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      Dauer-independent insulin/IGF-1-signalling implicates collagen remodelling in longevity

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          Summary

          Interventions that delay ageing mobilize mechanisms that protect and repair cellular components 13 , but it is unknown how these interventions might slow the functional decline of extracellular matrices 4, 5 , which are also damaged during ageing 6, 7 . Reduced Insulin/IGF-1 signalling (rIIS) extends lifespan across the evolutionary spectrum, and in juvenile C. elegans also allows the transcription factor DAF-16/FOXO to induce development into dauer, a diapause that withstands harsh conditions ( Supplementary Discussion) 1, 2 . It has been suggested that rIIS delays C. elegans ageing through activation of dauer-related processes during adulthood 2, 8, 9 , but some rIIS conditions confer robust lifespan extension unaccompanied by any dauer-like traits 1, 10, 11 . Here we show that rIIS can promote C. elegans longevity through an program that is genetically distinct from the dauer pathway, and requires the Nrf (NF-E2-related factor) ortholog SKN-1 acting in parallel to DAF-16. SKN-1 is inhibited by IIS and has been broadly implicated in longevity 1214 , but is rendered dispensable for rIIS lifespan extension by even mild activity of dauer-related processes. When IIS is decreased under conditions that do not induce dauer traits, SKN-1 most prominently increases expression of collagens and other extracellular matrix (ECM) genes. Diverse genetic, nutritional, and pharmacological pro-longevity interventions delay an age-related decline in collagen expression. These collagens mediate adulthood ECM remodelling, and are needed for ageing to be delayed by interventions that do not involve dauer traits. By genetically delineating a dauer-independent rIIS ageing pathway, our results show that IIS controls a broad set of protective mechanisms during C. elegans adulthood, and may facilitate elucidation of processes of general importance for longevity. The importance of collagen production in diverse anti-ageing interventions implies that ECM remodelling is a generally essential signature of longevity assurance, and that agents promoting ECM youthfulness may have systemic benefit.

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          Most cited references66

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          Cluster analysis and display of genome-wide expression patterns.

          A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according to similarity in pattern of gene expression. The output is displayed graphically, conveying the clustering and the underlying expression data simultaneously in a form intuitive for biologists. We have found in the budding yeast Saccharomyces cerevisiae that clustering gene expression data groups together efficiently genes of known similar function, and we find a similar tendency in human data. Thus patterns seen in genome-wide expression experiments can be interpreted as indications of the status of cellular processes. Also, coexpression of genes of known function with poorly characterized or novel genes may provide a simple means of gaining leads to the functions of many genes for which information is not available currently.
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            Stochastic and genetic factors influence tissue-specific decline in ageing C. elegans.

            The nematode Caenorhabditis elegans is an important model for studying the genetics of ageing, with over 50 life-extension mutations known so far. However, little is known about the pathobiology of ageing in this species, limiting attempts to connect genotype with senescent phenotype. Using ultrastructural analysis and visualization of specific cell types with green fluorescent protein, we examined cell integrity in different tissues as the animal ages. We report remarkable preservation of the nervous system, even in advanced old age, in contrast to a gradual, progressive deterioration of muscle, resembling human sarcopenia. The age-1(hx546) mutation, which extends lifespan by 60-100%, delayed some, but not all, cellular biomarkers of ageing. Strikingly, we found strong evidence that stochastic as well as genetic factors are significant in C. elegans ageing, with extensive variability both among same-age animals and between cells of the same type within individuals.
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              Toward improving Caenorhabditis elegans phenome mapping with an ORFeome-based RNAi library.

              The recently completed Caenorhabditis elegans genome sequence allows application of high-throughput (HT) approaches for phenotypic analyses using RNA interference (RNAi). As large phenotypic data sets become available, "phenoclustering" strategies can be used to begin understanding the complex molecular networks involved in development and other biological processes. The current HT-RNAi resources represent a great asset for phenotypic profiling but are limited by lack of flexibility. For instance, existing resources do not take advantage of the latest improvements in RNAi technology, such as inducible hairpin RNAi. Here we show that a C. elegans ORFeome resource, generated with the Gateway cloning system, can be used as a starting point to generate alternative HT-RNAi resources with enhanced flexibility. The versatility inherent to the Gateway system suggests that additional HT-RNAi libraries can now be readily generated to perform gene knockdowns under various conditions, increasing the possibilities for phenome mapping in C. elegans.
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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                1 November 2014
                15 December 2014
                5 March 2015
                05 September 2015
                : 519
                : 7541
                : 97-101
                Affiliations
                [1 ]Joslin Diabetes Center, Harvard Stem Cell Institute, and Harvard Medical School Department of Genetics, Boston, Massachusetts, 02215, USA
                [2 ]Department of Molecular Biology, Lewis-Sigler Institute for Integrative Genomics, Princeton University, 148 Carl Icahn Laboratory, Washington Road, Princeton, NJ 08544, USA
                Author notes
                Correspondence should be addressed to T. K. B. and C. T. M. ctmurphy@ 123456princeton.edu (CTM) and keith.blackwell@ 123456joslin.harvard.edu (TKB)
                [3]

                Equal contributions

                Article
                NIHMS638364
                10.1038/nature14021
                4352135
                25517099
                d066b40d-7653-4f30-a1c2-92dec491bc6d
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