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Transcriptomic profiling of long- and short-lived mutant mice implicates mitochondrial metabolism in ageing and shows signatures of normal ageing in progeroid mice
View ORCID ProfileMatias Fuentealba, View ORCID ProfileDaniel K. Fabian, View ORCID ProfileHandan Melike Dönertaş, View ORCID ProfileJanet M. Thornton, View ORCID ProfileLinda Partridge
doi: https://doi.org/10.1101/2020.10.20.347013
Matias Fuentealba
1Institute of Healthy Ageing, Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK
2European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK
Daniel K. Fabian
1Institute of Healthy Ageing, Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK
2European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK
Handan Melike Dönertaş
2European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK
Janet M. Thornton
2European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK
Linda Partridge
1Institute of Healthy Ageing, Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK
3Max Planck Institute for Biology of Ageing, Cologne, Germany
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Posted October 21, 2020.
Transcriptomic profiling of long- and short-lived mutant mice implicates mitochondrial metabolism in ageing and shows signatures of normal ageing in progeroid mice
Matias Fuentealba, Daniel K. Fabian, Handan Melike Dönertaş, Janet M. Thornton, Linda Partridge
bioRxiv 2020.10.20.347013; doi: https://doi.org/10.1101/2020.10.20.347013
Transcriptomic profiling of long- and short-lived mutant mice implicates mitochondrial metabolism in ageing and shows signatures of normal ageing in progeroid mice
Matias Fuentealba, Daniel K. Fabian, Handan Melike Dönertaş, Janet M. Thornton, Linda Partridge
bioRxiv 2020.10.20.347013; doi: https://doi.org/10.1101/2020.10.20.347013
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