Abstract
MicroRNAs (miRNAs) comprise a class of small RNAs important for the post-transcriptional regulation of numerous biological processes. Their combinatorial mode of function, in which an individual miRNA can target many genes and multiple miRNAs share targets, makes them especially suited for regulating processes and pathways at the “network” level. In particular, miRNAs have recently been implicated in aging which is a complex process known to involve multiple pathways. Findings from genome-wide miRNA expression profiling studies highlight three themes in miRNA function during aging: many miRNAs are differentially expressed, many such miRNAs target known aging-associated pathways, and there are global trends in miRNA expression change over time. In addition, several miRNAs have emerged as potentially coordinating multiple pathways during aging. Elucidating the underlying network structure of genes and miRNAs involved in aging processes promises to advance our understanding of not only aging and associated pathogenesis but also of how miRNAs can connect disparate pathways.
Keywords: lifespan, insulin signaling, small non-coding RNAs, Caenorhabditis elegans
Introduction
MicroRNAs (miRNAs) are endogenous small RNAs that regulate gene expression largely at the post-transcriptional level and have gained increasing attention in the last decade. Since their discovery in the nematode Caenorhabditis elegans, miRNAs have been identified in a variety of animals and plants, and their reported functions span many pathways and processes including timing of developmental decisions, cell differentiation, oncogenesis, and organismal aging.1, 2 The human genome codes for over a thousand miRNAs (miRBase release 19),3–6 and computational predictions suggest that miRNAs may regulate nearly one-third of all human genes,7 making miRNAs one of the largest “families” of regulatory molecules. Understanding how miRNAs fit in to and interact with the overall genetic landscape is a major goal in miRNA research.
The role of miRNAs in aging has only recently begun to be investigated. Aging was long considered a result of random, accumulating molecular deterioration, but research in the last three decades since the isolation of the first genetic lifespan mutants in C. elegans 8–10 has shown a large genetic component influencing organismal aging rates. We now know that aging is shaped by a network consisting of multiple partially overlapping genetic pathways, many of which center on insulin signaling (see refs. 11 and 12 for review). The involvement of miRNAs in aging therefore is particularly interesting in light of two key features of miRNA-mediated regulation: a single miRNA can target many genes, and multiple miRNAs can target the same mRNA.13 This mode of function suggests that miRNAs act as “network-level” regulators modulating complex phenotypes by integrating multiple inputs and outputs. Thus, in the context of aging research, miRNAs may help us understand how diverse genetic pathways are connected and regulated.
This review will present evidence for several conserved roles of miRNAs in determining organismal aging rates. We will highlight some themes learned from genome-wide miRNA expression studies during aging. Other reviews have discussed specific miRNAs and how they have been associated with particular aging-related biological processes.14, 15 Here, we will instead focus on how miRNAs connect these processes as potential upstream regulatory factors.
Genetic pathways in aging and lin-4
The genes and pathways that are involved in aging rate and lifespan determination have been studied extensively. Basic research conducted in model organisms, particularly C. elegans, has identified many single-gene mutants demonstrating lifespan phenotypes, and genome-wide expression studies have revealed distinct expression profiles associated with aging.16–18 We know from these studies that specific biological processes are affected with advancing age and that a network of multiple, yet specific, genetic pathways are involved (for reviews, see refs. 11 and 12).
The best characterized aging-associated pathway is insulin/insulin-like growth factor 1 (IGF-1) signaling (IIS). The core components of this pathway and their effects on lifespan are highly conserved: from nematodes to mice, reduced insulin signaling results in extended lifespan.19 For example, in C. elegans, a mutation in the daf-2 insulin receptor ortholog more than doubled the two-week lifespan of wildtype worms.10 Inactivation of the IGF-1 receptor gene as well as the insulin receptor substrate gene IRS1, which acts downstream of the IGF-1 receptor, in female mice similarly extended lifespan significantly.20, 21 Furthermore, longevity in humans has been associated with variations in IIS pathway genes, particularly FOXO3A transcription factor.22–26
IIS plays a central role in orchestrating many cellular processes involved in aging. (We refer readers to ref. 19 for a review on IIS.) At the core of IIS is a phosphorylation cascade, triggered by the binding of insulin or an insulin-like molecule (e.g. IGF-1) to the insulin receptor, culminating in the phosphorylation of forkhead (FOXO) transcription factor which prevents it from localizing to the nucleus. Multiple internal and external signals which influence aging rate converge on the IIS pathway, often on FOXO.27 Some examples of lifespan-determining signals that require DAF-16/FOXO activity include reproductive status28 and environmental stress via sir-2.1 and Jun kinase signaling pathway.29, 30 FOXO in turn regulates the transcription of many downstream effector genes that affect various cellular processes including metabolism, apoptosis, and stress resistance.31–33 It is important to note that IIS-independent pathways that affect lifespan have been reported; these include DNA damage checkpoint signaling, developmental and behavioral timing pathway, and mitochondrial genes.34–36 We do not know whether or how these pathways are connected to influence aging.
One of the earliest reports of miRNAs associated with lifespan determination also invoked insulin signaling. Our laboratory reported that a mutation in lin-4, a heterochronic miRNA studied extensively in the regulation of developmental timing in C. elegans,37 shortened adult lifespan.2 This phenotype was dependent on the expression of a lin-4 target, lin-14 transcription factor. In turn, the effect of LIN-14 on lifespan was mediated by the insulin signaling pathway, requiring the functions of DAF-2 and DAF-16 FOXO homolog, and by the heat-shock transcription factor HSF-1.2 HSF-1 acts downstream of IIS and couples signaling with stress response; hsf-1 mutants demonstrated shortened lifespan.38, 39 This study not only demonstrated that a miRNA can influence lifespan but does so through pathways with known importance in aging. Further, these results suggest that lin-4 links upstream IIS with downstream heat stress response, possibly to better coordinate the outputs of both pathways.
