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Next‐generation disease modeling with direct conversion: a new path to old neurons
Author(s) -
Traxler Larissa,
Edenhofer Frank,
Mertens Jerome
Publication year - 2019
Publication title -
febs letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.593
H-Index - 257
eISSN - 1873-3468
pISSN - 0014-5793
DOI - 10.1002/1873-3468.13678
Subject(s) - reprogramming , epigenetics , neuroscience , disease , induced pluripotent stem cell , computational biology , computer science , biology , epigenesis , cellular model , complement (music) , cell , phenotype , embryonic stem cell , medicine , genetics , dna methylation , in vitro , gene expression , gene , pathology , complementation
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.