Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1783478585792659456 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6907729 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT traxlerlarissa nextgenerationdiseasemodelingwithdirectconversionanewpathtooldneurons AT edenhoferfrank nextgenerationdiseasemodelingwithdirectconversionanewpathtooldneurons AT mertensjerome nextgenerationdiseasemodelingwithdirectconversionanewpathtooldneurons |