BIOspektrum

, Volume 20, Issue 2, pp 163–166 | Cite as

Transkriptom-Sequenzierung in der Alternsforschung

Biologie des Alterns
  • Marco Groth
  • Kathrin Reichwald
  • Karol Szafranski
  • Stefan Taudien
  • Matthias Platzer
Wissenschaft · Special: Next Generation Sequencing

Abstract

With the advent of next-generation sequencing technologies transcriptome sequencing (RNA-seq) became widely used to study the genetic background of ageing processes and related diseases. We describe the power of this method in the study of two novel age research model organisms, the short-lived killifish Nothobranchius furzeri and the long-lived naked mole rat Heterocephalus glaber. A third example illustrates the utility of RNA-seq in a multispecies approach elucidating the role of mild stress in healthy ageing.

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Literatur

  1. [1]
    Hartmann N, Reichwald K, Lechel A et al. (2009) Telomeres shorten while Tert expression increases during ageing of the short-lived fish Nothobranchius furzeri. Mech Ageing Dev 130:290–296PubMedCrossRefGoogle Scholar
  2. [2]
    Terzibasi E, Valenzano DR, Benedetti M et al. (2008) Large differences in aging phenotype between strains of the short-lived annual fish Nothobranchius furzeri. PLoS One 3:e3866PubMedCentralPubMedCrossRefGoogle Scholar
  3. [3]
    Di Cicco E, Tozzini ET, Rossi G et al. (2011) The short-lived annual fish Nothobranchius furzeri shows a typical teleost aging process reinforced by high incidence of age-dependent neoplasias. Exp Gerontol 46:249–256PubMedCrossRefGoogle Scholar
  4. [4]
    Petzold A, Reichwald K, Groth M et al. (2013) The transcript catalogue of the short-lived fish Nothobranchius furzeri provides insights into age-dependent changes of mRNA levels. BMC Genomics 14:185PubMedCentralPubMedCrossRefGoogle Scholar
  5. [5]
    Buffenstein R (2005) The naked mole-rat: a new long-living model for human aging research. J Gerontol A Biol Sci Med Sci 60:1369–1377PubMedCrossRefGoogle Scholar
  6. [6]
    Yu C, Li Y, Holmes A et al. (2011) RNA sequencing reveals differential expression of mitochondrial and oxidation reduction genes in the long-lived naked mole-rat when compared to mice. PLoS One 6:e26729PubMedCentralPubMedCrossRefGoogle Scholar
  7. [7]
    Kim EB, Fang X, Fushan AA et al. (2011) Genome sequencing reveals insights into physiology and longevity of the naked mole rat. Nature 479:223–227PubMedCentralPubMedCrossRefGoogle Scholar
  8. [8]
    Blacker D, Wilcox MA, Laird NM et al. (1998) Alpha-2 macroglobulin is genetically associated with Alzheimer disease. Nat Genet 19:357–360PubMedCrossRefGoogle Scholar
  9. [9]
    Harman D (1956) Aging: a theory based on free radical and radiation chemistry. J Gerontol 11:298–300PubMedCrossRefGoogle Scholar
  10. [10]
    Schulz TJ, Zarse K, Voigt A et al. (2007) Glucose restriction extends Caenorhabditis elegans life span by inducing mitochondrial respiration and increasing oxidative stress. Cell Metab 6:280–293PubMedCrossRefGoogle Scholar
  11. [11]
    Kenyon C, Chang J, Gensch E et al. (1993) A C. elegans mutant that lives twice as long as wild type. Nature 366:461–464PubMedCrossRefGoogle Scholar
  12. [12]
    Zarse K, Schmeisser S, Groth M et al. (2012) Impaired insulin/IGF1 signaling extends life span by promoting mitochondrial L-proline catabolism to induce a transient ROS signal. Cell Metab 15:451–465PubMedCrossRefGoogle Scholar
  13. [13]
    Kirschner J, Weber D, Neuschl C et al. (2012) Mapping of quantitative trait loci controlling lifespan in the short-lived fish Nothobranchius furzeri — a new vertebrate model for age research. Aging Cell 11:252–261PubMedCentralPubMedCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Marco Groth
    • 1
  • Kathrin Reichwald
    • 1
  • Karol Szafranski
    • 1
  • Stefan Taudien
    • 1
    • 2
  • Matthias Platzer
    • 1
  1. 1.Leibniz-Institut für AltersforschungFritz-Lipmann-Institut (FLI)JenaGermany
  2. 2.Leibniz-Institut für AltersforschungFritz-Lipmann-Institut (FLI)JenaGermany

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