Genome-wide studies of miRNAs in aging
In an effort to identify other miRNAs affected by aging, genome-wide miRNA expression has been profiled extensively in C. elegans (whole animal).40–42 Profiling has also been conducted in a variety of tissues and cell types in additional systems. These include the fruit fly Drosophila melanogaster brain;43 mouse brain,44–46 liver,47, 48 and cardiac tissue;49 and human skeletal muscle50 and blood cells.51–53 These studies found that many miRNAs are differentially expressed between old and young subjects. We henceforth refer to these differentially expressed miRNAs as “aging-associated” miRNAs, summarized in Table 1.
Table 1.
Summary of aging-associated microRNAs and their associated species and functions.
| miRNAs | species | aging-associated pathways | references |
|---|---|---|---|
| miR-34 | C. elegans, D. melanogaster, M. musculus, R. norvegicus | DNA damage response, senescence, cell death | 40–42, 43, 45, 60–63 |
| let-7 | C. elegans, D. melanogaster, M. musculus, H. sapiens | DNA damage response, mitochondrial respiration, germline maintenance | 40–42, 45, 48, 50, 53, 69, 70, 75 |
| miR-71 | C. elegans | DNA damage response, IIS, germline signaling | 40–42, 67 |
| miR-239 | C. elegans | IIS | 40–42 |
| miR-35 | C. elegans | ? | 40–42 |
| miR-38 | C. elegans | ? | 40–42 |
| miR-43 | C. elegans | ? | 40–42 |
| miR-70 | C. elegans | ? | 40–42 |
| miR-30d | M. musculus | ? | 44, 47 |
| miR-468 | M. musculus | ? | 44, 47 |
| miR-669b | M. musculus | ? | 44, 47 |
| miR-709 | M. musculus | ? | 44, 47 |
| miR-246 | C. elegans | ? | 41 |
One caveat of studies in specific tissue/cell types is the extent to which they represent aging of the whole organism. It is known that tissues age at different rates.54 While it can be difficult to extrapolate findings from specific tissues to aging of the whole organism, there are, nonetheless, valuable lessons to gather about both tissue-specific and organismal aging.
Several themes arise from these genome-wide studies. First is that multiple studies have identified common, and often evolutionarily conserved, aging-associated miRNAs. These miRNAs may represent particularly important regulators during aging. Second, aging-associated miRNAs often target pathways and processes that influence aging (Figure 1). Indeed, some miRNAs target multiple aging-related pathways suggesting that miRNAs may have a role in coordinating the outputs of those pathways. Finally, there are clear global trends in miRNA expression change during aging. This suggests that a common process, such as miRNA transcription or biogenesis, may be altered with aging, changing large numbers of miRNA levels simultaneously.
Figure 1. MicroRNAs are part of a complex genetic network implicated in aging.
Individual and groups of miRNAs are associated with aging and aging-related pathways that mediate signals from the external and internal environments and center on the insulin signaling pathway. In particular, let-7, miR-71, and miR-34 are connected to multiple pathways.
Identification of common aging-associated miRNAs
Common aging-associated miRNAs have been found between published reports. Three separate studies of miRNA expression change with age have been performed in C. elegans.40–42 While not all reported aging-associated miRNAs overlap, all three studies saw changes in the expression levels of let-7, miR-34, miR-35, miR-38, miR-43, miR-70, miR-71, and miR-239. It is plausible that these miRNAs function cooperatively to regulate processes during aging. However, it is important to point out that though alterations were consistent, the directions of change, surprisingly, were not. Notably, some of these miRNAs are conserved in human (let-7, miR-34, and miR-43)55 and thus may be important for human aging and lifespan determination.
In mouse, Wang and colleagues found commonly upregulated miRNAs in two different aging tissues — the liver and the brain.44, 48 They suggested that these miRNAs (miR-30d, miR-34a, miR-468, miR-669b, and miR-709) may contribute to the general aging process, whereas miRNAs found only in one tissue may be implicated in tissue-specific aging.44 However, of these core aging miRNAs, only one (miR-669b) was found to be upregulated in old versus young brains of the long-living Ames dwarf mice.46 None were found in a study of aging heart tissue49 or a different study on the aging brain.45 The different experimental methods and statistical thresholds applied in each study may partly explain why they did not identify overlapping sets of aging-associated miRNAs.
One highly conserved miRNA was identified in multiple aging studies across various organisms and tissues. miR-34 belongs to one of only 19 miRNA families conserved at a sequence level from nematode to mammals.56 Moreover, the functions of miR-34 in DNA damage response, senescence, and cell death are highly conserved,57–59 and as DNA damage signaling is a known pathway affecting lifespan,34 this suggests that conserved regulation by miR-34 may also exist for aging-associated processes. Its reported expression changes and effects on lifespan, however, have not been consistent. Increased expression with age was reported in D. melanogaster brain, C. elegans whole animal, rat liver, and several mouse tissues,40–42, 60, 61 while decreased expression was observed in the mouse brain.45, 62 In C. elegans, mir-34 mutants demonstrated extended lifespan in one study63 (but not in another)41, but in D. melanogaster, overexpression of miR-34 extended lifespan and protected flies from neurodegenerative disease43. Nonetheless, studies point to the importance of miR-34 in lifespan determination across phyla, and further research may unveil conserved regulation mediated by miR-34 that is crucial to normal aging.
