| Title: |
MuscleJ: a high-content analysis method to study skeletal muscle with a new Fiji tool |
| Authors: |
Mayeuf-Louchart, Alicia; Hardy, David; Thorel, Quentin; Roux, Pascal; Gueniot, Lorna; Briand, David; Mazeraud, Aurélien; Bouglé, Adrien; Shorte, Spencer; Staels, Bart; Chretien, Fabrice; Duez, Hélène; Danckaert, Anne |
| Contributors: |
Récepteurs nucléaires, maladies cardiovasculaires et diabète - U 1011 (RNMCD); Institut Pasteur de Lille; Pasteur Network (Réseau International des Instituts Pasteur)-Pasteur Network (Réseau International des Instituts Pasteur)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire CHU Lille (CHRU Lille); Neuropathologie expérimentale - Experimental neuropathology; Institut Pasteur Paris (IP)-Université Paris Descartes - Paris 5 (UPD5); Institut Pasteur Paris (IP); BioImagerie Photonique – Photonic BioImaging (UTechS PBI); This work was supported by research grants from the Association Française contre les Myopathies AFM (to AML, FC and DH), Fédération Francophone de Recherche sur le Diabète FFRD, sponsored by Fédération Française des Diabétiques (AFD), AstraZeneca, Eli Lilly, Merck Sharp & Dohme (MSD), Novo Nordisk & Sanofi, (to HD), Fondation de France (to HD), the “European Genomic Institute for Diabetes” (EGID, ANR-10-LABX-46) (to HD and BS), the Fondation des Gueules Cassées (DH and FC), and an ERC-Région Hauts de France funding (to HD). BS is a holder of an ERC advanced grant no. 694717 “Bile acid, immune-metabolism, lipid and glucose homeostasis”. The PBI (AD, PR, and SLS) is part of the France BioImaging infrastructure supported by the French National Research Agency (ANR-10-INSB-04-01, “Investments for the future”); ANR-10-LABX-0046,EGID,EGID Diabetes Pole(2010); ANR-10-INBS-0004,France-BioImaging,Développment d'une infrastructure française distribuée coordonnée(2010); European Project: 694717,H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) ,ImmunoBile(2016) |
| Source: |
ISSN: 2044-5040 ; Skeletal Muscle ; https://pasteur.hal.science/pasteur-01926223 ; Skeletal Muscle, 2018, 8 (1), pp.25. ⟨10.1186/s13395-018-0171-0⟩. |
| Publisher Information: |
CCSD; BioMed Central |
| Publication Year: |
2018 |
| Subject Terms: |
Fiber typing; Histology; Image automated quantification; In situ cartography; Stem cells; Skeletal muscle fiber; Vessels; Satellite cells; [SDV.MHEP.AHA]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO] |
| Description: |
International audience ; Skeletal muscle has the capacity to adapt to environmental changes and regenerate upon injury. To study these processes, most experimental methods use quantification of parameters obtained from images of immunostained skeletal muscle. Muscle cross-sectional area, fiber typing, localization of nuclei within the muscle fiber, the number of vessels, and fiber-associated stem cells are used to assess muscle physiology. Manual quantification of these parameters is time consuming and only poorly reproducible. While current state-of-the-art software tools are unable to analyze all these parameters simultaneously, we have developed MuscleJ, a new bioinformatics tool to do so. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
info:eu-repo/semantics/altIdentifier/pmid/30081940; info:eu-repo/grantAgreement//694717/EU/Bile acid, immune-metabolism, lipid and glucose homeostasis/ImmunoBile; PUBMED: 30081940 |
| DOI: |
10.1186/s13395-018-0171-0 |
| Availability: |
https://pasteur.hal.science/pasteur-01926223; https://pasteur.hal.science/pasteur-01926223v1/document; https://pasteur.hal.science/pasteur-01926223v1/file/Mayeuf-Louchart-BMC_Sketetal-muscle_2018.pdf; https://doi.org/10.1186/s13395-018-0171-0 |
| Rights: |
http://creativecommons.org/licenses/by/ ; info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.50F00E55 |
| Database: |
BASE |