Markus H. Kuehn & Wei Zhu 
Human iPSC-derived Disease Models for Drug Discovery [PDF ebook] 

Ondersteuning

Since their development a decade ago, human induced pluripotent stem cells (i PSC) have revolutionized the study of human disease, given rise to regenerative medicine technologies, and provided exceptional opportunities for pharmacologic research. These cells provide an essentially unlimited supply of cell types that are difficult to obtain from patients, such as neurons or cardiomyocytes, or are difficult to maintain in primary cell culture. i PSC can be obtained from patients afflicted with a particular disease but, in combination with recently developed gene editing techniques, can also be modified to generate disease models. Moreover, the new techniques of 3 Dimensional printing and materials science facilitate the generation of organoids that can mirror organs under disease conditions. These properties make i PSC powerful tools to study how diseases develop and how they may be treated. In addition, i PSC can also be used to treat conditions in which the target cell population has beenlost and such regenerative approaches hold great promise for currently untreatable diseases, including cardiac failure or photoreceptor degenerations.

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Inhoudsopgave


Part 1 General considerations.- Human i PS for clinical applications and cellular products.- 3D-printed i PS disease models.- Part 2 CNS i PSC and organoids.- i PS-derived neurons and brain organoids from patients (brain).- i PS-derived RGCs (eye).- i PS-derived glia (brain).- i PSC to model blood-brain barrier endothelial cells.- Part 3 i PSC-derived nociceptive neurons.- IPSC-based peripheral nerve modeling.- Part 4 Non-neuronal specialized cell types.- i PSC-based drug screening of differentiated cardiomyocyte subtypes.- i PSC-based cardiac disease modeling: from cell to tissue.- i PSC-derived corneal endothelial cell.- i PSC-derived trabecular meshwork (eye).- i PSC for in vitro disease modeling of diabetes.

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Taal Engels ● Formaat PDF ● Pagina’s 332 ● ISBN 9783031423499 ● Bestandsgrootte 7.9 MB ● Editor Markus H. Kuehn & Wei Zhu ● Uitgeverij Springer International Publishing ● Stad Cham ● Land CH ● Gepubliceerd 2023 ● Downloadbare 24 maanden ● Valuta EUR ● ID 9252001 ● Kopieerbeveiliging Sociale DRM

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