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Diverse reprogramming codes for neuronal identity.
- Source :
-
Nature [Nature] 2018 May; Vol. 557 (7705), pp. 375-380. Date of Electronic Publication: 2018 May 09. - Publication Year :
- 2018
-
Abstract
- The transcriptional programs that establish neuronal identity evolved to produce the rich diversity of neuronal cell types that arise sequentially during development. Remarkably, transient expression of certain transcription factors can also endow non-neural cells with neuronal properties. The relationship between reprogramming factors and the transcriptional networks that produce neuronal identity and diversity remains largely unknown. Here, from a screen of 598 pairs of transcription factors, we identify 76 pairs of transcription factors that induce mouse fibroblasts to differentiate into cells with neuronal features. By comparing the transcriptomes of these induced neuronal cells (iN cells) with those of endogenous neurons, we define a 'core' cell-autonomous neuronal signature. The iN cells also exhibit diversity; each transcription factor pair produces iN cells with unique transcriptional patterns that can predict their pharmacological responses. By linking distinct transcription factor input 'codes' to defined transcriptional outputs, this study delineates cell-autonomous features of neuronal identity and diversity and expands the reprogramming toolbox to facilitate engineering of induced neurons with desired patterns of gene expression and related functional properties.
- Subjects :
- Animals
Fibroblasts cytology
Fibroblasts metabolism
Gene Expression Profiling
Gene Regulatory Networks
Humans
Induced Pluripotent Stem Cells cytology
Induced Pluripotent Stem Cells metabolism
Mice
Neurons drug effects
Sequence Analysis, RNA
Single-Cell Analysis
Transcription Factors metabolism
Transcriptome genetics
Cellular Reprogramming genetics
Neurons cytology
Neurons metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1476-4687
- Volume :
- 557
- Issue :
- 7705
- Database :
- MEDLINE
- Journal :
- Nature
- Publication Type :
- Academic Journal
- Accession number :
- 29743677
- Full Text :
- https://doi.org/10.1038/s41586-018-0103-5