Literature DB >> 34650237

The dynamic, combinatorial cis-regulatory lexicon of epidermal differentiation.

Daniel S Kim1,2, Viviana I Risca3, David L Reynolds1, James Chappell4, Adam J Rubin5, Namyoung Jung1, Laura K H Donohue1,4, Vanessa Lopez-Pajares1, Arwa Kathiria4, Minyi Shi4, Zhixin Zhao4, Harsh Deep6, Mahfuza Sharmin4, Deepti Rao1, Shin Lin7, Howard Y Chang1,4,8,9, Michael P Snyder4, William J Greenleaf10,11,12, Anshul Kundaje13,14,15, Paul A Khavari16,17,18.   

Abstract

Transcription factors bind DNA sequence motif vocabularies in cis-regulatory elements (CREs) to modulate chromatin state and gene expression during cell state transitions. A quantitative understanding of how motif lexicons influence dynamic regulatory activity has been elusive due to the combinatorial nature of the cis-regulatory code. To address this, we undertook multiomic data profiling of chromatin and expression dynamics across epidermal differentiation to identify 40,103 dynamic CREs associated with 3,609 dynamically expressed genes, then applied an interpretable deep-learning framework to model the cis-regulatory logic of chromatin accessibility. This analysis framework identified cooperative DNA sequence rules in dynamic CREs regulating synchronous gene modules with diverse roles in skin differentiation. Massively parallel reporter assay analysis validated temporal dynamics and cooperative cis-regulatory logic. Variants linked to human polygenic skin disease were enriched in these time-dependent combinatorial motif rules. This integrative approach shows the combinatorial cis-regulatory lexicon of epidermal differentiation and represents a general framework for deciphering the organizational principles of the cis-regulatory code of dynamic gene regulation.
© 2021. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.

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Year:  2021        PMID: 34650237      PMCID: PMC8763320          DOI: 10.1038/s41588-021-00947-3

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  66 in total

1.  p63 regulates proliferation and differentiation of developmentally mature keratinocytes.

Authors:  Amy B Truong; Markus Kretz; Todd W Ridky; Robin Kimmel; Paul A Khavari
Journal:  Genes Dev       Date:  2006-11-15       Impact factor: 11.361

Review 2.  Genetic pathways in disorders of epidermal differentiation.

Authors:  Vanessa Lopez-Pajares; Karen Yan; Brian J Zarnegar; Katherine L Jameson; Paul A Khavari
Journal:  Trends Genet       Date:  2012-11-08       Impact factor: 11.639

Review 3.  Transcription factors: from enhancer binding to developmental control.

Authors:  François Spitz; Eileen E M Furlong
Journal:  Nat Rev Genet       Date:  2012-08-07       Impact factor: 53.242

4.  Lineage-specific dynamic and pre-established enhancer-promoter contacts cooperate in terminal differentiation.

Authors:  Adam J Rubin; Brook C Barajas; Mayra Furlan-Magaril; Vanessa Lopez-Pajares; Maxwell R Mumbach; Imani Howard; Daniel S Kim; Lisa D Boxer; Jonathan Cairns; Mikhail Spivakov; Steven W Wingett; Minyi Shi; Zhixin Zhao; William J Greenleaf; Anshul Kundaje; Michael Snyder; Howard Y Chang; Peter Fraser; Paul A Khavari
Journal:  Nat Genet       Date:  2017-08-14       Impact factor: 38.330

Review 5.  In pursuit of design principles of regulatory sequences.

Authors:  Michal Levo; Eran Segal
Journal:  Nat Rev Genet       Date:  2014-06-10       Impact factor: 53.242

6.  Expression of a beta-globin gene is enhanced by remote SV40 DNA sequences.

Authors:  J Banerji; S Rusconi; W Schaffner
Journal:  Cell       Date:  1981-12       Impact factor: 41.582

7.  Transcriptional enhancers in animal development and evolution.

Authors:  Mike Levine
Journal:  Curr Biol       Date:  2010-09-14       Impact factor: 10.834

Review 8.  Combinatorial function of transcription factors and cofactors.

