Review Volume 10, Issue 12 pp 4269—4288
Protein synthesis and quality control in aging
- 1 Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow 119234, Russia
- 2 School of Bioengineering and Bioinformatics Lomonosov Moscow State University, Moscow 119234, Russia
- 3 Bach Institute of Biochemistry of the Russian Academy of Sciences, Moscow 119071, Russia
- 4 Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
- 5 Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia
Received: October 18, 2018 Accepted: December 10, 2018 Published: December 18, 2018
https://doi.org/10.18632/aging.101721How to Cite
Copyright: Anisimova et al. This is an open‐access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Aging is characterized by the accumulation of damage and other deleterious changes, leading to the loss of functionality and fitness. Age-related changes occur at most levels of organization of a living organism (molecular, organellar, cellular, tissue and organ). However, protein synthesis is a major biological process, and thus understanding how it changes with age is of paramount importance. Here, we discuss the relationships between lifespan, aging, protein synthesis and translational control, and expand this analysis to the various aspects of proteome behavior in organisms with age. Characterizing the consequences of changes in protein synthesis and translation fidelity, and determining whether altered translation is pathological or adaptive is necessary for understanding the aging process, as well as for developing approaches to target dysfunction in translation as a strategy for extending lifespan.
Importance of protein synthesis and proteome function in aging
Aging is characterized by the accumulation of various forms of damage as well as by other age-related deleterious changes [1–3]. These changes generally have negative, deleterious consequences for organisms as they age. Different living systems differ in their metabolic strategies, resulting in different types and levels of damage production, therefore have evolved both unique and common mechanisms to counteract some of these deleterious changes. These mechanisms also limit the transfer of damage to progeny. The damage-producing and protective mechanisms are mostly genetically controlled, differ among taxonomic groups and are important in defining the lifespan of organisms. Nevertheless, the general principles of cell and organismal organization make damage accumulation inevitable for most multicellular organisms.
In this review, we discuss age-related changes in one of the most important and abundant components of any cell, and therefore of the whole organism – the proteome. Functionality of the whole system of proteins in any organism requires maintenance of a precise balance of synthesis, degradation and function of each and every protein, while aging often shifts this balance, resulting in pathology [4]. Being the end-point of the implementation of genetic information, the proteome accumulates damage generated during this process. The effectiveness of proteostasis control systems, which maintain and recycle the proteome, is diminished with age, leading to the accumulation of damaged proteins and molecules, which in turn inhibit cell functionality and thus cause age-related dysfunction [5]. Every step in protein lifecycle, most notably protein synthesis and degradation, is relevant to the aging process and, indeed, has been shown to change with age and likely define lifespan (Figure 1). While changes in protein degradation systems during aging are relatively well studied, alterations in protein synthesis still remain to be elucidated. Does the overall level of protein synthesis change with age? Which components of the translation apparatus are affected by aging? Do errors in protein synthesis increase in older organisms? Is there age-dependent regulation of protein synthesis at the level of translation? Answering these questions is necessary for understanding the mechanisms of aging and lifespan control. We will focus on them in this review.
Protein synthesis in aging and lifespan control
Changes in protein synthesis rate and translation machinery with age
Unlike changes in protein folding, maintenance and degradation, age-related alterations of protein synthesis have not yet been studied in great detail; however, some initial important observations have been made (Figure 2). During the second part of the 20th century, multiple studies demonstrated that the overall level of protein synthesis is reduced with age in various invertebrates, mice, rats and humans, both in different tissues and in vitro. These studies observed reduced ribosome abundance, attenuated activity and levels of major initiation and elongation factors (reviewed in [29,39,40]), and also a reduction in the rate of mitochondrial protein synthesis [41] as a function of age. The reduction in protein synthesis is probably a common feature for all living creatures; it has been observed in replicatively aged yeast [42], and, more recently, in vivo in sheep using the incorporation of a radioactive amino acid [43].
Figure 2. Age-related changes and lifespan modulating aspects of protein synthesis. The eukaryotic mRNA translation cycle is shown. During translation initiation, the 43S complex is formed (top). It harbors the initiator Met-tRNAi delivered by eIF2, which is inactivated upon amino acid starvation, UPR or other stress conditions. The 43S complex is loaded onto the capped mRNA 5’ end with the help of eIF4F, composed of the cap-binding protein eIF4E, a scaffold protein eIF4G, and a helicase eIF4A (not shown). The eIF4E-eIF4G interaction is inhibited by 4E-BP repressor proteins, which are activated during amino acid starvation when mTOR kinase is inactive. During elongation (right), cognate (or sometimes near-cognate) aminoacyl-tRNAs are delivered to the translating ribosome by eEF1A, followed by the peptidyl transferase reaction and eEF2-assisted translocation step (not shown). When the ribosome encounters a stop codon, translation termination occurs (bottom). At this step, the synthesized polypeptide is released by termination factor eRF1, delivered by eRF3 (not shown) and assisted by ABCE1. In some cases, however, the stop codon can be recognized by a non-cognate tRNA, leading to a readthrough event. At the final step (left), ribosome and deacylated tRNA should be removed from the mRNA (recycled) with the help of ABCE1, eIF2D and/or MCT-1/DENR proteins. Most of these events are affected by aging (light-green boxes) or linked to lifespan control (yellow boxes). Known positive and negative effects are shown by up and down arrows, respectively, while controversial or potential regulation is indicated by a question mark.
Several studies also assayed the age-related changes in the expression of genes encoding the components of the translation machinery. Reduction in the level of mRNAs encoding four large ribosome subunit proteins was observed using an RT-qPCR assay of cataract-affected lenses obtained from patients of various ages, but no difference in the mRNA levels of translation factors was found [44]. Nevertheless, at the protein level, reduction of translation elongation factor eEF1A abundance and activity was shown in aging adult Drosophila melanogaster, and this decline was suggested to be the main cause of the decreased synthesis of total protein in this case [45], although this conclusion was challenged by the later data [46]. In another study, a two-fold decrease in eEF2 protein abundance was detected in the pineal gland of old rats [47]. Translation elongation factors from young and old rats were also assayed in a cell-free mammalian system and found to be more active in the case of the young eEF1A, but similar for eEF2 preparations [47].
Aging can affect not only the abundance of translation machinery components, but also their ability to control the intracellular distribution of newly synthesized proteins. For example, a decrease in the availability of the nascent polypeptide-associated complex (NAC) due to its partial aggregation during aging may result in mistargeting of co-translationally imported mitochondrial proteins to the endoplasmic reticulum [48,49].
As the rate and type of damage accumulation with age seems to differ for various organs and tissues [34,50–57], changes in protein synthesis are also likely to vary. For example, one study observed an age-related reduction in total mRNA, as well as in the levels of initiation and elongation factors and RNA polymerase I protein in rat fast plantaris muscle, but not the slow soleus muscle [58]. It was also reported that the brain shows altered translation efficiencies for 15% of analyzed transcripts, compared to 2% in the liver [59].
Interestingly, the data on changes in expression of genes encoding ribosomal proteins in replicatively aged yeast are somewhat contradictory. On the one hand, increased amounts of ribosomal proteins were observed using mass-spectrometry-based proteomics [60], but on the other, the output of ribosomal protein mRNA translation as well as the overall translation efficiency identified with ribosome profiling were shown to decline with age [61]. This may indicate some defects in the degradation of ribosomes. The alterations of translation with the increasing replicative age of yeast were also confirmed by the observed gradual uncoupling of protein levels from the levels of their transcripts [60]. Additionally, several studies reported the disruption of the stoichiometry of translation machinery components with age [9,32,60]. Notably, the translational output, measured by ribosome profiling in the brains of young and old rats, was increased for ribosomal proteins, but decreased for translation factors, providing another example of translation machinery deregulation with age [59].
The abundance of ribosomes may even affect lifespan within species. The distribution of ribosomal RNA gene copy number was shown to be narrowed in the genomes of elderly humans, indicating that there may be an optimal level of ribosomal RNA required. It was hypothesized that a low copy number is not sufficient for maintaining the function of an aging organism, whereas a high copy number may also represent a disadvantage during aging, or, alternatively, the number of gene copy just decreases with age [62]. Somewhat similar results were obtained for Saccharomyces cerevisiae, where older cells with the reduced amount of ribosomal proteins exhibited a longer replicative lifespan, while in younger cells, the ribosomal protein abundance correlated positively with lifespan [63].
