Pillon, Nicolas J.Gabriel, Brendan M.Dollet, LucileSmith, Jonathon A. B.Puig, Laura SardónBotella, JavierBishop, David J.Krook, AnnaZierath, Juleen R.2020-06-182020-06-182020-01-24Pillon, N J, Gabriel, B M, Dollet, L, Smith, J A B, Puig, L S, Botella, J, Bishop, D J, Krook, A & Zierath, J R 2020, 'Transcriptomic profiling of skeletal muscle adaptations to exercise and inactivity', Nature Communications, vol. 11, 470. https://doi.org/10.1038/s41467-019-13869-w2041-1723ORCID: /0000-0001-6878-8779/work/67813898https://hdl.handle.net/2164/14526The authors are supported by grants from the Novo Nordisk Foundation (NNF14OC0011493, NNF17OC0030088 and NNF14OC0009941), Swedish Diabetes Foundation (DIA2018-357, DIA2018-336), Swedish Research Council (2015-00165, 2018-02389), the Strategic Research Program in Diabetes at Karolinska Institutet (2009-1068), the Stockholm County Council (SLL20150517, SLL20170159), the Swedish Research Council for Sport Science (P2018-0097), and the EFSD European Research Programme on New Targets for Type 2 Diabetes supported by an educational research grant from MSD. L.D. was supported by a Novo Nordisk postdoctoral fellowship run in partnership with Karolinska Institutet. B.M.G. was supported by a fellowship from the Wenner-Gren Foundation (Sweden). N.J.P. was supported by an Individual Fellowship from the Marie Skłodowska-Curie Actions (European Commission, 704978, 675610) and grants from the Sigurd och Elsa Goljes Minne and Lars Hiertas Minne Foundations (Sweden). D.J.B. was supported by the ANZ Mason Foundation and Australian Research Council Discovery Program (ARC DP140104165). Additional support was received from the Novo Nordisk Foundation Center for Basic Metabolic Research at the University of Copenhagen (NNF18CC0034900) (to J.R.Z.). We thank Dr. Nanjiang Shu from National Bioinformatics Infrastructure Sweden (NBIS) for setting up the web-server. We also thank EGI federated cloud for providing the computer resource for hosting the web-server. We acknowledge the Beta Cell in-vivo Imaging/Extracellular Flux Analysis core facility supported by the Strategic Research Program (SRP) in Diabetes for the usage of the Seahorse flux analyzer. Open access funding provided by Karolinska Institute.153870298engmolecular medicinetranslational researchHumansExercise/physiologyGene Expression ProfilingGene Regulatory NetworksReceptors, Steroid/geneticsResistance TrainingAdaptation, Physiological/geneticsReceptors, Thyroid Hormone/geneticsDNA-Binding Proteins/geneticsMuscle, Skeletal/physiologyGene OntologySedentary BehaviorR MedicineEuropean Commission704978675610Supplementary DataRJournal article10.1038/s41467-019-13869-whttp://www.scopus.com/inward/record.url?scp=85078120560&partnerID=8YFLogxK11