Literature DB >> 20886767

Confronting cellular heterogeneity in studies of protein metabolism and homeostasis in aging research.

Louise Boisen1, Peter Kristensen.   

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 celllines are cultivated, thus undergoing cellular senescence according to the Hayflick phenomenon. Alternatively, model organisms can be included, such as yeast, nematodes and zebra fish. 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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Year:  2010        PMID: 20886767     DOI: 10.1007/978-1-4419-7002-2_16

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  2 in total

1.  Changes in splicing factor expression are associated with advancing age in man.

Authors:  Alice C Holly; David Melzer; Luke C Pilling; Alexander C Fellows; Toshiko Tanaka; Luigi Ferrucci; Lorna W Harries
Journal:  Mech Ageing Dev       Date:  2013-06-06       Impact factor: 5.432

2.  The San Diego Nathan Shock Center: tackling the heterogeneity of aging.

Authors:  Gerald S Shadel; Peter D Adams; W Travis Berggren; Jolene K Diedrich; Kenneth E Diffenderfer; Fred H Gage; Nasun Hah; Malene Hansen; Martin W Hetzer; Anthony J A Molina; Uri Manor; Kurt Marek; David D O'Keefe; Antonio F M Pinto; Alessandra Sacco; Tatyana O Sharpee; Maxim N Shokriev; Stefania Zambetti
Journal:  Geroscience       Date:  2021-08-09       Impact factor: 7.713

  2 in total

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