A novel UPLC-MS metabolomic analysis-based strategy to monitor the course and extent of iPSC differentiation to hepatocytes
- Moreno-Torres, Marta 1
- Kumar, Manoj 2
- Llorens, Guillem García 3
- Quintás, Guillermo 4
- Tricot, Tine 2
- Boon, Ruben 5
- Tolosa, Laia 1
- Toprakhisar, Burak 2
- Francois Chesnais 6
- Verfaillie, Catherine 2
- Castell, José V. 7
- 1 Unidad de Hepatología Experimental, Health Research Institute Hospital La Fe, Valencia, Spain
- 2 Department of Development and Regeneration, Stem Cell Institute, KU Leuven, Leuven, Belgium
- 3 Unidad de Hepatología Experimental, Health Research Institute Hospital La Fe, Valencia, Spain &Departamento de Bioquímica y Biología Molecular, Universidad de Valencia, Valencia, Spain
- 4 Health and Biomedicine, LEITAT Technological Center, Barcelona, Spain &Analytical Unit, Health Research Institute Hospital La Fe, Valencia, Spain
- 5 Department of Development and Regeneration, Stem Cell Institute, KU Leuven, Leuven, Belgium &Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts 02114, USA & The Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
- 6 Department of Development and Regeneration, Stem Cell Institute, KU Leuven, Leuven, Belgium &Academic Center of Reconstructive Science, Kings College London, London
- 7 Unidad de Hepatología Experimental, Health Research Institute Hospital La Fe, Valencia, Spain &Analytical Unit, Health Research Institute Hospital La Fe, Valencia, Spain &Departamento de Bioquímica y Biología Molecular, Universidad de Valencia, Valencia, Spain &Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
Editor: Zenodo
Año de publicación: 2021
Tipo: Dataset
DOI:
10.5281/ZENODO.4922510
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Resumen
ms2 raw data, peak tables generated in Quantitative Analysis Software from Agilent and Matlab functions for QC-SVRC, data clean-up and analysis for the publication with title "Monitoring the differentiation of iPSC to hepatocytes by means of UPLC-MS metabolomics".