Open Access
Open access
eLife, volume 4

Protein biogenesis machinery is a driver of replicative aging in yeast

Janssens Georges E. 1
Meinema Anne C. 2
Wolters Justina C. 4
Schmidt Alexander 5
Guryev Victor 1
Bischoff Rainer 4
Wit Ernst C. 3
Veenhoff Liesbeth M 1
Heinemann Matthias 2
1
 
European Research Institute for the Biology of Ageing, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
2
 
Molecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, the Netherlands
3
 
Probability and Statistics, Johann Bernoulli Institute of Mathematics and Computer Science, University of Groningen, Groningen, The Netherlands
4
 
Analytical Biochemistry, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, The Netherlands
Publication typeJournal Article
Publication date2015-12-01
Journal: eLife
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor7.7
ISSN2050084X
PubMed ID:  26422514
General Biochemistry, Genetics and Molecular Biology
General Medicine
General Immunology and Microbiology
General Neuroscience
Abstract
An integrated account of the molecular changes occurring during the process of cellular aging is crucial towards understanding the underlying mechanisms. Here, using novel culturing and computational methods as well as latest analytical techniques, we mapped the proteome and transcriptome during the replicative lifespan of budding yeast. With age, we found primarily proteins involved in protein biogenesis to increase relative to their transcript levels. Exploiting the dynamic nature of our data, we reconstructed high-level directional networks, where we found the same protein biogenesis-related genes to have the strongest ability to predict the behavior of other genes in the system. We identified metabolic shifts and the loss of stoichiometry in protein complexes as being consequences of aging. We propose a model whereby the uncoupling of protein levels of biogenesis-related genes from their transcript levels is causal for the changes occurring in aging yeast. Our model explains why targeting protein synthesis, or repairing the downstream consequences, can serve as interventions in aging. DOI: http://dx.doi.org/10.7554/eLife.08527.001

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GOST Copy
Janssens G. E. et al. Protein biogenesis machinery is a driver of replicative aging in yeast // eLife. 2015. Vol. 4.
GOST all authors (up to 50) Copy
Janssens G. E., Meinema A. C., Gonzalez J., Wolters J. C., Schmidt A., Guryev V., Bischoff R., Wit E. C., Veenhoff L. M., Heinemann M. Protein biogenesis machinery is a driver of replicative aging in yeast // eLife. 2015. Vol. 4.
RIS |
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RIS Copy
TY - JOUR
DO - 10.7554/eLife.08527
UR - https://doi.org/10.7554%2FeLife.08527
TI - Protein biogenesis machinery is a driver of replicative aging in yeast
T2 - eLife
AU - Janssens, Georges E.
AU - Meinema, Anne C.
AU - Gonzalez, Javier
AU - Wolters, Justina C.
AU - Schmidt, Alexander
AU - Guryev, Victor
AU - Bischoff, Rainer
AU - Wit, Ernst C.
AU - Veenhoff, Liesbeth M
AU - Heinemann, Matthias
PY - 2015
DA - 2015/12/01 00:00:00
PB - eLife Sciences Publications
VL - 4
PMID - 26422514
SN - 2050-084X
ER -
BibTex
Cite this
BibTex Copy
@article{2015_Janssens,
author = {Georges E. Janssens and Anne C. Meinema and Javier Gonzalez and Justina C. Wolters and Alexander Schmidt and Victor Guryev and Rainer Bischoff and Ernst C. Wit and Liesbeth M Veenhoff and Matthias Heinemann},
title = {Protein biogenesis machinery is a driver of replicative aging in yeast},
journal = {eLife},
year = {2015},
volume = {4},
publisher = {eLife Sciences Publications},
month = {dec},
url = {https://doi.org/10.7554%2FeLife.08527},
doi = {10.7554/eLife.08527}
}
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