1. Inborn errors of metabolism: Lessons from iPSC models
- Author
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Raquel Ferrer-Lorente, Angel Raya, and Rubén Escribá
- Subjects
0301 basic medicine ,Computer science ,Endocrinology, Diabetes and Metabolism ,Induced Pluripotent Stem Cells ,Bioengineering ,Lysosomal storage disorders ,Context (language use) ,Stem cells ,Article ,03 medical and health sciences ,0302 clinical medicine ,Endocrinology ,Humans ,Bioenginyeria ,Human Induced Pluripotent Stem Cells ,Targeted genome edition ,CRISPR/Cas9 ,Human induced pluripotent stem cells ,Reprogramming ,Data science ,Metabolisme ,Metabolism ,Disease modeling ,030104 developmental biology ,Cèl·lules mare ,Metabolism, Inborn Errors ,030217 neurology & neurosurgery - Abstract
The possibility of reprogramming human somatic cells to pluripotency has opened unprecedented opportunities for creating genuinely human experimental models of disease. Inborn errors of metabolism (IEMs) constitute a greatly heterogeneous class of diseases that appear, in principle, especially suited to be modeled by iPSC-based technology. Indeed, dozens of IEMs have already been modeled to some extent using patient-specific iPSCs. Here, we review the advantages and disadvantages of iPSC-based disease modeling in the context of IEMs, as well as particular challenges associated to this approach, together with solutions researchers have proposed to tackle them. We have structured this review around six lessons that we have learnt from those previous modeling efforts, and that we believe should be carefully considered by researchers wishing to embark in future iPSC-based models of IEMs. Supplementary Information The online version contains supplementary material available at 10.1007/s11154-021-09671-z.
- Published
- 2021