Changes of translation fidelity with age
Another important aspect of protein synthesis, which attracts the attention of researchers in the aging field, is the occurrence of translational errors, namely decoding errors and stop codon readthrough events. Attempts to assay age-related changes in translational fidelity have been made since the 1970s. The initial reports on this line of enquiry were rather controversial, unlike the data on protein synthesis and degradation. Many of them used cell-free translation systems or ribosomes isolated from organs of animals of different ages [64–66]. The authors of these reports were unable to detect age-related changes in translation fidelity.
Translational fidelity was also studied in extracts obtained from aging cultures of primary fibroblasts. The results of these studies were also controversial. For instance, one study noted that the number of translational errors in an extract obtained from fibroblasts that had completed around 55 doublings was 7-fold higher than that of cells which had doubled 28 times [67]. On the other hand, no change in translational fidelity was found in a study which investigated human skin fibroblasts obtained from healthy subjects and progeria patients and compared the fidelity of translation in cells from early and late passages [68]. Another study identified differences between ribosomes isolated from young and old animals. The authors used paromomycin, an aminoglycoside antibiotic, which decreases translational accuracy. Ribosomes isolated from the livers of old rats exhibited increased sensitivity to this antibiotic, i.e. after treatment with paromomycin they made 9% more errors than the ribosomes obtained from young rats [66].
The contradictory results of these studies may be due to the use of cell-free translation systems to assess translational fidelity [69]. For instance, the frequency of translation errors (misincorporation of amino acids) in yeast was estimated to be 10-5 [70]. However, estimates of fidelity from one of the most widely used systems for in vitro translation, rabbit reticulocyte lysate, are highly variable - from 10-5 [71] to 10-4 [72]. Such a discrepancy precludes reliable estimation of changes in translational fidelity with age. Another drawback of these early studies was the use of very specific systems to assess accuracy of amino acid incorporation, which were chosen due to the absence of more appropriate methods at the time. For instance, Luce and Bunn [67] used a purified mRNA encoding the coat protein of the cowpea variant of tobacco mosaic virus. This protein lacks any cysteine residues, and errors were detected using an aberrant incorporation of the labeled cysteine, while another study [65] assayed incorporation of leucine during the translation of a synthetic poly(U), which normally encodes poly-phenylalanine. Such systems do not recapitulate the translation of real cellular mRNAs, and the obtained estimates do not include errors in tRNA aminoacylation. Moreover, the protocol for preparing the cell-free in vitro translation system may introduce major changes in the parameters of protein synthesis. Thus, we should bear in mind that the shortcomings of cell-free in vitro systems may mask differences between studied samples. For these reasons, more recent studies aiming to assay the relation between translational fidelity and aging were performed in living cells. One study addressed changes in translation fidelity of replicatively aged yeast upon transformation of live cells with luciferase reporters [73]. This approach did not detect changes in translation fidelity.
The impairment of ribosome recycling was recently described in the aging mouse brains [74]. It was shown that the brain regions that are particularly sensitive to oxidative stress are enriched in short RNAs representing isolated 3’ untranslated regions (UTR) of the regular mRNAs. These fragments are, apparently, the mRNA decay intermediates accumulated due to stalling of unrecycled ribosomes at the 3’ UTRs under conditions when the ribosome recycling factor ABCE1 is damaged by oxidative stress. Translation of these RNAs results in the production of short peptides. Although the accumulation of mRNA fragments and peptides in the aging cell has not yet been shown to be a damaging factor, it likely reflects impairment of protein synthesis fidelity and could serve as a biomarker of aging.
Conclusions
Deregulation of nutrient signaling and accumulation of damage in the aging proteome lead to decreased protein synthesis. This decrease seems to serve as an adaptation of the organism to age-related changes and may be beneficial in terms of longevity, as downregulation of protein synthesis and an increase in proteome stability are associated with increased lifespan. The effects of aging on the proteome, and more specifically, on the dynamics of protein synthesis are, as of yet, incompletely understood, and elucidation of how lifespan is controlled in various organisms and what factors shape the aging trajectory of a specific organism or its different tissues is an important goal for future studies. Currently, only a few reports have performed omics-level analyses of protein synthesis in the context of aging and nearly all of them used only two age groups (younger and older), whereas many other studies addressed changes in either highly specialized tissues, or did not compare tissues with one another. However, data on the rates of damage accumulation in different tissues [50–57] as well non-linear changes in transcriptomic readouts during aging [179] indicate that studies with more temporal resolution, i.e. more age points, involving different tissues are needed to gain a better and deeper understanding of age-related changes. In turn, these studies may help identify the important drivers of deterioration in specific tissues and pave the way for developing effective longevity interventions.
Conflicts of Interest
The authors have no conflicts of interest to disclose.
Funding
The work was supported by a Russian Federation grant 14.W03.31.0012 and grants from the National Institutes of Health.
References
- 1. Zimniak P. Detoxification reactions: relevance to aging. Ageing Res Rev. 2008; 7:281–300. https://doi.org/10.1016/j.arr.2008.04.001 [PubMed]
- 2. Gladyshev VN. On the cause of aging and control of lifespan: heterogeneity leads to inevitable damage accumulation, causing aging; control of damage composition and rate of accumulation define lifespan. BioEssays. 2012; 34:925–29. https://doi.org/10.1002/bies.201200092 [PubMed]
- 3. Gladyshev VN. Aging: progressive decline in fitness due to the rising deleteriome adjusted by genetic, environmental, and stochastic processes. Aging Cell. 2016; 15:594–602. https://doi.org/10.1111/acel.12480 [PubMed]
- 4. Taylor RC, Dillin A. Aging as an event of proteostasis collapse. Cold Spring Harb Perspect Biol. 2011; 3:3. https://doi.org/10.1101/cshperspect.a004440 [PubMed]
- 5. Kaushik S, Cuervo AM. Proteostasis and aging. Nat Med. 2015; 21:1406–15. https://doi.org/10.1038/nm.4001 [PubMed]
- 6. Soti C, Csermely P. Aging and molecular chaperones. Exp Gerontol. 2003; 38:1037–40. https://doi.org/10.1016/S0531-5565(03)00185-2 [PubMed]
- 7. Calderwood SK, Murshid A, Prince T. The shock of aging: molecular chaperones and the heat shock response in longevity and aging--a mini-review. Gerontology. 2009; 55:550–58. https://doi.org/10.1159/000225957 [PubMed]
