Literature DB >> 26516211

NeuroD1 reprograms chromatin and transcription factor landscapes to induce the neuronal program.

Abhijeet Pataskar1, Johannes Jung1, Pawel Smialowski2, Florian Noack3, Federico Calegari3, Tobias Straub2, Vijay K Tiwari4.   

Abstract

Cell fate specification relies on the action of critical transcription factors that become available at distinct stages of embryonic development. One such factor is NeuroD1, which is essential for eliciting the neuronal development program and possesses the ability to reprogram other cell types into neurons. Given this capacity, it is important to understand its targets and the mechanism underlying neuronal specification. Here, we show that NeuroD1 directly binds regulatory elements of neuronal genes that are developmentally silenced by epigenetic mechanisms. This targeting is sufficient to initiate events that confer transcriptional competence, including reprogramming of transcription factor landscape, conversion of heterochromatin to euchromatin, and increased chromatin accessibility, indicating potential pioneer factor ability of NeuroD1. The transcriptional induction of neuronal fate genes is maintained via epigenetic memory despite a transient NeuroD1 induction during neurogenesis. NeuroD1 also induces genes involved in the epithelial-to-mesenchymal transition, thereby promoting neuronal migration. Our study not only reveals the NeuroD1-dependent gene regulatory program driving neurogenesis but also increases our understanding of how cell fate specification during development involves a concerted action of transcription factors and epigenetic mechanisms.
© 2015 The Authors.

Entities:  

Keywords:  NeuroD1; epigenetics; gene regulation; neurogenesis; pioneer transcription factor

Mesh:

Substances:

Year:  2015        PMID: 26516211      PMCID: PMC4718003          DOI: 10.15252/embj.201591206

Source DB:  PubMed          Journal:  EMBO J        ISSN: 0261-4189            Impact factor:   11.598


  72 in total

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Journal:  Genes Dev       Date:  1999-08-01       Impact factor: 11.361

2.  Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks.

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Review 3.  Transcriptional enhancers: from properties to genome-wide predictions.

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Review 4.  bHLH factors in self-renewal, multipotency, and fate choice of neural progenitor cells.

Authors:  Itaru Imayoshi; Ryoichiro Kageyama
Journal:  Neuron       Date:  2014-04-02       Impact factor: 17.173

Review 5.  Combinatorial control of cell fate and reprogramming in the mammalian germline.

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Journal:  Curr Opin Genet Dev       Date:  2012-07-12       Impact factor: 5.578

Review 6.  From RNA-seq reads to differential expression results.

Authors:  Alicia Oshlack; Mark D Robinson; Matthew D Young
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7.  NeuroD1 regulation of migration accompanies the differential sensitivity of neuroendocrine carcinomas to TrkB inhibition.

Authors:  J K Osborne; J E Larsen; J X Gonzales; D S Shames; M Sato; I I Wistuba; L Girard; J D Minna; M H Cobb
Journal:  Oncogenesis       Date:  2013-08-19       Impact factor: 7.485

8.  QuasR: quantification and annotation of short reads in R.

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Journal:  Bioinformatics       Date:  2014-11-21       Impact factor: 6.937

9.  HTSeq--a Python framework to work with high-throughput sequencing data.

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10.  The UCSC Genome Browser database: 2014 update.

Authors:  Donna Karolchik; Galt P Barber; Jonathan Casper; Hiram Clawson; Melissa S Cline; Mark Diekhans; Timothy R Dreszer; Pauline A Fujita; Luvina Guruvadoo; Maximilian Haeussler; Rachel A Harte; Steve Heitner; Angie S Hinrichs; Katrina Learned; Brian T Lee; Chin H Li; Brian J Raney; Brooke Rhead; Kate R Rosenbloom; Cricket A Sloan; Matthew L Speir; Ann S Zweig; David Haussler; Robert M Kuhn; W James Kent
Journal:  Nucleic Acids Res       Date:  2013-11-21       Impact factor: 16.971

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  80 in total

1.  Putting chromatin in its place: the pioneer factor NeuroD1 modulates chromatin state to drive cell fate decisions.

Authors:  Alexander Glahs; Robert P Zinzen
Journal:  EMBO J       Date:  2015-11-13       Impact factor: 11.598

2.  NeuroD1 reprograms chromatin and transcription factor landscapes to induce the neuronal program.

Authors:  Abhijeet Pataskar; Johannes Jung; Pawel Smialowski; Florian Noack; Federico Calegari; Tobias Straub; Vijay K Tiwari
Journal:  EMBO J       Date:  2015-10-29       Impact factor: 11.598

3.  Computational challenges in modeling gene regulatory events.

Authors:  Abhijeet Pataskar; Vijay K Tiwari
Journal:  Transcription       Date:  2016-07-08

4.  OTX2 Activity at Distal Regulatory Elements Shapes the Chromatin Landscape of Group 3 Medulloblastoma.

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Journal:  Cancer Discov       Date:  2017-02-17       Impact factor: 39.397

5.  Epigenome profiling and editing of neocortical progenitor cells during development.

Authors:  Mareike Albert; Nereo Kalebic; Marta Florio; Naharajan Lakshmanaperumal; Christiane Haffner; Holger Brandl; Ian Henry; Wieland B Huttner
Journal:  EMBO J       Date:  2017-08-01       Impact factor: 11.598

6.  Npr2 null mutants show initial overshooting followed by reduction of spiral ganglion axon projections combined with near-normal cochleotopic projection.

Authors:  Hannes Schmidt; Bernd Fritzsch
Journal:  Cell Tissue Res       Date:  2019-06-14       Impact factor: 5.249

Review 7.  Pioneer transcription factors shape the epigenetic landscape.

Authors:  Alexandre Mayran; Jacques Drouin
Journal:  J Biol Chem       Date:  2018-03-05       Impact factor: 5.157

8.  Bcl-2 Overexpression Induces Neurite Outgrowth via the Bmp4/Tbx3/NeuroD1 Cascade in H19-7 Cells.

Authors:  Yun Young Lee; Hye-Jin Choi; So Young Lee; Shin-Young Park; Min-Jeong Kang; Jinil Han; Joong-Soo Han
Journal:  Cell Mol Neurobiol       Date:  2019-09-06       Impact factor: 5.046

Review 9.  Sequence and chromatin determinants of transcription factor binding and the establishment of cell type-specific binding patterns.

Authors:  Divyanshi Srivastava; Shaun Mahony
Journal:  Biochim Biophys Acta Gene Regul Mech       Date:  2019-10-19       Impact factor: 4.490

10.  Mapping Cellular Reprogramming via Pooled Overexpression Screens with Paired Fitness and Single-Cell RNA-Sequencing Readout.

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Journal:  Cell Syst       Date:  2018-11-14       Impact factor: 10.304

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