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      Crosstalk between Drp1 phosphorylation sites during mitochondrial remodeling and their impact on metabolic adaptation

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          Summary

          Mitochondria constantly undergo fusion and fission events, referred as mitochondrial dynamics, which determine mitochondrial architecture and bioenergetics. Cultured cell studies demonstrate that mitochondrial dynamics are acutely regulated by phosphorylation of the mitochondrial fission orchestrator dynamin-related protein 1 (Drp1) at S579 or S600. However, the physiological impact and crosstalk of these phosphorylation sites is poorly understood. Here, we describe the functional interrelation between S579 and S600 phosphorylation sites in vivo and their role on mitochondrial remodeling. Mice carrying a homozygous Drp1 S600A knockin (Drp1 KI) mutation display larger mitochondria and enhanced lipid oxidation and respiratory capacities, granting improved glucose tolerance and thermogenic response upon high-fat feeding. Housing mice at thermoneutrality blunts these differences, suggesting a role for the brown adipose tissue in the protection of Drp1 KI mice against metabolic damage. Overall, we demonstrate crosstalk between Drp1 phosphorylation sites and provide evidence that their modulation could be used in the treatment and prevention of metabolic diseases.

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          Highlights

          • Drp1 phosphorylation at S600 promotes the phosphorylation at the S579 site

          • Both Drp1 P-S600 and P-S579 are required for maximal mitochondrial fragmentation

          • Drp1 S600A knockin mice are protected against diet-induced metabolic damage

          • Drp1 phosphorylation controls brown adipose tissue thermogenic capacity in mice

          Abstract

          Valera-Alberni et al. show that in mouse cells and tissues, Drp1 phosphorylation at S600 prompts the downstream phosphorylation of S579, triggering mitochondrial fission. Accordingly, Drp1 S600A knockin (Drp1 KI) mice display enlarged mitochondria. Metabolically, Drp1 KI mice show increased lipid oxidation capacity and are protected against diet-induced metabolic disease.

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          Most cited references60

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          NIH Image to ImageJ: 25 years of image analysis

          For the past twenty five years the NIH family of imaging software, NIH Image and ImageJ have been pioneers as open tools for scientific image analysis. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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            In-gel digestion for mass spectrometric characterization of proteins and proteomes.

            In-gel digestion of proteins isolated by gel electrophoresis is a cornerstone of mass spectrometry (MS)-driven proteomics. The 10-year-old recipe by Shevchenko et al. has been optimized to increase the speed and sensitivity of analysis. The protocol is for the in-gel digestion of both silver and Coomassie-stained protein spots or bands and can be followed by MALDI-MS or LC-MS/MS analysis to identify proteins at sensitivities better than a few femtomoles of protein starting material.
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              XCMS Online: a web-based platform to process untargeted metabolomic data.

              Recently, interest in untargeted metabolomics has become prevalent in the general scientific community among an increasing number of investigators. The majority of these investigators, however, do not have the bioinformatic expertise that has been required to process metabolomic data by using command-line driven software programs. Here we introduce a novel platform to process untargeted metabolomic data that uses an intuitive graphical interface and does not require installation or technical expertise. This platform, called XCMS Online, is a web-based version of the widely used XCMS software that allows users to easily upload and process liquid chromatography/mass spectrometry data with only a few mouse clicks. XCMS Online provides a solution for the complete untargeted metabolomic workflow including feature detection, retention time correction, alignment, annotation, statistical analysis, and data visualization. Results can be browsed online in an interactive, customizable table showing statistics, chromatograms, and putative METLIN identities for each metabolite. Additionally, all results and images can be downloaded as zip files for offline analysis and publication. XCMS Online is available at https://xcmsonline.scripps.edu.
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                Author and article information

                Contributors
                Journal
                Cell Rep
                Cell Rep
                Cell Reports
                Cell Press
                2211-1247
                24 August 2021
                24 August 2021
                24 August 2021
                : 36
                : 8
                : 109565
                Affiliations
                [1 ]Nestlé Institute of Health Sciences, Nestlé Research Ltd., Lausanne 1015, Switzerland
                [2 ]School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne 1015, Switzerland
                [3 ]Universitat Rovira i Virgili, Department of Electronic Engineering & IISPV, 43003 Tarragona, Spain
                [4 ]CIBER de Diabetes y Enfermedates Metabólicas Asociadas (CIBERDEM), 28029 Madrid, Spain
                [5 ]Nestlé Institute of Food Safety and Analytical Sciences, Nestlé Research Ltd., Lausanne 1015, Switzerland
                [6 ]Institut des Sciences et Ingénierie Chimiques, EPFL, Lausanne 1015, Switzerland
                [7 ]Biomedical Center, Department of Physiological Chemistry, Ludwig-Maximilians-Universität München, 82152 Planegg-Martinsried, Germany
                Author notes
                []Corresponding author carles.cantoalvarez@ 123456rd.nestle.com
                [8]

                Lead contact

                Article
                S2211-1247(21)00999-2 109565
                10.1016/j.celrep.2021.109565
                8411118
                34433037
                1a021756-59d0-4dc5-b4ba-8a580fa0a355
                © 2021 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 14 September 2020
                : 7 June 2021
                : 29 July 2021
                Categories
                Article

                Cell biology
                mitochondrial dynamics,drp1,mitochondrial respiration,insulin resistance,brown adipose tissue,thermoneutrality,metabolic syndrome,phosphorylation

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