- 8. Treaster SB, Ridgway ID, Richardson CA, Gaspar MB, Chaudhuri AR, Austad SN. Superior proteome stability in the longest lived animal. Age (Dordr). 2014; 36:9597. https://doi.org/10.1007/s11357-013-9597-9 [PubMed]
- 9. Walther DM, Kasturi P, Zheng M, Pinkert S, Vecchi G, Ciryam P, Morimoto RI, Dobson CM, Vendruscolo M, Mann M, Hartl FU. Widespread Proteome Remodeling and Aggregation in Aging C. elegans. Cell. 2015; 161:919–32. https://doi.org/10.1016/j.cell.2015.03.032 [PubMed]
- 10. Labunskyy VM, Gerashchenko MV, Delaney JR, Kaya A, Kennedy BK, Kaeberlein M, Gladyshev VN. Lifespan extension conferred by endoplasmic reticulum secretory pathway deficiency requires induction of the unfolded protein response. PLoS Genet. 2014; 10:e1004019. https://doi.org/10.1371/journal.pgen.1004019 [PubMed]
- 11. Li W, Miller RA. Elevated ATF4 function in fibroblasts and liver of slow-aging mutant mice. J Gerontol A Biol Sci Med Sci. 2015; 70:263–72. https://doi.org/10.1093/gerona/glu040 [PubMed]
- 12. Li W, Li X, Miller RA. ATF4 activity: a common feature shared by many kinds of slow-aging mice. Aging Cell. 2014; 13:1012–18. https://doi.org/10.1111/acel.12264 [PubMed]
- 13. Shore DE, Ruvkun G. A cytoprotective perspective on longevity regulation. Trends Cell Biol. 2013; 23:409–20. https://doi.org/10.1016/j.tcb.2013.04.007 [PubMed]
- 14. Labbadia J, Morimoto RI. The biology of proteostasis in aging and disease. Annu Rev Biochem. 2015; 84:435–64. https://doi.org/10.1146/annurev-biochem-060614-033955 [PubMed]
- 15. Höhn A, König J, Grune T. Protein oxidation in aging and the removal of oxidized proteins. J Proteomics. 2013; 92:132–59. https://doi.org/10.1016/j.jprot.2013.01.004 [PubMed]
- 16. Stadtman ER, Van Remmen H, Richardson A, Wehr NB, Levine RL. Methionine oxidation and aging. Biochim Biophys Acta. 2005; 1703:135–40. https://doi.org/10.1016/j.bbapap.2004.08.010 [PubMed]
- 17. Ahmed EK, Rogowska-Wrzesinska A, Roepstorff P, Bulteau AL, Friguet B. Protein modification and replicative senescence of WI-38 human embryonic fibroblasts. Aging Cell. 2010; 9:252–72. https://doi.org/10.1111/j.1474-9726.2010.00555.x [PubMed]
- 18. Novoselov SV, Kim HY, Hua D, Lee BC, Astle CM, Harrison DE, Friguet B, Moustafa ME, Carlson BA, Hatfield DL, Gladyshev VN. Regulation of selenoproteins and methionine sulfoxide reductases A and B1 by age, calorie restriction, and dietary selenium in mice. Antioxid Redox Signal. 2010; 12:829–38. https://doi.org/10.1089/ars.2009.2895 [PubMed]
- 19. Petropoulos I, Mary J, Perichon M, Friguet B. Rat peptide methionine sulphoxide reductase: cloning of the cDNA, and down-regulation of gene expression and enzyme activity during aging. Biochem J. 2001; 355:819–25. https://doi.org/10.1042/bj3550819 [PubMed]
- 20. Vanhooren V, Navarrete Santos A, Voutetakis K, Petropoulos I, Libert C, Simm A, Gonos ES, Friguet B. Protein modification and maintenance systems as biomarkers of ageing. Mech Ageing Dev. 2015; 151:71–84. https://doi.org/10.1016/j.mad.2015.03.009 [PubMed]
- 21. Pérez VI, Buffenstein R, Masamsetti V, Leonard S, Salmon AB, Mele J, Andziak B, Yang T, Edrey Y, Friguet B, Ward W, Richardson A, Chaudhuri A. Protein stability and resistance to oxidative stress are determinants of longevity in the longest-living rodent, the naked mole-rat. Proc Natl Acad Sci USA. 2009; 106:3059–64. https://doi.org/10.1073/pnas.0809620106 [PubMed]
- 22. Basisty N, Meyer JG, Schilling B. Protein Turnover in Aging and Longevity. Proteomics. 2018; 18:e1700108. https://doi.org/10.1002/pmic.201700108 [PubMed]
- 23. López-Otín C, Blasco MA, Partridge L, Serrano M, Kroemer G. The hallmarks of aging. Cell. 2013; 153:1194–217. https://doi.org/10.1016/j.cell.2013.05.039 [PubMed]
- 24. Proteasomal DI, Systems AD. Annu Rev Biochem. 2017; 86:193–224. https://doi.org/10.1146/annurev-biochem-061516-044908 [PubMed]
- 25. David DC. Aging and the aggregating proteome. Front Genet. 2012; 3:247. https://doi.org/10.3389/fgene.2012.00247 [PubMed]
- 26. Vilchez D, Saez I, Dillin A. The role of protein clearance mechanisms in organismal ageing and age-related diseases. Nat Commun. 2014; 5:5659. https://doi.org/10.1038/ncomms6659 [PubMed]
- 27. Schneider JL, Villarroya J, Diaz-Carretero A, Patel B, Urbanska AM, Thi MM, Villarroya F, Santambrogio L, Cuervo AM. Loss of hepatic chaperone-mediated autophagy accelerates proteostasis failure in aging. Aging Cell. 2015; 14:249–64. https://doi.org/10.1111/acel.12310 [PubMed]
- 28. Gavilán E, Pintado C, Gavilan MP, Daza P, Sánchez-Aguayo I, Castaño A, Ruano D. Age-related dysfunctions of the autophagy lysosomal pathway in hippocampal pyramidal neurons under proteasome stress. Neurobiol Aging. 2015; 36:1953–63. https://doi.org/10.1016/j.neurobiolaging.2015.02.025 [PubMed]
- 29. Van Remmen H, Ward WF, Sabia RV, Richardson A. Gene Expression and Protein Degradation. Handbook of Physiology, Aging. Hoboken, NJ, USA: John Wiley & Sons, Inc. 1995. 171–234.
- 30. Thayer NH, Leverich CK, Fitzgibbon MP, Nelson ZW, Henderson KA, Gafken PR, Hsu JJ, Gottschling DE. Identification of long-lived proteins retained in cells undergoing repeated asymmetric divisions. Proc Natl Acad Sci USA. 2014; 111:14019–26. https://doi.org/10.1073/pnas.1416079111 [PubMed]
- 31. Yang J, McCormick MA, Zheng J, Xie Z, Tsuchiya M, Tsuchiyama S, El-Samad H, Ouyang Q, Kaeberlein M, Kennedy BK, Li H. Systematic analysis of asymmetric partitioning of yeast proteome between mother and daughter cells reveals “aging factors” and mechanism of lifespan asymmetry. Proc Natl Acad Sci USA. 2015; 112:11977–82. https://doi.org/10.1073/pnas.1506054112 [PubMed]
- 32. Dhondt I, Petyuk VA, Bauer S, Brewer HM, Smith RD, Depuydt G, Braeckman BP. Changes of Protein Turnover in Aging Caenorhabditis elegans.. Mol Cell Proteomics. 2017; 16:1621–33. https://doi.org/10.1074/mcp.RA117.000049 [PubMed]
- 33. Basisty N, Dai DF, Gagnidze A, Gitari L, Fredrickson J, Maina Y, Beyer RP, Emond MJ, Hsieh EJ, MacCoss MJ, Martin GM, Rabinovitch PS. Mitochondrial-targeted catalase is good for the old mouse proteome, but not for the young: ‘reverse’ antagonistic pleiotropy? Aging Cell. 2016; 15:634–45. https://doi.org/10.1111/acel.12472 [PubMed]
- 34. Kruse SE, Karunadharma PP, Basisty N, Johnson R, Beyer RP, MacCoss MJ, Rabinovitch PS, Marcinek DJ. Age modifies respiratory complex I and protein homeostasis in a muscle type-specific manner. Aging Cell. 2016; 15:89–99. https://doi.org/10.1111/acel.12412 [PubMed]
-
35.
Toyama BH, Savas JN, Park SK, Harris MS, Ingolia NT, Yates JR
3rd , Hetzer MW. Identification of long-lived proteins reveals exceptional stability of essential cellular structures. Cell. 2013; 154:971–82. https://doi.org/10.1016/j.cell.2013.07.037 [PubMed] - 36. Pescosolido N, Barbato A, Giannotti R, Komaiha C, Lenarduzzi F. Age-related changes in the kinetics of human lenses: prevention of the cataract. Int J Ophthalmol. 2016; 9:1506–17. https://doi.org/10.18240/ijo.2016.10.23 [PubMed]
- 37. Swovick K, Welle KA, Hryhorenko JR, Seluanov A, Gorbunova V, Ghaemmaghami S. Cross-species Comparison of Proteome Turnover Kinetics. Mol Cell Proteomics. 2018; 17:580–91. https://doi.org/10.1074/mcp.RA117.000574 [PubMed]
- 38. Buchwalter A, Hetzer MW. Nucleolar expansion and elevated protein translation in premature aging. Nat Commun. 2017; 8:328. https://doi.org/10.1038/s41467-017-00322-z [PubMed]
- 39. Gonskikh Y, Polacek N. Alterations of the translation apparatus during aging and stress response. Mech Ageing Dev. 2017; 168:30–36. https://doi.org/10.1016/j.mad.2017.04.003 [PubMed]
