Published June 10, 2021
| Version v1
Dataset
Open
A novel UPLC-MS metabolomic analysis-based strategy to monitor the course and extent of iPSC differentiation to hepatocytes
Authors/Creators
- 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
Description
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".
Files
Neg.ms2.zip
Files
(296.4 MB)
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