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Next‐generation disease modeling with direct conversion: a new path to old neurons

Within just over a decade, human reprogramming‐based disease modeling has developed from a rather outlandish idea into an essential part of disease research. While iPSCs are a valuable tool for modeling developmental and monogenetic disorders, their rejuvenated identity poses limitations for modelin...

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Autores principales: Traxler, Larissa, Edenhofer, Frank, Mertens, Jerome
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6907729/
https://www.ncbi.nlm.nih.gov/pubmed/31715002
http://dx.doi.org/10.1002/1873-3468.13678
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author Traxler, Larissa
Edenhofer, Frank
Mertens, Jerome
author_facet Traxler, Larissa
Edenhofer, Frank
Mertens, Jerome
author_sort Traxler, Larissa
collection PubMed
description Within just over a decade, human reprogramming‐based disease modeling has developed from a rather outlandish idea into an essential part of disease research. While iPSCs are a valuable tool for modeling developmental and monogenetic disorders, their rejuvenated identity poses limitations for modeling age‐associated diseases. Direct cell‐type conversion of fibroblasts into induced neurons (iNs) circumvents rejuvenation and preserves hallmarks of cellular aging. iNs are thus advantageous for modeling diseases that possess strong age‐related and epigenetic contributions and can complement iPSC‐based strategies for disease modeling. In this review, we provide an overview of the state of the art of direct iN conversion and describe the key epigenetic, transcriptomic, and metabolic changes that occur in converting fibroblasts. Furthermore, we summarize new insights into this fascinating process, particularly focusing on the rapidly changing criteria used to define and characterize in vitro‐born human neurons. Finally, we discuss the unique features that distinguish iNs from other reprogramming‐based neuronal cell models and how iNs are relevant to disease modeling.
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spelling pubmed-69077292019-12-23 Next‐generation disease modeling with direct conversion: a new path to old neurons Traxler, Larissa Edenhofer, Frank Mertens, Jerome FEBS Lett Neuroscience Within just over a decade, human reprogramming‐based disease modeling has developed from a rather outlandish idea into an essential part of disease research. While iPSCs are a valuable tool for modeling developmental and monogenetic disorders, their rejuvenated identity poses limitations for modeling age‐associated diseases. Direct cell‐type conversion of fibroblasts into induced neurons (iNs) circumvents rejuvenation and preserves hallmarks of cellular aging. iNs are thus advantageous for modeling diseases that possess strong age‐related and epigenetic contributions and can complement iPSC‐based strategies for disease modeling. In this review, we provide an overview of the state of the art of direct iN conversion and describe the key epigenetic, transcriptomic, and metabolic changes that occur in converting fibroblasts. Furthermore, we summarize new insights into this fascinating process, particularly focusing on the rapidly changing criteria used to define and characterize in vitro‐born human neurons. Finally, we discuss the unique features that distinguish iNs from other reprogramming‐based neuronal cell models and how iNs are relevant to disease modeling. John Wiley and Sons Inc. 2019-11-26 2019-12 /pmc/articles/PMC6907729/ /pubmed/31715002 http://dx.doi.org/10.1002/1873-3468.13678 Text en © 2019 The Authors. FEBS Letters published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Neuroscience
Traxler, Larissa
Edenhofer, Frank
Mertens, Jerome
Next‐generation disease modeling with direct conversion: a new path to old neurons
title Next‐generation disease modeling with direct conversion: a new path to old neurons
title_full Next‐generation disease modeling with direct conversion: a new path to old neurons
title_fullStr Next‐generation disease modeling with direct conversion: a new path to old neurons
title_full_unstemmed Next‐generation disease modeling with direct conversion: a new path to old neurons
title_short Next‐generation disease modeling with direct conversion: a new path to old neurons
title_sort next‐generation disease modeling with direct conversion: a new path to old neurons
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6907729/
https://www.ncbi.nlm.nih.gov/pubmed/31715002
http://dx.doi.org/10.1002/1873-3468.13678
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