lifespan regulation. Aging Cell, doi: 10.1111/acel.12077
Lorenz DR, Cantor CR, Collins JJ (2009) A network biology approach to aging in yeast. Proc Natl Acad Sci USA 106:1145–1150
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Lei Mao Jahrgang 1970. Studium der Veterinärmedizin, Biotechnologie und Bioinformatik in Peking und Berlin. Postdoc an der Charité und am Max-Planck-Institut für Molekulare Genetik. Habilitation auf dem Gebiet Systembiologie der Alterung und neurodegenera — tiver Krankheiten. Seit 2012 wissenschaftliche Mitarbeiterin in der Abteilung Life Science Engineering der Hochschule für Technik und Wirtschaft (HTW) Berlin und Privatdozentin an der Charité Berlin.
René Lang Jahrgang 1985. Biochemiestudium an der FU Berlin. Seit 2010 wissenschaftlicher Mitarbeiter in der Abteilung Life Science Engineering der HTW Berlin.
Jacqueline Franke Jahrgang 1969. Biotechnologiestudium an der HU und TU Berlin. 2001 Promotion an der Charité und am Max-Delbrück-Centrum Berlin. 2002-2005 Postdoc am Max-Planck-Institut für Molekulare Genetik, danach wissenschaftliche Mitarbeiterin am Zentrum für Medizinische Biotechnologie, Universität Duisburg-Essen. Seit 2007 Professorin für Molekulare Biotechnologie, Abteilung Life Science Engineering, HTW Berlin.
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Mao, L., Lang, R. & Franke, J. Je älter, desto besser — Hefe als Modell — system für die Alterungsforschung. Biospektrum 19, 736–738 (2013). https://doi.org/10.1007/s12268-013-0384-z
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DOI: https://doi.org/10.1007/s12268-013-0384-z