Aging-associated pathways are targeted by aging-associated miRNAs
Many aging-associated miRNAs seem to interact with genes and pathways that are relevant to aging. It is worth noting here that the functions of most miRNAs are not known due to the fact that the vast majority of these were identified through cloning and computational prediction alone.56, 64–66 The functions of some age-associated miRNAs have been inferred from classic genetic characterizations of individual miRNA mutants while others have been predicted solely from mRNA target predictions coupled with bioinformatics analyses of those targets. Experimentally validating miRNA functions and their putative associations with specific pathways remains to be a challenge.
Many C. elegans strains with mutations for aging-associated miRNAs have been characterized in aging,41, 67 made possible by a large collection of miRNA loss-of-function mutants.68 When characterized during development, most of these strains did not demonstrate gross abnormalities;68 nevertheless, mutations for some aging-associated miRNAs have resulted in lifespan phenotypes41, 67: mir-71 and mir-246 mutants demonstrated shortened lifespan, and mir-239 mutants showed extended lifespan. Overexpressing these miRNAs resulted in the respective opposite phenotypes, suggesting specific involvement in aging. Further, the lifespan phenotypes of mir-71 and mir-239 mutants were dependent on IIS41 and FOXO.67 miR-71 interacts with at least two other aging-associated pathways: its activity was necessary for the long lifespan of both the DNA damage response gene cdc-25.1 knockdown animals and of germline-ablated animals.41, 67 These findings suggest that miR-71 may act as a link between IIS, the DNA damage checkpoint pathway, and germline signaling. Particularly, the connection with the DNA damage checkpoint pathway is interesting because it functions independently of IIS in lifespan determination.34
The miRNA let-7 may also link multiple aging-associated pathways. let-7 is differentially expressed in many aging studies.40–42, 45, 48, 50, 53, 69, 70 Nuclear hormone receptor daf-12 is a known let-7 target,71 and mutations in daf-12 affect longevity.72 Further, DAF-12 activity is necessary for the germline signal that determines lifespan.28 let-7 has also been associated with DNA damage checkpoint genes and mitochondrial respiration genes;42,50 though direct genetic interactions have not been validated, let-7 may directly or indirectly coordinate these pathways. Furthermore, let-7 and daf-12 have been implicated in feedback signaling that is important for the specification of developmental fate in response to environmental cues in C. elegans.73, 74 While there currently is no evidence for this interaction during aging, if it exists, it may act to reinforce a specific lifespan phenotype. Unfortunately, most C. elegans let-7 alleles cause developmental defects making aging studies difficult to interpret.
A recent study described a role for let-7 in the age-related decline of the Drosophila tetis stem cell niche. Jones and colleagues found that in old Drosophila testis, let-7 targets Imp (IGF-II messenger RNA binding protein) which has a role in germline stem cell maintenance by stabilizing the self-renewal factor, upd, from being degraded by a short interfering RNA.75 Other miRNAs that function to link multiple pathways may also have dual functions as genetic switches during aging.
Most effects of individual miRNAs on target expression levels are thought to be subtle.76 Thus, in addition to examining individual miRNAs and their putative targets, it is also informative to investigate the processes that aging-associated miRNAs target as a collective. In a study in the aging mouse brain, Wang and colleagues found that 27 out of 70 upregulated miRNAs target mitochondrial genes.44 They showed by mass spectrometry that these genes are indeed affected during aging and correlated with the expression changes of the miRNAs that putatively target them. Driscoll and colleagues found that 31 out of 50 age-associated miRNAs target gerontogenes which they identified from the literature; furthermore, many aging-associated miRNAs were predicted to target genes in the IIS pathway.40 Our lab has shown that nearly one-sixth of genes predicted to be targeted by one or more age-associated miRNAs are necessary for normal lifespan in C. elegans.42
Systems approaches such as pathway and Gene Ontology term analyses have also identified aging-associated processes as putative targets of aging-associated miRNAs. These include cell cycle control, cell growth, cell proliferation, mitochondrial respiration, and IIS.42, 45, 48, 50, 52, 70 Particularly, our lab has shown that each of the core genes in the IIS pathway may potentially be targeted by multiple aging-associated miRNAs in the mouse brain,45 again suggesting the centrality of IIS in aging.
Global changes in miRNA expression during aging
Global trends in miRNA expression with increased age have been noted in multiple studies, with many specifically reporting decreases in miRNA abundance.40, 41, 43, 44, 47, 48, 51, 53, 70 There were no tissue-specific differences in trends. This observation suggests that in addition to miRNA-specific regulation, there may be more general mechanisms changing the levels of many or most miRNAs over time, such as age-related alterations in miRNA transcription and steps in miRNA biogenesis.
A few miRNA biogenesis genes have been investigated in the context of aging. Bonini and colleagues characterized the lifespan phenotype of hypomorphic loquacious (loqs) mutants in D. melanogaster.43 Loqs is a homolog of the human TAR RNA-binding protein (TRBP) and associates with RNase-III enzyme Dicer to facilitate efficient pre-miRNA processing.77–79 The loqs hypomorph resulted in a significant decrease in D. melanogaster lifespan,43 suggesting that miRNAs are required for normal lifespan. How loqs expression is affected during natural aging has not been investigated. If its expression is indeed diminished with age, then this may account for the decreased expression of miRNAs during aging in the fly brain.43
Two studies investigated the requirement for Argonaute proteins in aging. Argonautes are key components of the effector complex for miRNA-mediated gene regulation. Our lab studied the effects of adult-specific RNAi-mediated knockdown of alg-1 (Argonaute-like gene 1, the miRNA-specific Argonaute in C. elegans), which resulted in a significant reduction in lifespan compared to control, providing evidence that miRNAs are required for normal adult lifespan.42 Zhang and colleagues examined expression changes of Argonaute (Ago) 1 and 2 in mouse cardiac ventricular tissue with increased age.49 The authors found that Ago1 and Ago2 mRNA expression increased through mid-adulthood, at which point it peaked, and then gradually decreased with advancing age. As Argonautes can stabilize mature miRNAs and thereby contribute to increased miRNA abundance,80 their diminished expression in late adulthood may result in a global reduction in miRNA expression, thereby affecting functions of aging-associated pathways and influencing lifespan.
