Deep Proteome Analysis Identifies Age-Related Processes in C. elegans.
Deep Proteome Analysis Identifies Age-Related Processes in C. elegans.
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DOI:
10.1016/j.cels.2016.06.011
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发表时间:
2016-08
期刊:
影响因子:
9.3
通讯作者:
Kenyon C
中科院分区:
文献类型:
--
作者:
Narayan V;Ly T;Pourkarimi E;Murillo AB;Gartner A;Lamond AI;Kenyon C
Effective network analysis of protein data requires high-quality proteomic datasets. Here, we report a near doubling in coverage of the C. elegans adult proteome, identifying >11,000 proteins in total with ∼9,400 proteins reproducibly detected in three biological replicates. Using quantitative mass spectrometry, we identify proteins whose abundances vary with age, revealing a concerted downregulation of proteins involved in specific metabolic pathways and upregulation of cellular stress responses with advancing age. Among these are ∼30 peroxisomal proteins, including the PRX-5/PEX5 import protein. Functional experiments confirm that protein import into the peroxisome is compromised in vivo in old animals. We also studied the behavior of the set of age-variant proteins in chronologically age-matched, long-lived daf-2 insulin/IGF-1-pathway mutants. Unexpectedly, the levels of many of these age-variant proteins did not scale with extended lifespan. This indicates that, despite their youthful appearance and extended lifespans, not all aspects of aging are reset in these long-lived mutants. Near doubling in C. elegans proteome coverage with age-dependent protein measurements Putative sub-cellular localization assignments for >6,000 nematode proteins Peroxisome protein import impaired during aging Most age-variant proteins do not scale with biological age in insulin/IGF-1 mutants Deep proteome analysis of adult C. elegans provides a valuable resource, reveals a failure in peroxisome protein import during aging, and, surprisingly, shows that the rates of change in the levels of the majority of age-variant proteins do not scale with the reduced rate of biological aging in long-lived insulin/IGF-1 mutants.
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影响因子:
9.8
作者:
David DC;Ollikainen N;Trinidad JC;Cary MP;Burlingame AL;Kenyon C
通讯作者:
Kenyon C
影响因子:
64.5
作者:
Budovskaya YV;Wu K;Southworth LK;Jiang M;Tedesco P;Johnson TE;Kim SK
通讯作者:
Kim SK
DOI:
10.1073/pnas.0400848101
发表时间:
2004-05-25
影响因子:
11.1
作者:
Huang, C;Xiong, CJ;Kornfeld, K
通讯作者:
Kornfeld, K
影响因子:
64.8
作者:
Herndon, LA;Schmeissner, PJ;Driscoll, M
通讯作者:
Driscoll, M
影响因子:
8.8
作者:
Gruen, Dominic;Kirchner, Marieluise;Rajewsky, Nikolaus
通讯作者:
Rajewsky, Nikolaus