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      OASIS: Online Application for the Survival Analysis of Lifespan Assays Performed in Aging Research

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          Abstract

          Background

          Aging is a fundamental biological process. Characterization of genetic and environmental factors that influence lifespan is a crucial step toward understanding the mechanisms of aging at the organism level. To capture the different effects of genetic and environmental factors on lifespan, appropriate statistical analyses are needed.

          Methodology/Principal Findings

          We developed an online application for survival analysis (OASIS) that helps conduct various novel statistical tasks involved in analyzing survival data in a user-friendly manner. OASIS provides standard survival analysis results including Kaplan-Meier estimates and mean/median survival time by taking censored survival data. OASIS also provides various statistical tests including comparison of mean survival time, overall survival curve, and survival rate at specific time point. To visualize survival data, OASIS generates survival and log cumulative hazard plots that enable researchers to easily interpret their experimental results. Furthermore, we provide statistical methods that can analyze variances among survival datasets. In addition, users can analyze proportional effects of risk factors on survival.

          Conclusions/Significance

          OASIS provides a platform that is essential to facilitate efficient statistical analyses of survival data in the field of aging research. Web application and a detailed description of algorithms are accessible from http://sbi.postech.ac.kr/oasis.

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          Most cited references33

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          Tests of Equality Between Sets of Coefficients in Two Linear Regressions

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            daf-2, an insulin receptor-like gene that regulates longevity and diapause in Caenorhabditis elegans.

            A C. elegans neurosecretory signaling system regulates whether animals enter the reproductive life cycle or arrest development at the long-lived dauer diapause stage. daf-2, a key gene in the genetic pathway that mediates this endocrine signaling, encodes an insulin receptor family member. Decreases in DAF-2 signaling induce metabolic and developmental changes, as in mammalian metabolic control by the insulin receptor. Decreased DAF-2 signaling also causes an increase in life-span. Life-span regulation by insulin-like metabolic control is analogous to mammalian longevity enhancement induced by caloric restriction, suggesting a general link between metabolism, diapause, and longevity.
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              Regulation of lifespan in Drosophila by modulation of genes in the TOR signaling pathway.

              In many species, reducing nutrient intake without causing malnutrition extends lifespan. Like DR (dietary restriction), modulation of genes in the insulin-signaling pathway, known to alter nutrient sensing, has been shown to extend lifespan in various species. In Drosophila, the target of rapamycin (TOR) and the insulin pathways have emerged as major regulators of growth and size. Hence we examined the role of TOR pathway genes in regulating lifespan by using Drosophila. We show that inhibition of TOR signaling pathway by alteration of the expression of genes in this nutrient-sensing pathway, which is conserved from yeast to human, extends lifespan in a manner that may overlap with known effects of dietary restriction on longevity. In Drosophila, TSC1 and TSC2 (tuberous sclerosis complex genes 1 and 2) act together to inhibit TOR (target of rapamycin), which mediates a signaling pathway that couples amino acid availability to S6 kinase, translation initiation, and growth. We find that overexpression of dTsc1, dTsc2, or dominant-negative forms of dTOR or dS6K all cause lifespan extension. Modulation of expression in the fat is sufficient for the lifespan-extension effects. The lifespan extensions are dependent on nutritional condition, suggesting a possible link between the TOR pathway and dietary restriction.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2011
                15 August 2011
                : 6
                : 8
                : e23525
                Affiliations
                [1 ]School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology, Pohang, South Korea
                [2 ]Department of Molecular Life Science, Pohang University of Science and Technology, Pohang, South Korea
                [3 ]World Class University Information Technology Convergence Engineering, Pohang University of Science and Technology, Pohang, South Korea
                Universita' del Piemonte Orientale, Italy
                Author notes

                Conceived and designed the experiments: J-SY H-JN S-JL SK. Performed the experiments: J-SY MS S-JL. Analyzed the data: J-SY H-JN S-JL. Contributed reagents/materials/analysis tools: J-SY MS SKH YC HGN. Wrote the paper: J-SY H-JN S-JL SK.

                Article
                PONE-D-11-06840
                10.1371/journal.pone.0023525
                3156233
                21858155
                7e29f654-55a6-4416-a3cf-835a92cea4e1
                Yang et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 18 April 2011
                : 19 July 2011
                Page count
                Pages: 11
                Categories
                Research Article
                Biology
                Anatomy and Physiology
                Physiological Processes
                Aging
                Developmental Biology
                Organism Development
                Aging
                Evolutionary Biology
                Aging
                Population Biology
                Epidemiology
                Life Course Epidemiology
                Aging
                Computer Science
                Computer Applications
                Web-Based Applications
                Mathematics
                Statistics
                Biostatistics
                Medicine
                Anatomy and Physiology
                Physiological Processes
                Aging
                Epidemiology
                Lifecourse Epidemiology
                Social and Behavioral Sciences
                Sociology
                Demography
                Life Expectancy

                Uncategorized
                Uncategorized

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