Authors:  Franziska Reiter; Sebastian Wienerroither; Alexander Stark
Journal:  Curr Opin Genet Dev       Date:  2017-01-19       Impact factor: 4.665

9.  The eve stripe 2 enhancer employs multiple modes of transcriptional synergy.

Authors:  D N Arnosti; S Barolo; M Levine; S Small
Journal:  Development       Date:  1996-01       Impact factor: 6.868

10.  Integrative analysis of 111 reference human epigenomes.

Authors:  Anshul Kundaje; Wouter Meuleman; Jason Ernst; Misha Bilenky; Angela Yen; Alireza Heravi-Moussavi; Pouya Kheradpour; Zhizhuo Zhang; Jianrong Wang; Michael J Ziller; Viren Amin; John W Whitaker; Matthew D Schultz; Lucas D Ward; Abhishek Sarkar; Gerald Quon; Richard S Sandstrom; Matthew L Eaton; Yi-Chieh Wu; Andreas R Pfenning; Xinchen Wang; Melina Claussnitzer; Yaping Liu; Cristian Coarfa; R Alan Harris; Noam Shoresh; Charles B Epstein; Elizabeta Gjoneska; Danny Leung; Wei Xie; R David Hawkins; Ryan Lister; Chibo Hong; Philippe Gascard; Andrew J Mungall; Richard Moore; Eric Chuah; Angela Tam; Theresa K Canfield; R Scott Hansen; Rajinder Kaul; Peter J Sabo; Mukul S Bansal; Annaick Carles; Jesse R Dixon; Kai-How Farh; Soheil Feizi; Rosa Karlic; Ah-Ram Kim; Ashwinikumar Kulkarni; Daofeng Li; Rebecca Lowdon; GiNell Elliott; Tim R Mercer; Shane J Neph; Vitor Onuchic; Paz Polak; Nisha Rajagopal; Pradipta Ray; Richard C Sallari; Kyle T Siebenthall; Nicholas A Sinnott-Armstrong; Michael Stevens; Robert E Thurman; Jie Wu; Bo Zhang; Xin Zhou; Arthur E Beaudet; Laurie A Boyer; Philip L De Jager; Peggy J Farnham; Susan J Fisher; David Haussler; Steven J M Jones; Wei Li; Marco A Marra; Michael T McManus; Shamil Sunyaev; James A Thomson; Thea D Tlsty; Li-Huei Tsai; Wei Wang; Robert A Waterland; Michael Q Zhang; Lisa H Chadwick; Bradley E Bernstein; Joseph F Costello; Joseph R Ecker; Martin Hirst; Alexander Meissner; Aleksandar Milosavljevic; Bing Ren; John A Stamatoyannopoulos; Ting Wang; Manolis Kellis
Journal:  Nature       Date:  2015-02-19       Impact factor: 69.504

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  4 in total

Review 1.  Obtaining genetics insights from deep learning via explainable artificial intelligence.

Authors:  Gherman Novakovsky; Nick Dexter; Maxwell W Libbrecht; Wyeth W Wasserman; Sara Mostafavi
Journal:  Nat Rev Genet       Date:  2022-10-03       Impact factor: 59.581

2.  Film and Video Quality Optimization Using Attention Mechanism-Embedded Lightweight Neural Network Model.

Authors:  Youwen Ma
Journal:  Comput Intell Neurosci       Date:  2022-06-08

3.  DeepSTARR predicts enhancer activity from DNA sequence and enables the de novo design of synthetic enhancers.

Authors:  Bernardo P de Almeida; Franziska Reiter; Michaela Pagani; Alexander Stark
Journal:  Nat Genet       Date:  2022-05-12       Impact factor: 41.307

4.  Cloning of the Human MORG1 Promoter: Differential Regulation by Hypoxia and Prolyl-Hydroxylase Inhibitors.

Authors:  Tzvetanka Bondeva; Gunter Wolf
Journal:  Genes (Basel)       Date:  2022-02-25       Impact factor: 4.096

  4 in total

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