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      Hormetic effect of rotenone in primary human fibroblasts

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          Abstract

          Background

          Rotenone inhibits the electron transfer from complex I to ubiquinone, in this way interfering with the electron transport chain in mitochondria. This chain of events induces increased levels of intracellular reactive oxygen species, which in turn can contribute to acceleration of telomere shortening and induction of DNA damage, ultimately resulting in aging. In this study, we investigated the effect of rotenone treatment in human fibroblast strains.

          Results

          For the first time we here describe that rotenone treatment induced a hormetic effect in human fibroblast strains. We identified a number of genes which were commonly differentially regulated due to low dose rotenone treatment in fibroblasts independent of their cell origin. However, these genes were not among the most strongly differentially regulated genes in the fibroblast strains on treatment with rotenone. Thus, if there is a common hormesis regulation, it is superimposed by cell strain specific individual responses. We found the rotenone induced differential regulation of pathways common between the two fibroblast strains, being weaker than the pathways individually regulated in the single fibroblast cell strains. Furthermore, within the common pathways different genes were responsible for this different regulation. Thus, rotenone induced hormesis was related to a weak pathway signal, superimposed by a stronger individual cellular response, a situation as found for the differentially expressed genes.

          Conclusion

          We found that the concept of hormesis also applies to in vitro aging of primary human fibroblasts. However, in depth analysis of the genes as well as the pathways differentially regulated due to rotenone treatment revealed cellular hormesis being related to weak signals which are superimposed by stronger individual cell-internal responses. This would explain that in general hormesis is a small effect. Our data indicate that the observed hormetic phenotype does not result from a specific strong well-defined gene or pathway regulation but from weak common cellular processes induced by low levels of reactive oxygen species. This conclusion also holds when comparing our results with those obtained for C. elegans in which the same low dose rotenone level induced a life span extending, thus hormetic effect.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12979-015-0038-8) contains supplementary material, which is available to authorized users.

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          Most cited references81

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            featureCounts: an efficient general purpose program for assigning sequence reads to genomic features.

            Next-generation sequencing technologies generate millions of short sequence reads, which are usually aligned to a reference genome. In many applications, the key information required for downstream analysis is the number of reads mapping to each genomic feature, for example to each exon or each gene. The process of counting reads is called read summarization. Read summarization is required for a great variety of genomic analyses but has so far received relatively little attention in the literature. We present featureCounts, a read summarization program suitable for counting reads generated from either RNA or genomic DNA sequencing experiments. featureCounts implements highly efficient chromosome hashing and feature blocking techniques. It is considerably faster than existing methods (by an order of magnitude for gene-level summarization) and requires far less computer memory. It works with either single or paired-end reads and provides a wide range of options appropriate for different sequencing applications. featureCounts is available under GNU General Public License as part of the Subread (http://subread.sourceforge.net) or Rsubread (http://www.bioconductor.org) software packages.
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              R: A Language and Environment for Statistical Computing.

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                Author and article information

                Contributors
                smarthandan@fli-leibniz.de
                steffen.priebe@gmail.com
                mgroth@fli-leibniz.de
                reinhard.guthke@hki-jena.de
                matthias.platzer@fli-leibniz.de
                phemmer@fli-leibniz.de
                diekmann@fli-leibniz.de
                Journal
                Immun Ageing
                Immun Ageing
                Immunity & Ageing : I & A
                BioMed Central (London )
                1742-4933
                16 September 2015
                16 September 2015
                2015
                : 12
                : 11
                Affiliations
                [ ]Leibniz-Institute for Age Research - Fritz Lipmann Institute e.V. (FLI), Beutenbergstrasse 11, D-07745 Jena, Germany
                [ ]Leibniz Institute for Natural Product Research and Infection Biology - Hans-Knöll-Institute e.V. (HKI), Jena, Germany
                Article
                38
                10.1186/s12979-015-0038-8
                4572608
                26380578
                96926c5e-c28d-424d-ac35-dd8aa13d0723
                © Marthandan et al. 2015

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 10 July 2015
                : 1 September 2015
                Categories
                Research
                Custom metadata
                © The Author(s) 2015

                Immunology
                Immunology

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