Literature DB >> 28679685

Changes of Protein Turnover in Aging Caenorhabditis elegans.

Ineke Dhondt1, Vladislav A Petyuk2, Sophie Bauer1, Heather M Brewer2, Richard D Smith2, Geert Depuydt1,3, Bart P Braeckman4.   

Abstract

Protein turnover rates severely decline in aging organisms, including C. elegans However, limited information is available on turnover dynamics at the individual protein level during aging. We followed changes in protein turnover at one-day resolution using a multiple-pulse 15N-labeling and accurate mass spectrometry approach. Forty percent of the proteome shows gradual slowdown in turnover with age, whereas only few proteins show increased turnover. Decrease in protein turnover was consistent for only a minority of functionally related protein subsets, including tubulins and vitellogenins, whereas randomly diverging turnover patterns with age were the norm. Our data suggests increased heterogeneity of protein turnover of the translation machinery, whereas protein turnover of ubiquitin-proteasome and antioxidant systems are well-preserved over time. Hence, we presume that maintenance of quality control mechanisms is a protective strategy in aging worms, although the ultimate proteome collapse is inescapable.
© 2017 by The American Society for Biochemistry and Molecular Biology, Inc.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28679685      PMCID: PMC5587862          DOI: 10.1074/mcp.RA117.000049

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  53 in total

Review 1.  Protein turnover plays a key role in aging.

Authors:  Alexey G Ryazanov; Bradley S Nefsky
Journal:  Mech Ageing Dev       Date:  2002-01       Impact factor: 5.432

2.  Quantitative mass spectrometry identifies insulin signaling targets in C. elegans.

Authors:  Meng-Qiu Dong; John D Venable; Nora Au; Tao Xu; Sung Kyu Park; Daniel Cociorva; Jeffrey R Johnson; Andrew Dillin; John R Yates
Journal:  Science       Date:  2007-08-03       Impact factor: 47.728

3.  DtaRefinery, a software tool for elimination of systematic errors from parent ion mass measurements in tandem mass spectra data sets.

Authors:  Vladislav A Petyuk; Anoop M Mayampurath; Matthew E Monroe; Ashoka D Polpitiya; Samuel O Purvine; Gordon A Anderson; David G Camp; Richard D Smith
Journal:  Mol Cell Proteomics       Date:  2009-12-17       Impact factor: 5.911

4.  Metal-catalyzed oxidation induces carbonylation of peroxisomal proteins and loss of enzymatic activities.

Authors:  A T Nguyen; R P Donaldson
Journal:  Arch Biochem Biophys       Date:  2005-07-01       Impact factor: 4.013

Review 5.  Decreased proteolysis caused by protein aggregates, inclusion bodies, plaques, lipofuscin, ceroid, and 'aggresomes' during oxidative stress, aging, and disease.

Authors:  Tilman Grune; Tobias Jung; Katrin Merker; Kelvin J A Davies
Journal:  Int J Biochem Cell Biol       Date:  2004-12       Impact factor: 5.085

6.  Dynamic changes of the Caenorhabditis elegans proteome during ontogenesis assessed by quantitative analysis with 15N metabolic labeling.

Authors:  Kerstin E Geillinger; Katja Kuhlmann; Martin Eisenacher; Helmut E Meyer; Hannelore Daniel; Britta Spanier
Journal:  J Proteome Res       Date:  2012-08-24       Impact factor: 4.466

7.  Mapping protein abundance patterns in the brain using voxelation combined with liquid chromatography and mass spectrometry.

Authors:  Vladislav A Petyuk; Wei-Jun Qian; Richard D Smith; Desmond J Smith
Journal:  Methods       Date:  2009-08-03       Impact factor: 3.608

8.  Analysis of strain and regional variation in gene expression in mouse brain.

Authors:  P Pavlidis; W S Noble
Journal:  Genome Biol       Date:  2001-09-27       Impact factor: 13.583

9.  MS-GF+ makes progress towards a universal database search tool for proteomics.

Authors:  Sangtae Kim; Pavel A Pevzner
Journal:  Nat Commun       Date:  2014-10-31       Impact factor: 14.919