- 40. Rattan SI. Synthesis, modifications, and turnover of proteins during aging. Exp Gerontol. 1996; 31:33–47. https://doi.org/10.1016/0531-5565(95)02022-5 [PubMed]
- 41. Rooyackers OE, Adey DB, Ades PA, Nair KS. Effect of age on in vivo rates of mitochondrial protein synthesis in human skeletal muscle. Proc Natl Acad Sci USA. 1996; 93:15364–69. https://doi.org/10.1073/pnas.93.26.15364 [PubMed]
- 42. Motizuki M, Tsurugi K. The effect of aging on protein synthesis in the yeast Saccharomyces cerevisiae. Mech Ageing Dev. 1992; 64:235–45. https://doi.org/10.1016/0047-6374(92)90081-N [PubMed]
- 43. Connors MT, Poppi DP, Cant JP. Protein elongation rates in tissues of growing and adult sheep. J Anim Sci. 2008; 86:2288–95. https://doi.org/10.2527/jas.2007-0159 [PubMed]
- 44. Zhang W, Hawse J, Huang Q, Sheets N, Miller KM, Horwitz J, Kantorow M. Decreased expression of ribosomal proteins in human age-related cataract. Invest Ophthalmol Vis Sci. 2002; 43:198–204. [PubMed]
- 45. Webster GC, Webster SL. Decline in synthesis of elongation factor one (EF-1) precedes the decreased synthesis of total protein in aging Drosophila melanogaster. Mech Ageing Dev. 1983; 22:121–28. https://doi.org/10.1016/0047-6374(83)90105-7 [PubMed]
- 46. Shikama N, Brack C. Changes in the expression of genes involved in protein synthesis during Drosophila aging. Gerontology. 1996; 42:123–36. https://doi.org/10.1159/000213783 [PubMed]
- 47. Muñoz MF, Argüelles S, Cano M, Marotta F, Ayala A. Aging and Oxidative Stress Decrease Pineal Elongation Factor 2: In Vivo Protective Effect of Melatonin in Young Rats Treated With Cumene Hydroperoxide. J Cell Biochem. 2017; 118:182–90. https://doi.org/10.1002/jcb.25624 [PubMed]
- 48. Kirstein-Miles J, Scior A, Deuerling E, Morimoto RI. The nascent polypeptide-associated complex is a key regulator of proteostasis. EMBO J. 2013; 32:1451–68. https://doi.org/10.1038/emboj.2013.87 [PubMed]
- 49. Steffen KK, Dillin A. A Ribosomal Perspective on Proteostasis and Aging. Cell Metab. 2016; 23:1004–12. https://doi.org/10.1016/j.cmet.2016.05.013 [PubMed]
- 50. Dollé ME, Snyder WK, Gossen JA, Lohman PH, Vijg J. Distinct spectra of somatic mutations accumulated with age in mouse heart and small intestine. Proc Natl Acad Sci USA. 2000; 97:8403–08. https://doi.org/10.1073/pnas.97.15.8403 [PubMed]
- 51. Dollé ME, Snyder WK, Dunson DB, Vijg J. Mutational fingerprints of aging. Nucleic Acids Res. 2002; 30:545–49. https://doi.org/10.1093/nar/30.2.545 [PubMed]
- 52. Dollé ME, Giese H, Hopkins CL, Martus HJ, Hausdorff JM, Vijg J. Rapid accumulation of genome rearrangements in liver but not in brain of old mice. Nat Genet. 1997; 17:431–34. https://doi.org/10.1038/ng1297-431 [PubMed]
- 53. Guintivano J, Aryee MJ, Kaminsky ZA. A cell epigenotype specific model for the correction of brain cellular heterogeneity bias and its application to age, brain region and major depression. Epigenetics. 2013; 8:290–302. https://doi.org/10.4161/epi.23924 [PubMed]
- 54. Horvath S, Mah V, Lu AT, Woo JS, Choi OW, Jasinska AJ, Riancho JA, Tung S, Coles NS, Braun J, Vinters HV, Coles LS. The cerebellum ages slowly according to the epigenetic clock. Aging (Albany NY). 2015; 7:294–306. https://doi.org/10.18632/aging.100742 [PubMed]
- 55. Podolskiy DI, Lobanov AV, Kryukov GV, Gladyshev VN. Analysis of cancer genomes reveals basic features of human aging and its role in cancer development. Nat Commun. 2016; 7:12157. https://doi.org/10.1038/ncomms12157 [PubMed]
- 56. Sehl ME, Henry JE, Storniolo AM, Ganz PA, Horvath S. DNA methylation age is elevated in breast tissue of healthy women. Breast Cancer Res Treat. 2017; 164:209–19. https://doi.org/10.1007/s10549-017-4218-4 [PubMed]
- 57. Cook-Wiens E, Grotewiel MS. Dissociation between functional senescence and oxidative stress resistance in Drosophila. Exp Gerontol. 2002; 37:1347–57. https://doi.org/10.1016/S0531-5565(02)00096-7 [PubMed]
- 58. Mobley CB, Mumford PW, Kephart WC, Haun CT, Holland AM, Beck DT, Martin JS, Young KC, Anderson RG, Patel RK, Langston GL, Lowery RP, Wilson JM, Roberts MD. Aging in rats differentially affects markers of transcriptional and translational capacity in soleus and plantaris muscle. Front Physiol. 2017; 8:518. https://doi.org/10.3389/fphys.2017.00518 [PubMed]
- 59. Ori A, Toyama BH, Harris MS, Bock T, Iskar M, Bork P, Ingolia NT, Hetzer MW, Beck M. Integrated Transcriptome and Proteome Analyses Reveal Organ-Specific Proteome Deterioration in Old Rats. Cell Syst. 2015; 1:224–37. https://doi.org/10.1016/j.cels.2015.08.012 [PubMed]
- 60. Janssens GE, Meinema AC, González J, Wolters JC, Schmidt A, Guryev V, Bischoff R, Wit EC, Veenhoff LM, Heinemann M. Protein biogenesis machinery is a driver of replicative aging in yeast. eLife. 2015; 4:e08527. https://doi.org/10.7554/eLife.08527 [PubMed]
- 61. Hu Z, Xia B, Postnikoff SD, Shen ZJ, Tomoiaga AS, Harkness TA, Seol JH, Li W, Chen K, Tyler JK. Ssd1 and Gcn2 suppress global translation efficiency in replicatively aged yeast while their activation extends lifespan. eLife. 2018; 7:7. https://doi.org/10.7554/eLife.35551 [PubMed]
- 62. Malinovskaya EM, Ershova ES, Golimbet VE, Porokhovnik LN, Lyapunova NA, Kutsev SI, Veiko NN, Kostyuk SV. Copy Number of Human Ribosomal Genes With Aging: Unchanged Mean, but Narrowed Range and Decreased Variance in Elderly Group. Front Genet. 2018; 9:306. https://doi.org/10.3389/fgene.2018.00306 [PubMed]
- 63. Janssens GE, Veenhoff LM. The Natural Variation in Lifespans of Single Yeast Cells Is Related to Variation in Cell Size, Ribosomal Protein, and Division Time. Csikász-Nagy A, editor. PLoS One. 2016; 11:e0167394. https://doi.org/10.1371/journal.pone.0167394 [PubMed]
- 64. Mori N, Hiruta K, Funatsu Y, Goto S. Codon recognition fidelity of ribosomes at the first and second positions does not decrease during aging. Mech Ageing Dev. 1983; 22:1–10. https://doi.org/10.1016/0047-6374(83)90002-7 [PubMed]
- 65. Filion AM, Laughrea M. Translation fidelity in the aging mammal: studies with an accurate in vitro system on aged rats. Mech Ageing Dev. 1985; 29:125–42. https://doi.org/10.1016/0047-6374(85)90013-2 [PubMed]
- 66. Butzow JJ, McCool MG, Eichhorn GL. Does the capacity of ribosomes to control translation fidelity change with age? Mech Ageing Dev. 1981; 15:203–16. https://doi.org/10.1016/0047-6374(81)90075-0 [PubMed]
- 67. Luce MC, Bunn CL. Decreased accuracy of protein synthesis in extracts from aging human diploid fibroblasts. Exp Gerontol. 1989; 24:113–25. https://doi.org/10.1016/0531-5565(89)90022-3 [PubMed]
- 68. Wojtyk RI, Goldstein S. Fidelity of protein synthesis does not decline during aging of cultured human fibroblasts. J Cell Physiol. 1980; 103:299–303. https://doi.org/10.1002/jcp.1041030215 [PubMed]
- 69. Rattan SI. Synthesis, modification and turnover of proteins during aging. Adv Exp Med Biol. 2010; 694:1–13. https://doi.org/10.1007/978-1-4419-7002-2_1 [PubMed]
- 70. Stansfield I, Jones KM, Herbert P, Lewendon A, Shaw WV, Tuite MF. Missense translation errors in Saccharomyces cerevisiae. J Mol Biol. 1998; 282:13–24. https://doi.org/10.1006/jmbi.1998.1976 [PubMed]
- 71. Luce MC, Tschanz KD, Gotto DA, Bunn CL. The accuracy of protein synthesis in reticulocyte and HeLa cell lysates. Biochim Biophys Acta. 1985; 825:280–88. https://doi.org/10.1016/0167-4781(85)90015-6 [PubMed]
- 72. Loftfield RB. The frequency of errors in protein biosynthesis. Biochem J. 1963; 89:82–92. https://doi.org/10.1042/bj0890082 [PubMed]
