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Protein Metabolism and Homeostasis in Aging pp 234–244Cite as

Confronting Cellular Heterogeneity in Studies of Protein Metabolism and Homeostasis in Aging Research

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Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 694))

Abstract

In this chapter we review the different technologies that can be applied in the analysis of protein homeostasis and metabolism in aging research. Special focus will be on technologies with a potential to circumvent the problems associated with cell heterogeneity in biomarker discovery. Often studies aimed at increasing our understanding of cellular senescence take advantage of model systems. This can be in the form of cell culture, where specific cell lines are cultivated, thus undergoing cellular senescence according to the Hayflick phenomenon. 1 Alternatively, model organisms can be included, such as yeast, nematodes and zebra fish.2-5 Even though such model systems allow the researcher to control many parameters of the system, it is well established that even in a simple cell culture system the individual cells are morphologically and functionally different.

The heterogeneity observed even within the least complex systems, makes it a difficult task to identify biomarkers of cellular senescence and to fully understand the various molecular networks. The complexity is further increased when taking the step from model systems of aging to human aging.

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  1. Peter Kristensen—Department of Molecular Biology, University of Aarhus, Aarhus, Denmark

    Louise Boisen & Peter Kristensen

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  1. Louise Boisen
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Correspondence to Peter Kristensen .

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  1. Institute of Molecular Biology and Biotechnology (IMBB), Foundation for Research and Technology Hellas (FORTH), Heraklion, Crete, Greece

    Nektarios Tavernarakis PhD

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Boisen, L., Kristensen, P. (2010). Confronting Cellular Heterogeneity in Studies of Protein Metabolism and Homeostasis in Aging Research. In: Tavernarakis, N. (eds) Protein Metabolism and Homeostasis in Aging. Advances in Experimental Medicine and Biology, vol 694. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-7002-2_16

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