Literature DB >> 29361190

Conserved and species-specific transcription factor co-binding patterns drive divergent gene regulation in human and mouse.

Adam G Diehl1, Alan P Boyle1,2.   

Abstract

The mouse is widely used as system to study human genetic mechanisms. However, extensive rewiring of transcriptional regulatory networks often confounds translation of findings between human and mouse. Site-specific gain and loss of individual transcription factor binding sites (TFBS) has caused functional divergence of orthologous regulatory loci, and so we must look beyond this positional conservation to understand common themes of regulatory control. Fortunately, transcription factor co-binding patterns shared across species often perform conserved regulatory functions. These can be compared to 'regulatory sentences' that retain the same meanings regardless of sequence and species context. By analyzing TFBS co-occupancy patterns observed in four human and mouse cell types, we learned a regulatory grammar: the rules by which TFBS are combined into meaningful regulatory sentences. Different parts of this grammar associate with specific sets of functional annotations regardless of sequence conservation and predict functional signatures more accurately than positional conservation. We further show that both species-specific and conserved portions of this grammar are involved in gene expression divergence and human disease risk. These findings expand our understanding of transcriptional regulatory mechanisms, suggesting that phenotypic divergence and disease risk are driven by a complex interplay between deeply conserved and species-specific transcriptional regulatory pathways.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 29361190      PMCID: PMC5829737          DOI: 10.1093/nar/gky018

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  62 in total

Review 1.  The evolutionary significance of cis-regulatory mutations.

Authors:  Gregory A Wray
Journal:  Nat Rev Genet       Date:  2007-03       Impact factor: 53.242

Review 2.  The locus of evolution: evo devo and the genetics of adaptation.

Authors:  Hopi E Hoekstra; Jerry A Coyne
Journal:  Evolution       Date:  2007-05       Impact factor: 3.694

3.  Near-optimal probabilistic RNA-seq quantification.

Authors:  Nicolas L Bray; Harold Pimentel; Páll Melsted; Lior Pachter
Journal:  Nat Biotechnol       Date:  2016-04-04       Impact factor: 54.908

Review 4.  Emerging properties of animal gene regulatory networks.

Authors:  Eric H Davidson
Journal:  Nature       Date:  2010-12-16       Impact factor: 49.962

5.  HOT regions function as patterned developmental enhancers and have a distinct cis-regulatory signature.

Authors:  Evgeny Z Kvon; Gerald Stampfel; J Omar Yáñez-Cuna; Barry J Dickson; Alexander Stark
Journal:  Genes Dev       Date:  2012-04-12       Impact factor: 11.361

6.  A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping.

Authors:  Suhas S P Rao; Miriam H Huntley; Neva C Durand; Elena K Stamenova; Ivan D Bochkov; James T Robinson; Adrian L Sanborn; Ido Machol; Arina D Omer; Eric S Lander; Erez Lieberman Aiden
Journal:  Cell       Date:  2014-12-11       Impact factor: 41.582

7.  ChIP-Enrich: gene set enrichment testing for ChIP-seq data.

Authors:  Ryan P Welch; Chee Lee; Paul M Imbriano; Snehal Patil; Terry E Weymouth; R Alex Smith; Laura J Scott; Maureen A Sartor
Journal:  Nucleic Acids Res       Date:  2014-05-30       Impact factor: 16.971

8.  Architecture of the human regulatory network derived from ENCODE data.

Authors:  Mark B Gerstein; Anshul Kundaje; Manoj Hariharan; Stephen G Landt; Koon-Kiu Yan; Chao Cheng; Xinmeng Jasmine Mu; Ekta Khurana; Joel Rozowsky; Roger Alexander; Renqiang Min; Pedro Alves; Alexej Abyzov; Nick Addleman; Nitin Bhardwaj; Alan P Boyle; Philip Cayting; Alexandra Charos; David Z Chen; Yong Cheng; Declan Clarke; Catharine Eastman; Ghia Euskirchen; Seth Frietze; Yao Fu; Jason Gertz; Fabian Grubert; Arif Harmanci; Preti Jain; Maya Kasowski; Phil Lacroute; Jing Jane Leng; Jin Lian; Hannah Monahan; Henriette O'Geen; Zhengqing Ouyang; E Christopher Partridge; Dorrelyn Patacsil; Florencia Pauli; Debasish Raha; Lucia Ramirez; Timothy E Reddy; Brian Reed; Minyi Shi; Teri Slifer; Jing Wang; Linfeng Wu; Xinqiong Yang; Kevin Y Yip; Gili Zilberman-Schapira; Serafim Batzoglou; Arend Sidow; Peggy J Farnham; Richard M Myers; Sherman M Weissman; Michael Snyder
Journal:  Nature       Date:  2012-09-06       Impact factor: 49.962

9.  Chromatin variation associated with liver metabolism is mediated by transposable elements.

Authors:  Juan Du; Amy Leung; Candi Trac; Michael Lee; Brian W Parks; Aldons J Lusis; Rama Natarajan; Dustin E Schones
Journal:  Epigenetics Chromatin       Date:  2016-07-08       Impact factor: 4.954

10.  ENCODE whole-genome data in the UCSC Genome Browser.

Authors:  Kate R Rosenbloom; Timothy R Dreszer; Michael Pheasant; Galt P Barber; Laurence R Meyer; Andy Pohl; Brian J Raney; Ting Wang; Angie S Hinrichs; Ann S Zweig; Pauline A Fujita; Katrina Learned; Brooke Rhead; Kayla E Smith; Robert M Kuhn; Donna Karolchik; David Haussler; W James Kent
Journal:  Nucleic Acids Res       Date:  2009-11-17       Impact factor: 16.971

View more
  2 in total

1.  CGIMP: Real-time exploration and covariate projection for self-organizing map datasets.

Authors:  Adam G Diehl; Alan P Boyle
Journal:  J Open Source Softw       Date:  2019-07-10

2.  Transposable elements contribute to cell and species-specific chromatin looping and gene regulation in mammalian genomes.

Authors:  Adam G Diehl; Ningxin Ouyang; Alan P Boyle
Journal:  Nat Commun       Date:  2020-04-14       Impact factor: 14.919

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.