- 73. von der Haar T, Leadsham JE, Sauvadet A, Tarrant D, Adam IS, Saromi K, Laun P, Rinnerthaler M, Breitenbach-Koller H, Breitenbach M, Tuite MF, Gourlay CW. The control of translational accuracy is a determinant of healthy ageing in yeast. Open Biol. 2017; 7:160291. https://doi.org/10.1098/rsob.160291 [PubMed]
- 74. Sudmant PH, Lee H, Dominguez D, Heiman M, Burge CB. Widespread Accumulation of Ribosome-Associated Isolated 3′ UTRs in Neuronal Cell Populations of the Aging Brain. Cell Reports. 2018; 25:2447–2456.e4. https://doi.org/10.1016/j.celrep.2018.10.094 [PubMed]
- 75. Azpurua J, Ke Z, Chen IX, Zhang Q, Ermolenko DN, Zhang ZD, Gorbunova V, Seluanov A. Naked mole-rat has increased translational fidelity compared with the mouse, as well as a unique 28S ribosomal RNA cleavage. Proc Natl Acad Sci USA. 2013; 110:17350–55. https://doi.org/10.1073/pnas.1313473110 [PubMed]
- 76. Ke Z, Mallik P, Johnson AB, Luna F, Nevo E, Zhang ZD, Gladyshev VN, Seluanov A, Gorbunova V. Translation fidelity coevolves with longevity. Aging Cell. 2017; 16:988–93. https://doi.org/10.1111/acel.12628 [PubMed]
- 77. Bacher JM, Schimmel P. An editing-defective aminoacyl-tRNA synthetase is mutagenic in aging bacteria via the SOS response. Proc Natl Acad Sci USA. 2007; 104:1907–12. https://doi.org/10.1073/pnas.0610835104 [PubMed]
- 78. Silar P, Picard M. Increased longevity of EF-1 alpha high-fidelity mutants in Podospora anserina. J Mol Biol. 1994; 235:231–36. https://doi.org/10.1016/S0022-2836(05)80029-4 [PubMed]
- 79. Schosserer M, Minois N, Angerer TB, Amring M, Dellago H, Harreither E, Calle-Perez A, Pircher A, Gerstl MP, Pfeifenberger S, Brandl C, Sonntagbauer M, Kriegner A, et al. Methylation of ribosomal RNA by NSUN5 is a conserved mechanism modulating organismal lifespan. Nat Commun. 2015; 6:6158. https://doi.org/10.1038/ncomms7158 [PubMed]
- 80. Tavernarakis N. Ageing and the regulation of protein synthesis: a balancing act? Trends Cell Biol. 2008; 18:228–35. https://doi.org/10.1016/j.tcb.2008.02.004 [PubMed]
- 81. Kennedy BK, Kaeberlein M. Hot topics in aging research: protein translation, 2009. Aging Cell. 2009; 8:617–23. https://doi.org/10.1111/j.1474-9726.2009.00522.x [PubMed]
- 82. Syntichaki P, Troulinaki K, Tavernarakis N. eIF4E function in somatic cells modulates ageing in Caenorhabditis elegans. Nature. 2007; 445:922–26. https://doi.org/10.1038/nature05603 [PubMed]
- 83. Pan KZ, Palter JE, Rogers AN, Olsen A, Chen D, Lithgow GJ, Kapahi P. Inhibition of mRNA translation extends lifespan in Caenorhabditis elegans. Aging Cell. 2007; 6:111–19. https://doi.org/10.1111/j.1474-9726.2006.00266.x [PubMed]
- 84. Rogers AN, Chen D, McColl G, Czerwieniec G, Felkey K, Gibson BW, Hubbard A, Melov S, Lithgow GJ, Kapahi P. Life span extension via eIF4G inhibition is mediated by posttranscriptional remodeling of stress response gene expression in C. elegans. Cell Metab. 2011; 14:55–66. https://doi.org/10.1016/j.cmet.2011.05.010 [PubMed]
- 85. Cattie DJ, Richardson CE, Reddy KC, Ness-Cohn EM, Droste R, Thompson MK, Gilbert WV, Kim DH. Mutations in Nonessential eIF3k and eIF3l Genes Confer Lifespan Extension and Enhanced Resistance to ER Stress in Caenorhabditis elegans. PLoS Genet. 2016; 12:e1006326. https://doi.org/10.1371/journal.pgen.1006326 [PubMed]
- 86. Tohyama D, Yamaguchi A, Yamashita T. Inhibition of a eukaryotic initiation factor (eIF2Bdelta/F11A3.2) during adulthood extends lifespan in Caenorhabditis elegans. FASEB J. 2008; 22:4327–37. https://doi.org/10.1096/fj.08-112953 [PubMed]
- 87. Chen D, Pan KZ, Palter JE, Kapahi P. Longevity determined by developmental arrest genes in Caenorhabditis elegans. Aging Cell. 2007; 6:525–33. https://doi.org/10.1111/j.1474-9726.2007.00305.x [PubMed]
- 88. Curran SP, Ruvkun G. Lifespan regulation by evolutionarily conserved genes essential for viability. PLoS Genet. 2007; 3:e56. https://doi.org/10.1371/journal.pgen.0030056 [PubMed]
- 89. Hamilton B, Dong Y, Shindo M, Liu W, Odell I, Ruvkun G, Lee SS. A systematic RNAi screen for longevity genes in C. elegans. Genes Dev. 2005; 19:1544–55. https://doi.org/10.1101/gad.1308205 [PubMed]
- 90. Hansen M, Taubert S, Crawford D, Libina N, Lee SJ, Kenyon C. Lifespan extension by conditions that inhibit translation in Caenorhabditis elegans. Aging Cell. 2007; 6:95–110. https://doi.org/10.1111/j.1474-9726.2006.00267.x [PubMed]
- 91. Henderson ST, Bonafè M, Johnson TE. daf-16 protects the nematode Caenorhabditis elegans during food deprivation. J Gerontol A Biol Sci Med Sci. 2006; 61:444–60. https://doi.org/10.1093/gerona/61.5.444 [PubMed]
- 92. Demontis F, Perrimon N. FOXO/4E-BP signaling in Drosophila muscles regulates organism-wide proteostasis during aging. Cell. 2010; 143:813–25. https://doi.org/10.1016/j.cell.2010.10.007 [PubMed]
- 93. Teleman AA, Chen YW, Cohen SM. 4E-BP functions as a metabolic brake used under stress conditions but not during normal growth. Genes Dev. 2005; 19:1844–48. https://doi.org/10.1101/gad.341505 [PubMed]
-
94.
Kaeberlein M, Powers RW
3rd , Steffen KK, Westman EA, Hu D, Dang N, Kerr EO, Kirkland KT, Fields S, Kennedy BK. Regulation of yeast replicative life span by TOR and Sch9 in response to nutrients. Science. 2005; 310:1193–96. https://doi.org/10.1126/science.1115535 [PubMed] - 95. Steffen KK, MacKay VL, Kerr EO, Tsuchiya M, Hu D, Fox LA, Dang N, Johnston ED, Oakes JA, Tchao BN, Pak DN, Fields S, Kennedy BK, Kaeberlein M. Yeast life span extension by depletion of 60s ribosomal subunits is mediated by Gcn4. Cell. 2008; 133:292–302. https://doi.org/10.1016/j.cell.2008.02.037 [PubMed]
- 96. Smith ED, Tsuchiya M, Fox LA, Dang N, Hu D, Kerr EO, Johnston ED, Tchao BN, Pak DN, Welton KL, Promislow DE, Thomas JH, Kaeberlein M, Kennedy BK. Quantitative evidence for conserved longevity pathways between divergent eukaryotic species. Genome Res. 2008; 18:564–70. https://doi.org/10.1101/gr.074724.107 [PubMed]
- 97. Belcour L, Begel O, Picard M. A site-specific deletion in mitochondrial DNA of Podospora is under the control of nuclear genes. Proc Natl Acad Sci USA. 1991; 88:3579–83. https://doi.org/10.1073/pnas.88.9.3579 [PubMed]
- 98. Stearns SC, Kaiser M. The effects of enhanced expression of elongation factor EF-1 alpha on lifespan in Drosophila melanogaster. IV. A summary of three experiments. Genetica. 1993; 91:167–82. https://doi.org/10.1007/BF01435996 [PubMed]
- 99. Shikama N, Ackermann R, Brack C. Protein synthesis elongation factor EF-1 alpha expression and longevity in Drosophila melanogaster. Proc Natl Acad Sci USA. 1994; 91:4199–203. https://doi.org/10.1073/pnas.91.10.4199 [PubMed]
- 100. Leprivier G, Remke M, Rotblat B, Dubuc A, Mateo AR, Kool M, Agnihotri S, El-Naggar A, Yu B, Somasekharan SP, Faubert B, Bridon G, Tognon CE, et al. The eEF2 kinase confers resistance to nutrient deprivation by blocking translation elongation. Cell. 2013; 153:1064–79. https://doi.org/10.1016/j.cell.2013.04.055 [PubMed]
- 101. Hipkiss AR. On why decreasing protein synthesis can increase lifespan. Mech Ageing Dev. 2007; 128:412–14. https://doi.org/10.1016/j.mad.2007.03.002 [PubMed]
- 102. Solis GM, Kardakaris R, Valentine ER, Bar-Peled L, Chen AL, Blewett MM, McCormick MA, Williamson JR, Kennedy B, Cravatt BF, Petrascheck M. Translation attenuation by minocycline enhances longevity and proteostasis in old post-stress-responsive organisms. eLife. 2018; 7:7. https://doi.org/10.7554/eLife.40314 [PubMed]
- 103. Wieser W, Krumschnabel G. Hierarchies of ATP-consuming processes: direct compared with indirect measurements, and comparative aspects. Biochem J. 2001; 355:389–95. https://doi.org/10.1042/bj3550389 [PubMed]
-
104.