10.  WormBase 2016: expanding to enable helminth genomic research.

Authors:  Kevin L Howe; Bruce J Bolt; Scott Cain; Juancarlos Chan; Wen J Chen; Paul Davis; James Done; Thomas Down; Sibyl Gao; Christian Grove; Todd W Harris; Ranjana Kishore; Raymond Lee; Jane Lomax; Yuling Li; Hans-Michael Muller; Cecilia Nakamura; Paulo Nuin; Michael Paulini; Daniela Raciti; Gary Schindelman; Eleanor Stanley; Mary Ann Tuli; Kimberly Van Auken; Daniel Wang; Xiaodong Wang; Gary Williams; Adam Wright; Karen Yook; Matthew Berriman; Paul Kersey; Tim Schedl; Lincoln Stein; Paul W Sternberg
Journal:  Nucleic Acids Res       Date:  2015-11-17       Impact factor: 16.971

View more
  11 in total

1.  Multidimensional Proteomics Identifies Declines in Protein Homeostasis and Mitochondria as Early Signals for Normal Aging and Age-associated Disease in Drosophila.

Authors:  Lu Yang; Ye Cao; Jing Zhao; Yanshan Fang; Nan Liu; Yaoyang Zhang
Journal:  Mol Cell Proteomics       Date:  2019-08-21       Impact factor: 5.911

2.  Mechanism of life-long maintenance of neuron identity despite molecular fluctuations.

Authors:  Joleen Jh Traets; Servaas N van der Burght; Suzanne Rademakers; Gert Jansen; Jeroen S van Zon
Journal:  Elife       Date:  2021-12-15       Impact factor: 8.140

Review 3.  Insights Into the Links Between Proteostasis and Aging From C. elegans.

Authors:  William Hongyu Zhang; Seda Koyuncu; David Vilchez
Journal:  Front Aging       Date:  2022-03-18

Review 4.  Cell-to-cell variation in gene expression and the aging process.

Authors:  Alexander R Mendenhall; George M Martin; Matt Kaeberlein; Rozalyn M Anderson
Journal:  Geroscience       Date:  2021-02-17       Impact factor: 7.581

5.  Accurate translation is important for longevity.

Authors:  Zhonghe Ke; Andrei Seluanov; Vera Gorbunova
Journal:  Aging (Albany NY)       Date:  2018-03-12       Impact factor: 5.682

Review 6.  Protein synthesis and quality control in aging.

Authors:  Aleksandra S Anisimova; Alexander I Alexandrov; Nadezhda E Makarova; Vadim N Gladyshev; Sergey E Dmitriev
Journal:  Aging (Albany NY)       Date:  2018-12-18       Impact factor: 5.682

Review 7.  Accumulation of "Old Proteins" and the Critical Need for MS-based Protein Turnover Measurements in Aging and Longevity.

Authors:  Nathan Basisty; Anja Holtz; Birgit Schilling
Journal:  Proteomics       Date:  2019-09-10       Impact factor: 3.984

Review 8.  Protein Turnover in Aging and Longevity.

Authors:  Nathan Basisty; Jesse G Meyer; Birgit Schilling
Journal:  Proteomics       Date:  2018-03       Impact factor: 3.984

9.  C. elegans Eats Its Own Intestine to Make Yolk Leading to Multiple Senescent Pathologies.

Authors:  Marina Ezcurra; Alexandre Benedetto; Thanet Sornda; Ann F Gilliat; Catherine Au; Qifeng Zhang; Sophie van Schelt; Alexandra L Petrache; Hongyuan Wang; Yila de la Guardia; Shoshana Bar-Nun; Eleanor Tyler; Michael J Wakelam; David Gems
Journal:  Curr Biol       Date:  2018-08-09       Impact factor: 10.834

10.  Greater loss of mitochondrial function with ageing is associated with earlier onset of sarcopenia in C. elegans.

Authors:  Christopher J Gaffney; Amelia Pollard; Thomas F Barratt; Dumitru Constantin-Teodosiu; Paul L Greenhaff; Nathaniel J Szewczyk
Journal:  Aging (Albany NY)       Date:  2018-11-19       Impact factor: 5.682

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.