We know little about how other miRNA biogenesis pathway components are affected during aging. Although many studies have identified specific miRNAs important for aging, perturbations in miRNA biogenesis may too impact aging-associated pathogenesis and decline. Indeed, miRNA biogenesis is frequently deregulated in cancer.81–83 Further research is needed to elucidate how aging impacts the upstream regulators of miRNA expression.
Conclusions and future perspectives
Aging is a complex process involving multiple genetic pathways. An outstanding goal of the field is to understand how these pathways interact and result in the final output of aging. The IIS pathway certainly has a central role in coordinating different external and internal signals.19 However, there are also pathways that affect aging independently of IIS. The implication of miRNAs in regulating processes involved in aging sheds light on a possible mechanism linking these pathways.
Current research suggests that a large number of miRNAs are differentially expressed during aging. Genetic interactions and computational target predictions suggest that many miRNA may influence aging and lifespan by targeting aging-associated pathways. Furthermore, some miRNAs may regulate multiple pathways, suggesting a role in coordinating the functions of disparate pathways during aging. We have only begun to investigate the depth and breadth of miRNA-mediated regulation during aging. There are still many questions to be addressed such as how miRNAs themselves are regulated during aging and how miRNAs are connected to each other.
Investigating the network structure of pathways in aging will allow us to understand how perturbations in a specific part of the network can affect the overall output (i.e. aging), and it promises to advance our knowledge of aging-related pathogenesis. Some miRNAs have been implicated in genetic feedback loops in the context of development84 and many more have been predicted.85 Further research is needed to identify the exact wiring of the aging network to better understand the systems-level role of miRNAs.
Highlights.
miRNAs have been implicated in aging and may function as network-level regulators.
Differentially expressed miRNAs during aging may target age-associated pathways.
Specific miRNAs may link and coordinate the functions of aging-associated pathways.
Acknowledgments
The authors would like to thank Zachary Pincus and Chanatip Metheetrairut for critical reading of this manuscript. This work was supported by NIH grant (AG033921).
Abbreviation
- IIS
Insulin/insulin-like growth factor 1 signaling
Footnotes
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References
- 1.Stefani G, Slack FJ. Small non-coding RNAs in animal development. Nat Rev Mol Cell Biol. 2008;9:219–230. doi: 10.1038/nrm2347. [DOI] [PubMed] [Google Scholar]
- 2.Boehm M, Slack F. A developmental timing microRNA and its target regulate life span in C. elegans. Science. 2005;310:1954–1957. doi: 10.1126/science.1115596. [DOI] [PubMed] [Google Scholar]
- 3.Kozomara A, Griffiths-Jones S. miRBase: integrating microRNA annotation and deep-sequencing data. Nucleic Acids Res. 2011;39:D152–7. doi: 10.1093/nar/gkq1027. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Griffiths-Jones S. The microRNA Registry. Nucleic Acids Res. 2004;32:D109–11. doi: 10.1093/nar/gkh023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Griffiths-Jones S, Grocock RJ, van Dongen S, Bateman A, Enright AJ. miRBase: microRNA sequences, targets and gene nomenclature. Nucleic Acids Res. 2006;34:D140–4. doi: 10.1093/nar/gkj112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Griffiths-Jones S, Saini HK, van Dongen S, Enright AJ. miRBase: tools for microRNA genomics. Nucleic Acids Res. 2008;36:D154–8. doi: 10.1093/nar/gkm952. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Lewis BP, Burge CB, Bartel DP. Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets. Cell. 2005;120:15–20. doi: 10.1016/j.cell.2004.12.035. [DOI] [PubMed] [Google Scholar]
- 8.Klass MR. A method for the isolation of longevity mutants in the nematode Caenorhabditis elegans and initial results. Mech Ageing Dev. 1983;22:279–286. doi: 10.1016/0047-6374(83)90082-9. [DOI] [PubMed] [Google Scholar]
- 9.Friedman DB, Johnson TE. A mutation in the age-1 gene in Caenorhabditis elegans lengthens life and reduces hermaphrodite fertility. Genetics. 1988;118:75–86. doi: 10.1093/genetics/118.1.75. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Kenyon C, Chang J, Gensch E, Rudner A, Tabtiang R. A C. elegans mutant that lives twice as long as wild type. Nature. 1993;366:461–464. doi: 10.1038/366461a0. [DOI] [PubMed] [Google Scholar]
- 11.Kenyon C. The plasticity of aging: insights from long-lived mutants. Cell. 2005;120:449–460. doi: 10.1016/j.cell.2005.02.002. [DOI] [PubMed] [Google Scholar]