Mathis AD, Naylor BC, Carson RH, Evans E, Harwell J, Knecht J, Hexem E, Peelor FF
3rd , Miller BF, Hamilton KL, Transtrum MK, Bikman BT, Price JC. Mechanisms of In Vivo Ribosome Maintenance Change in Response to Nutrient Signals. Mol Cell Proteomics. 2017; 16:243–54. https://doi.org/10.1074/mcp.M116.063255 [PubMed] - 105. Pestov DG, Shcherbik N. Rapid cytoplasmic turnover of yeast ribosomes in response to rapamycin inhibition of TOR. Mol Cell Biol. 2012; 32:2135–44. https://doi.org/10.1128/MCB.06763-11 [PubMed]
- 106. Holbrook MA, Menninger JR. Erythromycin slows aging of Saccharomyces cerevisiae. J Gerontol A Biol Sci Med Sci. 2002; 57:B29–36. https://doi.org/10.1093/gerona/57.1.B29 [PubMed]
- 107. Heeren G, Rinnerthaler M, Laun P, von Seyerl P, Kössler S, Klinger H, Hager M, Bogengruber E, Jarolim S, Simon-Nobbe B, Schüller C, Carmona-Gutierrez D, Breitenbach-Koller L, et al. The mitochondrial ribosomal protein of the large subunit, Afo1p, determines cellular longevity through mitochondrial back-signaling via TOR1. Aging (Albany NY). 2009; 1:622–36. https://doi.org/10.18632/aging.100065 [PubMed]
- 108. Delaney JR, Ahmed U, Chou A, Sim S, Carr D, Murakami CJ, Schleit J, Sutphin GL, An EH, Castanza A, Fletcher M, Higgins S, Jelic M, et al. Stress profiling of longevity mutants identifies Afg3 as a mitochondrial determinant of cytoplasmic mRNA translation and aging. Aging Cell. 2013; 12:156–66. https://doi.org/10.1111/acel.12032 [PubMed]
- 109. Postnikoff SD, Johnson JE, Tyler JK. The integrated stress response in budding yeast lifespan extension. Microb Cell. 2017; 4:368–75. https://doi.org/10.15698/mic2017.11.597 [PubMed]
- 110. Sherman MY, Qian SB, Powers ET, Balch WE, Ravikumar B, Rubinsztein DC, Rubinsztein DC, et al. Less is more: improving proteostasis by translation slow down. Trends Biochem Sci. 2013; 38:585–91. https://doi.org/10.1016/j.tibs.2013.09.003 [PubMed]
- 111. Proud CG. Phosphorylation and Signal Transduction Pathways in Translational Control. Cold Spring Harb Perspect Biol. 2018; Epub ahead of print. https://doi.org/10.1101/cshperspect.a033050 [PubMed]
-
112.
Powers RW
3rd , Kaeberlein M, Caldwell SD, Kennedy BK, Fields S. Extension of chronological life span in yeast by decreased TOR pathway signaling. Genes Dev. 2006; 20:174–84. https://doi.org/10.1101/gad.1381406 [PubMed] - 113. Bjedov I, Toivonen JM, Kerr F, Slack C, Jacobson J, Foley A, Partridge L. Mechanisms of life span extension by rapamycin in the fruit fly Drosophila melanogaster. Cell Metab. 2010; 11:35–46. https://doi.org/10.1016/j.cmet.2009.11.010 [PubMed]
- 114. Miller RA, Harrison DE, Astle CM, Baur JA, Boyd AR, de Cabo R, Fernandez E, Flurkey K, Javors MA, Nelson JF, Orihuela CJ, Pletcher S, Sharp ZD, et al. Rapamycin, but not resveratrol or simvastatin, extends life span of genetically heterogeneous mice. J Gerontol A Biol Sci Med Sci. 2011; 66:191–201. https://doi.org/10.1093/gerona/glq178 [PubMed]
- 115. Robida-Stubbs S, Glover-Cutter K, Lamming DW, Mizunuma M, Narasimhan SD, Neumann-Haefelin E, Sabatini DM, Blackwell TK. TOR signaling and rapamycin influence longevity by regulating SKN-1/Nrf and DAF-16/FoxO. Cell Metab. 2012; 15:713–24. https://doi.org/10.1016/j.cmet.2012.04.007 [PubMed]
- 116. Blagosklonny MV. From rapalogs to anti-aging formula. Oncotarget. 2017; 8:35492–507. https://doi.org/10.18632/oncotarget.18033 [PubMed]
- 117. Lamming DW, Ye L, Sabatini DM, Baur JA. Rapalogs and mTOR inhibitors as anti-aging therapeutics. J Clin Invest. 2013; 123:980–89. https://doi.org/10.1172/JCI64099 [PubMed]
- 118. Eltschinger S, Loewith R. TOR Complexes and the Maintenance of Cellular Homeostasis. Trends Cell Biol. 2016; 26:148–59. https://doi.org/10.1016/j.tcb.2015.10.003 [PubMed]
- 119. Thoreen CC. The molecular basis of mTORC1-regulated translation. Biochem Soc Trans. 2017; 45:213–21. https://doi.org/10.1042/BST20160072 [PubMed]
- 120. Meyuhas O, Kahan T. The race to decipher the top secrets of TOP mRNAs. Biochim Biophys Acta. 2015; 1849:801–11. https://doi.org/10.1016/j.bbagrm.2014.08.015 [PubMed]
- 121. Ben-Sahra I, Manning BD. mTORC1 signaling and the metabolic control of cell growth. Curr Opin Cell Biol. 2017; 45:72–82. https://doi.org/10.1016/j.ceb.2017.02.012 [PubMed]
- 122. Nandagopal N, Roux PP. Regulation of global and specific mRNA translation by the mTOR signaling pathway. Translation (Austin). 2015; 3:e983402. https://doi.org/10.4161/21690731.2014.983402 [PubMed]
- 123. Huo Y, Iadevaia V, Yao Z, Kelly I, Cosulich S, Guichard S, Foster LJ, Proud CG. Stable isotope-labelling analysis of the impact of inhibition of the mammalian target of rapamycin on protein synthesis. Biochem J. 2012; 444:141–51. https://doi.org/10.1042/BJ20112107 [PubMed]
- 124. Thoreen CC, Kang SA, Chang JW, Liu Q, Zhang J, Gao Y, Reichling LJ, Sim T, Sabatini DM, Gray NS. An ATP-competitive mammalian target of rapamycin inhibitor reveals rapamycin-resistant functions of mTORC1. J Biol Chem. 2009; 284:8023–32. https://doi.org/10.1074/jbc.M900301200 [PubMed]
- 125. Hsieh AC, Liu Y, Edlind MP, Ingolia NT, Janes MR, Sher A, Shi EY, Stumpf CR, Christensen C, Bonham MJ, Wang S, Ren P, Martin M, et al. The translational landscape of mTOR signalling steers cancer initiation and metastasis. Nature. 2012; 485:55–61. https://doi.org/10.1038/nature10912 [PubMed]
- 126. Choo AY, Yoon SO, Kim SG, Roux PP, Blenis J. Rapamycin differentially inhibits S6Ks and 4E-BP1 to mediate cell-type-specific repression of mRNA translation. Proc Natl Acad Sci USA. 2008; 105:17414–19. https://doi.org/10.1073/pnas.0809136105 [PubMed]
- 127. Batool A, Aashaq S, Andrabi KI. Reappraisal to the study of 4E-BP1 as an mTOR substrate - A normative critique. Eur J Cell Biol. 2017; 96:325–36. https://doi.org/10.1016/j.ejcb.2017.03.013 [PubMed]
- 128. Shahbazian D, Roux PP, Mieulet V, Cohen MS, Raught B, Taunton J, Hershey JW, Blenis J, Pende M, Sonenberg N. The mTOR/PI3K and MAPK pathways converge on eIF4B to control its phosphorylation and activity. EMBO J. 2006; 25:2781–91. https://doi.org/10.1038/sj.emboj.7601166 [PubMed]
- 129. Kang SA, Pacold ME, Cervantes CL, Lim D, Lou HJ, Ottina K, Gray NS, Turk BE, Yaffe MB, Sabatini DM. mTORC1 phosphorylation sites encode their sensitivity to starvation and rapamycin. Science. 2013; 341:1236566. https://doi.org/10.1126/science.1236566 [PubMed]
