Literature DB >> 29743677

Diverse reprogramming codes for neuronal identity.

Rachel Tsunemoto1,2, Sohyon Lee1, Attila Szűcs3,4, Pavel Chubukov1, Irina Sokolova5, Joel W Blanchard1, Kevin T Eade1, Jacob Bruggemann6, Chunlei Wu6, Ali Torkamani7, Pietro Paolo Sanna5, Kristin K Baldwin8,9.   

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.

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Year:  2018        PMID: 29743677      PMCID: PMC6483730          DOI: 10.1038/s41586-018-0103-5

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  42 in total

1.  MiR-124 and Small Molecules Synergistically Regulate the Generation of Neuronal Cells from Rat Cortical Reactive Astrocytes.

Authors:  Yangyang Zheng; Zhehao Huang; Jinying Xu; Kun Hou; Yifei Yu; Shuang Lv; Lin Chen; Yulin Li; Chengshi Quan; Guangfan Chi
Journal:  Mol Neurobiol       Date:  2021-03-16       Impact factor: 5.590

2.  CRISPR Interference-Based Platform for Multimodal Genetic Screens in Human iPSC-Derived Neurons.

Authors:  Ruilin Tian; Mariam A Gachechiladze; Connor H Ludwig; Matthew T Laurie; Jason Y Hong; Diane Nathaniel; Anika V Prabhu; Michael S Fernandopulle; Rajan Patel; Mehrnoosh Abshari; Michael E Ward; Martin Kampmann
Journal:  Neuron       Date:  2019-08-15       Impact factor: 17.173

Review 3.  Perspectives on defining cell types in the brain.

Authors:  Eran A Mukamel; John Ngai
Journal:  Curr Opin Neurobiol       Date:  2018-12-06       Impact factor: 6.627

Review 4.  Neuronal differentiation strategies: insights from single-cell sequencing and machine learning.

Authors:  Nikolaos Konstantinides; Claude Desplan
Journal:  Development       Date:  2020-12-08       Impact factor: 6.868

Review 5.  Shared and derived features of cellular diversity in the human cerebral cortex.

Authors:  Daniel J Miller; Aparna Bhaduri; Nenad Sestan; Arnold Kriegstein
Journal:  Curr Opin Neurobiol       Date:  2019-01-21       Impact factor: 6.627

Review 6.  Integrating CRISPR Engineering and hiPSC-Derived 2D Disease Modeling Systems.

Authors:  Kristina Rehbach; Michael B Fernando; Kristen J Brennand
Journal:  J Neurosci       Date:  2020-02-05       Impact factor: 6.167

7.  CRISPR Activation Screens Systematically Identify Factors that Drive Neuronal Fate and Reprogramming.

Authors:  Yanxia Liu; Chen Yu; Timothy Patrick Daley; Fangyuan Wang; William S Cao; Salil Bhate; Xueqiu Lin; Chris Still; Honglei Liu; Dehua Zhao; Haifeng Wang; Xinmin S Xie; Sheng Ding; Wing Hung Wong; Marius Wernig; Lei S Qi
Journal:  Cell Stem Cell       Date:  2018-10-11       Impact factor: 24.633

8.  Human neurons to model aging: A dish best served old.

Authors:  Lena Böhnke; Larissa Traxler; Joseph R Herdy; Jerome Mertens
Journal:  Drug Discov Today Dis Models       Date:  2019-02-12

9.  CRISPR-activation-based screen reveals neuronal fate promotion by polycomb repressive complex 2 during direct reprogramming.

Authors:  Tim Wolfram; Baris Tursun
Journal:  Stem Cell Investig       Date:  2019-09-12

10.  SingleCellNet: A Computational Tool to Classify Single Cell RNA-Seq Data Across Platforms and Across Species.

Authors:  Yuqi Tan; Patrick Cahan
Journal:  Cell Syst       Date:  2019-07-31       Impact factor: 10.304

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