- 12.Antebi A. Genetics of aging in Caenorhabditis elegans. PLoS Genet. 2007;3:1565–1571. doi: 10.1371/journal.pgen.0030129. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Krek A, Grun D, Poy MN, Wolf R, Rosenberg L, Epstein EJ, MacMenamin P, da Piedade I, Gunsalus KC, Stoffel M, Rajewsky N. Combinatorial microRNA target predictions. Nat Genet. 2005;37:495–500. doi: 10.1038/ng1536. [DOI] [PubMed] [Google Scholar]
- 14.Smith-Vikos T, Slack FJ. MicroRNAs and their roles in aging. J Cell Sci. 2012;125:7–17. doi: 10.1242/jcs.099200;10.1242/jcs.099200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Kato M, Slack FJ. Ageing and the small, non-coding RNA world. Ageing Res Rev. 2012 doi: 10.1016/j.arr.2012.03.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Lund J, Tedesco P, Duke K, Wang J, Kim SK, Johnson TE. Transcriptional profile of aging in C. elegans. Curr Biol. 2002;12:1566–1573. doi: 10.1016/s0960-9822(02)01146-6. [DOI] [PubMed] [Google Scholar]
- 17.McCarroll SA, Murphy CT, Zou S, Pletcher SD, Chin CS, Jan YN, Kenyon C, Bargmann CI, Li H. Comparing genomic expression patterns across species identifies shared transcriptional profile in aging. Nat Genet. 2004;36:197–204. doi: 10.1038/ng1291. [DOI] [PubMed] [Google Scholar]
- 18.Zahn JM, Sonu R, Vogel H, Crane E, Mazan-Mamczarz K, Rabkin R, Davis RW, Becker KG, Owen AB, Kim SK. Transcriptional profiling of aging in human muscle reveals a common aging signature. PLoS Genet. 2006;2:e115. doi: 10.1371/journal.pgen.0020115.eor. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Tatar M, Bartke A, Antebi A. The endocrine regulation of aging by insulin-like signals. Science. 2003;299:1346–1351. doi: 10.1126/science.1081447. [DOI] [PubMed] [Google Scholar]
- 20.Holzenberger M, Dupont J, Ducos B, Leneuve P, Geloen A, Even PC, Cervera P, Le Bouc Y. IGF-1 receptor regulates lifespan and resistance to oxidative stress in mice. Nature. 2003;421:182–187. doi: 10.1038/nature01298. [DOI] [PubMed] [Google Scholar]
- 21.Selman C, Lingard S, Choudhury AI, Batterham RL, Claret M, Clements M, Ramadani F, Okkenhaug K, Schuster E, Blanc E, Piper MD, Al-Qassab H, Speakman JR, Carmignac D, Robinson IC, Thornton JM, Gems D, Partridge L, Withers DJ. Evidence for lifespan extension and delayed age-related biomarkers in insulin receptor substrate 1 null mice. FASEB J. 2008;22:807–818. doi: 10.1096/fj.07-9261com. [DOI] [PubMed] [Google Scholar]
- 22.Pawlikowska L, Hu D, Huntsman S, Sung A, Chu C, Chen J, Joyner AH, Schork NJ, Hsueh WC, Reiner AP, Psaty BM, Atzmon G, Barzilai N, Cummings SR, Browner WS, Kwok PY, Ziv E Study of Osteoporotic Fractures. Association of common genetic variation in the insulin/IGF1 signaling pathway with human longevity. Aging Cell. 2009;8:460–472. doi: 10.1111/j.1474-9726.2009.00493.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Willcox BJ, Donlon TA, He Q, Chen R, Grove JS, Yano K, Masaki KH, Willcox DC, Rodriguez B, Curb JD. FOXO3A genotype is strongly associated with human longevity. Proc Natl Acad Sci U S A. 2008;105:13987–13992. doi: 10.1073/pnas.0801030105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Flachsbart F, Caliebe A, Kleindorp R, Blanche H, von Eller-Eberstein H, Nikolaus S, Schreiber S, Nebel A. Association of FOXO3A variation with human longevity confirmed in German centenarians. Proc Natl Acad Sci U S A. 2009;106:2700–2705. doi: 10.1073/pnas.0809594106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Anselmi CV, Malovini A, Roncarati R, Novelli V, Villa F, Condorelli G, Bellazzi R, Puca AA. Association of the FOXO3A locus with extreme longevity in a southern Italian centenarian study. Rejuvenation Res. 2009;12:95–104. doi: 10.1089/rej.2008.0827. [DOI] [PubMed] [Google Scholar]
- 26.Li Y, Wang WJ, Cao H, Lu J, Wu C, Hu FY, Guo J, Zhao L, Yang F, Zhang YX, Li W, Zheng GY, Cui H, Chen X, Zhu Z, He H, Dong B, Mo X, Zeng Y, Tian XL. Genetic association of FOXO1A and FOXO3A with longevity trait in Han Chinese populations. Hum Mol Genet. 2009;18:4897–4904. doi: 10.1093/hmg/ddp459. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Henderson ST, Johnson TE. daf-16 integrates developmental and environmental inputs to mediate aging in the nematode Caenorhabditis elegans. Curr Biol. 2001;11:1975–1980. doi: 10.1016/s0960-9822(01)00594-2. [DOI] [PubMed] [Google Scholar]
- 28.Hsin H, Kenyon C. Signals from the reproductive system regulate the lifespan of C. elegans. Nature. 1999;399:362–366. doi: 10.1038/20694. [DOI] [PubMed] [Google Scholar]
- 29.Oh SW, Mukhopadhyay A, Svrzikapa N, Jiang F, Davis RJ, Tissenbaum HA. JNK regulates lifespan in Caenorhabditis elegans by modulating nuclear translocation of forkhead transcription factor/DAF-16. Proc Natl Acad Sci U S A. 2005;102:4494–4499. doi: 10.1073/pnas.0500749102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Berdichevsky A, Viswanathan M, Horvitz HR, Guarente L. C. elegans SIR-2.1 interacts with 14-3-3 proteins to activate DAF-16 and extend life span. Cell. 2006;125:1165–1177. doi: 10.1016/j.cell.2006.04.036. [DOI] [PubMed] [Google Scholar]