- 130. Shagam LI, Terenin IM, Andreev DE, Dunaevsky JE, Dmitriev SE. In vitro activity of human translation initiation factor eIF4B is not affected by phosphomimetic amino acid substitutions S422D and S422E. Biochimie. 2012; 94:2484–90. https://doi.org/10.1016/j.biochi.2012.06.021 [PubMed]
- 131. Bahrami-B F, Ataie-Kachoie P, Pourgholami MH, Morris DL. p70 Ribosomal protein S6 kinase (Rps6kb1): an update. J Clin Pathol. 2014; 67:1019–25. https://doi.org/10.1136/jclinpath-2014-202560 [PubMed]
- 132. Johnson SC, Rabinovitch PS, Kaeberlein M. mTOR is a key modulator of ageing and age-related disease. Nature. 2013; 493:338–45. https://doi.org/10.1038/nature11861 [PubMed]
- 133. Jia K, Chen D, Riddle DL. The TOR pathway interacts with the insulin signaling pathway to regulate C. elegans larval development, metabolism and life span. Development. 2004; 131:3897–906. https://doi.org/10.1242/dev.01255 [PubMed]
- 134. Kapahi P, Zid BM, Harper T, Koslover D, Sapin V, Benzer S. Regulation of lifespan in Drosophila by modulation of genes in the TOR signaling pathway. Curr Biol. 2004; 14:885–90. https://doi.org/10.1016/j.cub.2004.03.059 [PubMed]
- 135. Lamming DW, Ye L, Katajisto P, Goncalves MD, Saitoh M, Stevens DM, Davis JG, Salmon AB, Richardson A, Ahima RS, Guertin DA, Sabatini DM, Baur JA. Rapamycin-induced insulin resistance is mediated by mTORC2 loss and uncoupled from longevity. Science. 2012; 335:1638–43. https://doi.org/10.1126/science.1215135 [PubMed]
- 136. Baar EL, Carbajal KA, Ong IM, Lamming DW. Sex- and tissue-specific changes in mTOR signaling with age in C57BL/6J mice. Aging Cell. 2016; 15:155–66. https://doi.org/10.1111/acel.12425 [PubMed]
- 137. Zid BM, Rogers AN, Katewa SD, Vargas MA, Kolipinski MC, Lu TA, Benzer S, Kapahi P. 4E-BP extends lifespan upon dietary restriction by enhancing mitochondrial activity in Drosophila. Cell. 2009; 139:149–60. https://doi.org/10.1016/j.cell.2009.07.034 [PubMed]
- 138. Selman C, Tullet JM, Wieser D, Irvine E, Lingard SJ, Choudhury AI, Claret M, Al-Qassab H, Carmignac D, Ramadani F, Woods A, Robinson IC, Schuster E, et al. Ribosomal protein S6 kinase 1 signaling regulates mammalian life span. Science. 2009; 326:140–44. https://doi.org/10.1126/science.1177221 [PubMed]
- 139. Andreev DE, Dmitriev SE, Loughran G, Terenin IM, Baranov PV, Shatsky IN. Translation control of mRNAs encoding mammalian translation initiation factors. Gene. 2018; 651:174–82. https://doi.org/10.1016/j.gene.2018.02.013 [PubMed]
- 140. Thoreen CC, Chantranupong L, Keys HR, Wang T, Gray NS, Sabatini DM. A unifying model for mTORC1-mediated regulation of mRNA translation. Nature. 2012; 485:109–13. https://doi.org/10.1038/nature11083 [PubMed]
- 141. Shatsky IN, Dmitriev SE, Andreev DE, Terenin IM. Transcriptome-wide studies uncover the diversity of modes of mRNA recruitment to eukaryotic ribosomes. Crit Rev Biochem Mol Biol. 2014; 49:164–77. https://doi.org/10.3109/10409238.2014.887051 [PubMed]
- 142. Damgaard CK, Lykke-Andersen J. Translational coregulation of 5'TOP mRNAs by TIA-1 and TIAR. Genes Dev. 2011; 25:2057–68. https://doi.org/10.1101/gad.17355911 [PubMed]
- 143. Miloslavski R, Cohen E, Avraham A, Iluz Y, Hayouka Z, Kasir J, Mudhasani R, Jones SN, Cybulski N, Rüegg MA, Larsson O, Gandin V, Rajakumar A, et al. Oxygen sufficiency controls TOP mRNA translation via the TSC-Rheb-mTOR pathway in a 4E-BP-independent manner. J Mol Cell Biol. 2014; 6:255–66. https://doi.org/10.1093/jmcb/mju008 [PubMed]
- 144. Tcherkezian J, Cargnello M, Romeo Y, Huttlin EL, Lavoie G, Gygi SP, Roux PP. Proteomic analysis of cap-dependent translation identifies LARP1 as a key regulator of 5'TOP mRNA translation. Genes Dev. 2014; 28:357–71. https://doi.org/10.1101/gad.231407.113 [PubMed]
- 145. Lahr RM, Fonseca BD, Ciotti GE, Al-Ashtal HA, Jia JJ, Niklaus MR, Blagden SP, Alain T, Berman AJ. La-related protein 1 (LARP1) binds the mRNA cap, blocking eIF4F assembly on TOP mRNAs. eLife. 2017; 6:e24146. https://doi.org/10.7554/eLife.24146 [PubMed]
- 146. Fonseca BD, Zakaria C, Jia JJ, Graber TE, Svitkin Y, Tahmasebi S, Healy D, Hoang HD, Jensen JM, Diao IT, Lussier A, Dajadian C, Padmanabhan N, et al. La-related Protein 1 (LARP1) Represses Terminal Oligopyrimidine (TOP) mRNA Translation Downstream of mTOR Complex 1 (mTORC1). J Biol Chem. 2015; 290:15996–6020. https://doi.org/10.1074/jbc.M114.621730 [PubMed]
- 147. Philippe L, Vasseur JJ, Debart F, Thoreen CC. La-related protein 1 (LARP1) repression of TOP mRNA translation is mediated through its cap-binding domain and controlled by an adjacent regulatory region. Nucleic Acids Res. 2018; 46:1457–69. https://doi.org/10.1093/nar/gkx1237 [PubMed]
- 148. Hong S, Freeberg MA, Han T, Kamath A, Yao Y, Fukuda T, Suzuki T, Kim JK, Inoki K. LARP1 functions as a molecular switch for mTORC1-mediated translation of an essential class of mRNAs. eLife. 2017; 6:6. https://doi.org/10.7554/eLife.25237 [PubMed]
- 149. Tamarkin-Ben-Harush A, Vasseur JJ, Debart F, Ulitsky I, Dikstein R. Cap-proximal nucleotides via differential eIF4E binding and alternative promoter usage mediate translational response to energy stress. eLife. 2017; 6:6. https://doi.org/10.7554/eLife.21907 [PubMed]
- 150. Tebaldi T, Zuccotti P, Peroni D, Köhn M, Gasperini L, Potrich V, Bonazza V, Dudnakova T, Rossi A, Sanguinetti G, Conti L, Macchi P, D’Agostino V, et al. HuD Is a Neural Translation Enhancer Acting on mTORC1-Responsive Genes and Counteracted by the Y3 Small Non-coding RNA. Mol Cell. 2018; 71:256–270.e10. https://doi.org/10.1016/j.molcel.2018.06.032 [PubMed]
- 151. Chang JW, Zhang W, Yeh HS, de Jong EP, Jun S, Kim KH, Bae SS, Beckman K, Hwang TH, Kim KS, Kim DH, Griffin TJ, Kuang R, Yong J. mRNA 3′-UTR shortening is a molecular signature of mTORC1 activation. Nat Commun. 2015; 6:7218. https://doi.org/10.1038/ncomms8218 [PubMed]
- 152. Chen M, Lyu G, Han M, Nie H, Shen T, Chen W, Niu Y, Song Y, Li X, Li H, Chen X, Wang Z, Xia Z, et al. 3′ UTR lengthening as a novel mechanism in regulating cellular senescence. Genome Res. 2018; 28:285–94. https://doi.org/10.1101/gr.224451.117 [PubMed]
- 153. Meyer KD, Patil DP, Zhou J, Zinoviev A, Skabkin MA, Elemento O, Pestova TV, Qian SB, Jaffrey SR. 5′ UTR m(6)A Promotes Cap-Independent Translation. Cell. 2015; 163:999–1010. https://doi.org/10.1016/j.cell.2015.10.012 [PubMed]
