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      Mitochondrial Mistranslation in Brain Provokes a Metabolic Response Which Mitigates the Age-Associated Decline in Mitochondrial Gene Expression

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          Abstract

          Mitochondrial misreading, conferred by mutation V338Y in mitoribosomal protein Mrps5, in-vivo is associated with a subtle neurological phenotype. Brain mitochondria of homozygous knock-in mutant Mrps5 V338Y/V338Y mice show decreased oxygen consumption and reduced ATP levels. Using a combination of unbiased RNA-Seq with untargeted metabolomics, we here demonstrate a concerted response, which alleviates the impaired functionality of OXPHOS complexes in Mrps5 mutant mice. This concerted response mitigates the age-associated decline in mitochondrial gene expression and compensates for impaired respiration by transcriptional upregulation of OXPHOS components together with anaplerotic replenishment of the TCA cycle (pyruvate, 2-ketoglutarate).

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          Most cited references37

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

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            Fast gapped-read alignment with Bowtie 2.

            As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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              edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

              Summary: It is expected that emerging digital gene expression (DGE) technologies will overtake microarray technologies in the near future for many functional genomics applications. One of the fundamental data analysis tasks, especially for gene expression studies, involves determining whether there is evidence that counts for a transcript or exon are significantly different across experimental conditions. edgeR is a Bioconductor software package for examining differential expression of replicated count data. An overdispersed Poisson model is used to account for both biological and technical variability. Empirical Bayes methods are used to moderate the degree of overdispersion across transcripts, improving the reliability of inference. The methodology can be used even with the most minimal levels of replication, provided at least one phenotype or experimental condition is replicated. The software may have other applications beyond sequencing data, such as proteome peptide count data. Availability: The package is freely available under the LGPL licence from the Bioconductor web site (http://bioconductor.org). Contact: mrobinson@wehi.edu.au
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Int J Mol Sci
                Int J Mol Sci
                ijms
                International Journal of Molecular Sciences
                MDPI
                1422-0067
                09 March 2021
                March 2021
                : 22
                : 5
                : 2746
                Affiliations
                [1 ]Institut für Medizinische Mikrobiologie, Universität Zürich, 8006 Zürich, Switzerland; dscherbakov@ 123456imm.uzh.ch (D.S.); reda.juskeviciene@ 123456gmx.ch (R.J.); acortes@ 123456imm.uzh.ch (A.C.S.); mbrilkova@ 123456imm.uzh.ch (M.B.)
                [2 ]Functional Genomics Center Zurich, ETH Zürich und Universität Zürich, 8006 Zürich, Switzerland; hubert.rehrauer@ 123456fgcz.ethz.ch (H.R.); endre.laczko@ 123456fgcz.uzh.ch (E.L.)
                Author notes
                [* ]Correspondence: boettger@ 123456imm.uzh.ch ; Tel.: +41-44634-2660; Fax: +41-44634-4906
                Author information
                https://orcid.org/0000-0001-7612-9394
                https://orcid.org/0000-0002-2570-0121
                Article
                ijms-22-02746
                10.3390/ijms22052746
                7963198
                33803109
                807b1e2c-cbcf-4964-9666-49b9ad3f7aec
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 01 February 2021
                : 05 March 2021
                Categories
                Article

                Molecular biology
                mitochondria,misreading,brain,aging,metabolome
                Molecular biology
                mitochondria, misreading, brain, aging, metabolome

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