- 31.Murphy CT, McCarroll SA, Bargmann CI, Fraser A, Kamath RS, Ahringer J, Li H, Kenyon C. Genes that act downstream of DAF-16 to influence the lifespan of Caenorhabditis elegans. Nature. 2003;424:277–283. doi: 10.1038/nature01789. [DOI] [PubMed] [Google Scholar]
- 32.Lee SS, Kennedy S, Tolonen AC, Ruvkun G. DAF-16 target genes that control C. elegans life-span and metabolism. Science. 2003;300:644–647. doi: 10.1126/science.1083614. [DOI] [PubMed] [Google Scholar]
- 33.Oh SW, Mukhopadhyay A, Dixit BL, Raha T, Green MR, Tissenbaum HA. Identification of direct DAF-16 targets controlling longevity, metabolism and diapause by chromatin immunoprecipitation. Nat Genet. 2006;38:251–257. doi: 10.1038/ng1723. [DOI] [PubMed] [Google Scholar]
- 34.Olsen A, Vantipalli MC, Lithgow GJ. Checkpoint proteins control survival of the postmitotic cells in Caenorhabditis elegans. Science. 2006;312:1381–1385. doi: 10.1126/science.1124981. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Lakowski B, Hekimi S. Determination of life-span in Caenorhabditis elegans by four clock genes. Science. 1996;272:1010–1013. doi: 10.1126/science.272.5264.1010. [DOI] [PubMed] [Google Scholar]
- 36.Dillin A, Hsu AL, Arantes-Oliveira N, Lehrer-Graiwer J, Hsin H, Fraser AG, Kamath RS, Ahringer J, Kenyon C. Rates of behavior and aging specified by mitochondrial function during development. Science. 2002;298:2398–2401. doi: 10.1126/science.1077780. [DOI] [PubMed] [Google Scholar]
- 37.Ambros V. MicroRNAs and developmental timing. Curr Opin Genet Dev. 2011;21:511–517. doi: 10.1016/j.gde.2011.04.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Hsu AL, Murphy CT, Kenyon C. Regulation of aging and age-related disease by DAF-16 and heat-shock factor. Science. 2003;300:1142–1145. doi: 10.1126/science.1083701. [DOI] [PubMed] [Google Scholar]
- 39.Morley JF, Morimoto RI. Regulation of longevity in Caenorhabditis elegans by heat shock factor and molecular chaperones. Mol Biol Cell. 2004;15:657–664. doi: 10.1091/mbc.E03-07-0532. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Ibanez-Ventoso C, Yang M, Guo S, Robins H, Padgett RW, Driscoll M. Modulated microRNA expression during adult lifespan in Caenorhabditis elegans. Aging Cell. 2006;5:235–246. doi: 10.1111/j.1474-9726.2006.00210.x. [DOI] [PubMed] [Google Scholar]
- 41.de Lencastre A, Pincus Z, Zhou K, Kato M, Lee SS, Slack FJ. MicroRNAs both promote and antagonize longevity in C. elegans. Curr Biol. 2010;20:2159–2168. doi: 10.1016/j.cub.2010.11.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Kato M, Chen X, Inukai S, Zhao H, Slack FJ. Age-associated changes in expression of small, noncoding RNAs, including microRNAs, in C. elegans. RNA. 2011;17:1804–1820. doi: 10.1261/rna.2714411. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Liu N, Landreh M, Cao K, Abe M, Hendriks GJ, Kennerdell JR, Zhu Y, Wang LS, Bonini NM. The microRNA miR-34 modulates ageing and neurodegeneration in Drosophila. Nature. 2012;482:519–523. doi: 10.1038/nature10810;10.1038/nature10810. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Li N, Bates DJ, An J, Terry DA, Wang E. Up-regulation of key microRNAs, and inverse down-regulation of their predicted oxidative phosphorylation target genes, during aging in mouse brain. Neurobiol Aging. 2011;32:944–955. doi: 10.1016/j.neurobiolaging.2009.04.020. [DOI] [PubMed] [Google Scholar]
- 45.Inukai S, de Lencastre A, Turner M, Slack F. Novel microRNAs differentially expressed during aging in the mouse brain. PLoS One. 2012;7:e40028. doi: 10.1371/journal.pone.0040028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Liang R, Khanna A, Muthusamy S, Li N, Sarojini H, Kopchick JJ, Masternak MM, Bartke A, Wang E. Post-transcriptional regulation of IGF1R by key microRNAs in long-lived mutant mice. Aging Cell. 2011;10:1080–1088. doi: 10.1111/j.1474-9726.2011.00751.x;10.1111/j.1474-9726.2011.00751.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Bates DJ, Li N, Liang R, Sarojini H, An J, Masternak MM, Bartke A, Wang E. MicroRNA regulation in Ames dwarf mouse liver may contribute to delayed aging. Aging Cell. 2010;9:1–18. doi: 10.1111/j.1474-9726.2009.00529.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Maes OC, An J, Sarojini H, Wang E. Murine microRNAs implicated in liver functions and aging process. Mech Ageing Dev. 2008;129:534–541. doi: 10.1016/j.mad.2008.05.004. [DOI] [PubMed] [Google Scholar]