- 154. Coots RA, Liu XM, Mao Y, Dong L, Zhou J, Wan J, Zhang X, Qian SB. m6A Facilitates eIF4F-Independent mRNA Translation. Mol Cell. 2017; 68:504–514.e7. https://doi.org/10.1016/j.molcel.2017.10.002 [PubMed]
- 155. Li A, Chen YS, Ping XL, Yang X, Xiao W, Yang Y, Sun HY, Zhu Q, Baidya P, Wang X, Bhattarai DP, Zhao YL, Sun BF, Yang YG. Cytoplasmic m6A reader YTHDF3 promotes mRNA translation. Cell Res. 2017; 27:444–47. https://doi.org/10.1038/cr.2017.10 [PubMed]
- 156. Zhou J, Wan J, Gao X, Zhang X, Jaffrey SR, Qian SB. Dynamic m(6)A mRNA methylation directs translational control of heat shock response. Nature. 2015; 526:591–94. https://doi.org/10.1038/nature15377 [PubMed]
- 157. Sinvani H, Haimov O, Svitkin Y, Sonenberg N, Tamarkin-Ben-Harush A, Viollet B, Dikstein R. Translational tolerance of mitochondrial genes to metabolic energy stress involves TISU and eIF1-eIF4GI cooperation in start codon selection. Cell Metab. 2015; 21:479–92. https://doi.org/10.1016/j.cmet.2015.02.010 [PubMed]
- 158. Lee AS, Kranzusch PJ, Doudna JA, Cate JH. eIF3d is an mRNA cap-binding protein that is required for specialized translation initiation. Nature. 2016; 536:96–99. https://doi.org/10.1038/nature18954 [PubMed]
- 159. Ryu I, Kim YK. Translation initiation mediated by nuclear cap-binding protein complex. BMB Rep. 2017; 50:186–93. https://doi.org/10.5483/BMBRep.2017.50.4.007 [PubMed]
- 160. Chen HH, Yu HI, Yang MH, Tarn WY. DDX3 Activates CBC-eIF3-Mediated Translation of uORF-Containing Oncogenic mRNAs to Promote Metastasis in HNSCC. Cancer Res. 2018; 78:4512–23. https://doi.org/10.1158/0008-5472.CAN-18-0282 [PubMed]
- 161. Ho JJ, Lee S. A Cap for Every Occasion: Alternative eIF4F Complexes. Trends Biochem Sci. 2016; 41:821–23. https://doi.org/10.1016/j.tibs.2016.05.009 [PubMed]
- 162. Bush MS, Hutchins AP, Jones AM, Naldrett MJ, Jarmolowski A, Lloyd CW, Doonan JH. Selective recruitment of proteins to 5′ cap complexes during the growth cycle in Arabidopsis. Plant J. 2009; 59:400–12. https://doi.org/10.1111/j.1365-313X.2009.03882.x [PubMed]
- 163. Soto-Rifo R, Rubilar PS, Ohlmann T. The DEAD-box helicase DDX3 substitutes for the cap-binding protein eIF4E to promote compartmentalized translation initiation of the HIV-1 genomic RNA. Nucleic Acids Res. 2013; 41:6286–99. https://doi.org/10.1093/nar/gkt306 [PubMed]
- 164. Min KW, Zealy RW, Davila S, Fomin M, Cummings JC, Makowsky D, Mcdowell CH, Thigpen H, Hafner M, Kwon SH, Georgescu C, Wren JD, Yoon JH. Profiling of m6A RNA modifications identified an age-associated regulation of AGO2 mRNA stability. Aging Cell. 2018; 17:e12753. https://doi.org/10.1111/acel.12753 [PubMed]
- 165. Uno M, Nishida E. Lifespan-regulating genes in C. elegans.. NPJ Aging Mech Dis. 2016; 2:16010. https://doi.org/10.1038/npjamd.2016.10 [PubMed]
- 166. González A, Hall MN. Nutrient sensing and TOR signaling in yeast and mammals. EMBO J. 2017; 36:397–408. https://doi.org/10.15252/embj.201696010 [PubMed]
- 167. Williamson D, Gallagher P, Harber M, Hollon C, Trappe S. Mitogen-activated protein kinase (MAPK) pathway activation: effects of age and acute exercise on human skeletal muscle. J Physiol. 2003; 547:977–87. https://doi.org/10.1113/jphysiol.2002.036673 [PubMed]
- 168. Darnell AM, Subramaniam AR, O’Shea EK. Translational Control through Differential Ribosome Pausing during Amino Acid Limitation in Mammalian Cells. Mol Cell. 2018; 71:229–243.e11. https://doi.org/10.1016/j.molcel.2018.06.041 [PubMed]
- 169. Hann SR, Sloan-Brown K, Spotts GD. Translational activation of the non-AUG-initiated c-myc 1 protein at high cell densities due to methionine deprivation. Genes Dev. 1992; 6:1229–40. https://doi.org/10.1101/gad.6.7.1229 [PubMed]
- 170. Mazor KM, Dong L, Mao Y, Swanda RV, Qian SB, Stipanuk MH. Effects of single amino acid deficiency on mRNA translation are markedly different for methionine versus leucine. Sci Rep. 2018; 8:8076. https://doi.org/10.1038/s41598-018-26254-2 [PubMed]
- 171. Young SK, Wek RC. Upstream Open Reading Frames Differentially Regulate Gene-specific Translation in the Integrated Stress Response. J Biol Chem. 2016; 291:16927–35. https://doi.org/10.1074/jbc.R116.733899 [PubMed]
- 172. Hinnebusch AG, Ivanov IP, Sonenberg N. Translational control by 5′-untranslated regions of eukaryotic mRNAs. Science. 2016; 352:1413–16. https://doi.org/10.1126/science.aad9868 [PubMed]
- 173. Nikonorova IA, Mirek ET, Signore CC, Goudie MP, Wek RC, Anthony TG. Time-resolved analysis of amino acid stress identifies eIF2 phosphorylation as necessary to inhibit mTORC1 activity in liver. J Biol Chem. 2018; 293:5005–15. https://doi.org/10.1074/jbc.RA117.001625 [PubMed]
- 174. Cherkasova VA, Hinnebusch AG. Translational control by TOR and TAP42 through dephosphorylation of eIF2α kinase GCN2. Genes Dev. 2003; 17:859–72. https://doi.org/10.1101/gad.1069003 [PubMed]
- 175. Pakos-Zebrucka K, Koryga I, Mnich K, Ljujic M, Samali A, Gorman AM. The integrated stress response. EMBO Rep. 2016; 17:1374–95. https://doi.org/10.15252/embr.201642195 [PubMed]
- 176. Su KH, Dai C. mTORC1 senses stresses: coupling stress to proteostasis. BioEssays. 2017; 39:1600268. https://doi.org/10.1002/bies.201600268 [PubMed]
- 177. Lenox AR, Bhootada Y, Gorbatyuk O, Fullard R, Gorbatyuk M. Unfolded protein response is activated in aged retinas. Neurosci Lett. 2015; 609:30–35. https://doi.org/10.1016/j.neulet.2015.10.019 [PubMed]
- 178. Apfeld J, O’Connor G, McDonagh T, DiStefano PS, Curtis R. The AMP-activated protein kinase AAK-2 links energy levels and insulin-like signals to lifespan in C. elegans. Genes Dev. 2004; 18:3004–09. https://doi.org/10.1101/gad.1255404 [PubMed]
- 179. Haustead DJ, Stevenson A, Saxena V, Marriage F, Firth M, Silla R, Martin L, Adcroft KF, Rea S, Day PJ, Melton P, Wood FM, Fear MW. Transcriptome analysis of human ageing in male skin shows mid-life period of variability and central role of NF-κB. Sci Rep. 2016; 6:26846. https://doi.org/10.1038/srep26846 [PubMed]
- 180. Roux PP, Shahbazian D, Vu H, Holz MK, Cohen MS, Taunton J, Sonenberg N, Blenis J. RAS/ERK signaling promotes site-specific ribosomal protein S6 phosphorylation via RSK and stimulates cap-dependent translation. J Biol Chem. 2007; 282:14056–64. https://doi.org/10.1074/jbc.M700906200 [PubMed]