- 49.Zhang X, Azhar G, Wei JY. The expression of microRNA and microRNA clusters in the aging heart. PLoS One. 2012;7:e34688. doi: 10.1371/journal.pone.0034688. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Drummond MJ, McCarthy JJ, Sinha M, Spratt HM, Volpi E, Esser KA, Rasmussen BB. Aging and microRNA expression in human skeletal muscle: a microarray and bioinformatics analysis. Physiol Genomics. 2011;43:595–603. doi: 10.1152/physiolgenomics.00148.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Noren Hooten N, Abdelmohsen K, Gorospe M, Ejiogu N, Zonderman AB, Evans MK. microRNA expression patterns reveal differential expression of target genes with age. PLoS One. 2010;5:e10724. doi: 10.1371/journal.pone.0010724. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Gombar S, Jung HJ, Dong F, Calder B, Atzmon G, Barzilai N, Tian XL, Pothof J, Hoeijmakers JH, Campisi J, Vijg J, Suh Y. Comprehensive microRNA profiling in B-cells of human centenarians by massively parallel sequencing. BMC Genomics. 2012;13:353. doi: 10.1186/1471-2164-13-353. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.ElSharawy A, Keller A, Flachsbart F, Wendschlag A, Jacobs G, Kefer N, Brefort T, Leidinger P, Backes C, Meese E, Schreiber S, Rosenstiel P, Franke A, Nebel A. Genome-wide miRNA signatures of human longevity. Aging Cell. 2012;11:607–616. doi: 10.1111/j.1474-9726.2012.00824.x;10.1111/j.1474-9726.2012.00824.x. [DOI] [PubMed] [Google Scholar]
- 54.Herndon LA, Schmeissner PJ, Dudaronek JM, Brown PA, Listner KM, Sakano Y, Paupard MC, Hall DH, Driscoll M. Stochastic and genetic factors influence tissue-specific decline in ageing C. elegans. Nature. 2002;419:808–814. doi: 10.1038/nature01135. [DOI] [PubMed] [Google Scholar]
- 55.Ibanez-Ventoso C, Vora M, Driscoll M. Sequence relationships among C. elegans, D. melanogaster and human microRNAs highlight the extensive conservation of microRNAs in biology. PLoS One. 2008;3:e2818. doi: 10.1371/journal.pone.0002818. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Ruby JG, Jan C, Player C, Axtell MJ, Lee W, Nusbaum C, Ge H, Bartel DP. Large-scale sequencing reveals 21U-RNAs and additional microRNAs and endogenous siRNAs in C. elegans. Cell. 2006;127:1193–1207. doi: 10.1016/j.cell.2006.10.040. [DOI] [PubMed] [Google Scholar]
- 57.He L, He X, Lim LP, de Stanchina E, Xuan Z, Liang Y, Xue W, Zender L, Magnus J, Ridzon D, Jackson AL, Linsley PS, Chen C, Lowe SW, Cleary MA, Hannon GJ. A microRNA component of the p53 tumour suppressor network. Nature. 2007;447:1130–1134. doi: 10.1038/nature05939. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Kato M, Paranjape T, Muller RU, Nallur S, Gillespie E, Keane K, Esquela-Kerscher A, Weidhaas JB, Slack FJ. The mir-34 microRNA is required for the DNA damage response in vivo in C. elegans and in vitro in human breast cancer cells. Oncogene. 2009;28:2419–2424. doi: 10.1038/onc.2009.106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Tazawa H, Tsuchiya N, Izumiya M, Nakagama H. Tumor-suppressive miR-34a induces senescence-like growth arrest through modulation of the E2F pathway in human colon cancer cells. Proc Natl Acad Sci U S A. 2007;104:15472–15477. doi: 10.1073/pnas.0707351104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Li N, Muthusamy S, Liang R, Sarojini H, Wang E. Increased expression of miR-34a and miR-93 in rat liver during aging, and their impact on the expression of Mgst1 and Sirt1. Mech Ageing Dev. 2011;132:75–85. doi: 10.1016/j.mad.2010.12.004. [DOI] [PubMed] [Google Scholar]
- 61.Li X, Khanna A, Li N, Wang E. Circulatory miR34a as an RNAbased, noninvasive biomarker for brain aging. Aging (Albany NY) 2011;3:985–1002. doi: 10.18632/aging.100371. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Khanna A, Muthusamy S, Liang R, Sarojini H, Wang E. Gain of survival signaling by down-regulation of three key miRNAs in brain of calorie-restricted mice. Aging (Albany NY) 2011;3:223–236. doi: 10.18632/aging.100276. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Yang J, Chen D, He Y, Melendez A, Feng Z, Hong Q, Bai X, Li Q, Cai G, Wang J, Chen X. MiR-34 modulates Caenorhabditis elegans lifespan via repressing the autophagy gene atg9. Age (Dordr) 2011 doi: 10.1007/s11357-011-9324-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Lau NC, Lim LP, Weinstein EG, Bartel DP. An abundant class of tiny RNAs with probable regulatory roles in Caenorhabditis elegans. Science. 2001;294:858–862. doi: 10.1126/science.1065062. [DOI] [PubMed] [Google Scholar]
- 65.Lee RC, Ambros V. An extensive class of small RNAs in Caenorhabditis elegans. Science. 2001;294:862–864. doi: 10.1126/science.1065329. [DOI] [PubMed] [Google Scholar]
- 66.Lim LP, Lau NC, Weinstein EG, Abdelhakim A, Yekta S, Rhoades MW, Burge CB, Bartel DP. The microRNAs of Caenorhabditis elegans. Genes Dev. 2003;17:991–1008. doi: 10.1101/gad.1074403. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Boulias K, Horvitz HR. The C. elegans microRNA mir-71 acts in neurons to promote germline-mediated longevity through regulation of DAF-16/FOXO. Cell Metab. 2012;15:439–450. doi: 10.1016/j.cmet.2012.02.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Miska EA, Alvarez-Saavedra E, Abbott AL, Lau NC, Hellman AB, McGonagle SM, Bartel DP, Ambros VR, Horvitz HR. Most Caenorhabditis elegans microRNAs are individually not essential for development or viability. PLoS Genet. 2007;3:e215. doi: 10.1371/journal.pgen.0030215. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Hackl M, Brunner S, Fortschegger K, Schreiner C, Micutkova L, Muck C, Laschober GT, Lepperdinger G, Sampson N, Berger P, Herndler-Brandstetter D, Wieser M, Kuhnel H, Strasser A, Rinnerthaler M, Breitenbach M, Mildner M, Eckhart L, Tschachler E, Trost A, Bauer JW, Papak C, Trajanoski Z, Scheideler M, Grillari-Voglauer R, Grubeck-Loebenstein B, Jansen-Durr P, Grillari J. miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging. Aging Cell. 2010;9:291–296. doi: 10.1111/j.1474-9726.2010.00549.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Pandey AC, Semon JA, Kaushal D, O’Sullivan RP, Glowacki J, Gimble JM, Bunnell BA. MicroRNA profiling reveals age-dependent differential expression of nuclear factor kappaB and mitogen-activated protein kinase in adipose and bone marrow- derived human mesenchymal stem cells. Stem Cell Res Ther. 2011;2:49. doi: 10.1186/scrt90;10.1186/scrt90. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Grosshans H, Johnson T, Reinert KL, Gerstein M, Slack FJ. The temporal patterning microRNA let-7 regulates several transcription factors at the larval to adult transition in C. elegans. Dev Cell. 2005;8:321–330. doi: 10.1016/j.devcel.2004.12.019. [DOI] [PubMed] [Google Scholar]
- 72.Larsen PL, Albert PS, Riddle DL. Genes that regulate both development and longevity in Caenorhabditis elegans. Genetics. 1995;139:1567–1583. doi: 10.1093/genetics/139.4.1567. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Bethke A, Fielenbach N, Wang Z, Mangelsdorf DJ, Antebi A. Nuclear hormone receptor regulation of microRNAs controls developmental progression. Science. 2009;324:95–98. doi: 10.1126/science.1164899. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Hammell CM, Karp X, Ambros V. A feedback circuit involving let-7-family miRNAs and DAF-12 integrates environmental signals and developmental timing in Caenorhabditis elegans. Proc Natl Acad Sci U S A. 2009;106:18668–18673. doi: 10.1073/pnas.0908131106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Toledano H, D’Alterio C, Czech B, Levine E, Jones DL. The let-7-Imp axis regulates ageing of the Drosophila testis stem-cell niche. Nature. 2012;485:605–610. doi: 10.1038/nature11061;10.1038/nature11061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Baek D, Villen J, Shin C, Camargo FD, Gygi SP, Bartel DP. The impact of microRNAs on protein output. Nature. 2008;455:64–71. doi: 10.1038/nature07242. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Forstemann K, Tomari Y, Du T, Vagin VV, Denli AM, Bratu DP, Klattenhoff C, Theurkauf WE, Zamore PD. Normal microRNA maturation and germ-line stem cell maintenance requires Loquacious, a double-stranded RNA-binding domain protein. PLoS Biol. 2005;3:e236. doi: 10.1371/journal.pbio.0030236. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Saito K, Ishizuka A, Siomi H, Siomi MC. Processing of pre-microRNAs by the Dicer-1-Loquacious complex in Drosophila cells. PLoS Biol. 2005;3:e235. doi: 10.1371/journal.pbio.0030235. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Jiang F, Ye X, Liu X, Fincher L, McKearin D, Liu Q. Dicer-1 and R3D1-L catalyze microRNA maturation in Drosophila. Genes Dev. 2005;19:1674–1679. doi: 10.1101/gad.1334005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Winter J, Diederichs S. Argonaute proteins regulate microRNA stability: Increased microRNA abundance by Argonaute proteins is due to microRNA stabilization. RNA Biol. 2011;8:1149–1157. doi: 10.4161/rna.8.6.17665. [DOI] [PubMed] [Google Scholar]
- 81.Merritt WM, Lin YG, Han LY, Kamat AA, Spannuth WA, Schmandt R, Urbauer D, Pennacchio LA, Cheng JF, Nick AM, Deavers MT, Mourad-Zeidan A, Wang H, Mueller P, Lenburg ME, Gray JW, Mok S, Birrer MJ, Lopez-Berestein G, Coleman RL, Bar-Eli M, Sood AK. Dicer, Drosha, and outcomes in patients with ovarian cancer. N Engl J Med. 2008;359:2641–2650. doi: 10.1056/NEJMoa0803785. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Thomson JM, Newman M, Parker JS, Morin-Kensicki EM, Wright T, Hammond SM. Extensive post-transcriptional regulation of microRNAs and its implications for cancer. Genes Dev. 2006;20:2202–2207. doi: 10.1101/gad.1444406. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Esquela-Kerscher A, Slack FJ. Oncomirs - microRNAs with a role in cancer. Nat Rev Cancer. 2006;6:259–269. doi: 10.1038/nrc1840. [DOI] [PubMed] [Google Scholar]
- 84.Herranz H, Cohen SM. MicroRNAs and gene regulatory networks: managing the impact of noise in biological systems. Genes Dev. 2010;24:1339–1344. doi: 10.1101/gad.1937010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Martinez NJ, Ow MC, Barrasa MI, Hammell M, Sequerra R, Doucette-Stamm L, Roth FP, Ambros VR, Walhout AJ. A C. elegans genome-scale microRNA network contains composite feedback motifs with high flux capacity. Genes Dev. 2008;22:2535–2549. doi: 10.1101/gad.1678608. [DOI] [PMC free article] [PubMed] [Google Scholar]

