Literature DB >> 31887344

Enhancer jungles establish robust tissue-specific regulatory control in the human genome.

Shan Li1, Ivan Ovcharenko2.   

Abstract

An increasing number of studies suggest that functionally redundant enhancers safeguard development via buffering gene expression against environmental and genetic perturbations. Here, we identified over-represented clusters of enhancers (enhancer jungles or EJs) in human B lymphoblastoid cells. We found that EJs tend to associate with genes involved in the activation of the immune system response. Although spanning multiple genes, the enhancers within an EJ tend to collaborate with each other on regulating a single gene. The employment of homotypic transcription factor binding sites (TFBSs) in EJ enhancers and heterotypic TFBSs between constituent enhancers within an EJ may safeguard a robust transcriptional output of the target gene. EJ enhancers evolve under a weaker selective pressure compared to regular enhancers (REs), and approximately 35% of EJs do not have orthologues in the mouse genome. In GM12878, these human-specific EJs appear to regulate genes associated with the adaptive immune system response, while the conserved EJs are associated with innate immunity. Recently acquired human EJs are associated with the higher level of target gene expression compared with conserved EJs, thus facilitating the environmental adaptation of the organism during evolution. In short, the existence of EJs is a common regulatory architecture conferring a robust regulatory control for key lineage genes. Published by Elsevier Inc.

Entities:  

Keywords:  Activation of immune system response; Enhancer redundancy; Gene regulation; Human adaptation during evolution

Mesh:

Year:  2019        PMID: 31887344      PMCID: PMC7082202          DOI: 10.1016/j.ygeno.2019.12.022

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  49 in total

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Authors:  M Ashburner; C A Ball; J A Blake; D Botstein; H Butler; J M Cherry; A P Davis; K Dolinski; S S Dwight; J T Eppig; M A Harris; D P Hill; L Issel-Tarver; A Kasarskis; S Lewis; J C Matese; J E Richardson; M Ringwald; G M Rubin; G Sherlock
Journal:  Nat Genet       Date:  2000-05       Impact factor: 38.330

2.  Scanning human gene deserts for long-range enhancers.

Authors:  Marcelo A Nobrega; Ivan Ovcharenko; Veena Afzal; Edward M Rubin
Journal:  Science       Date:  2003-10-17       Impact factor: 47.728

3.  Regulation of B lymphocyte and macrophage development by graded expression of PU.1.

Authors:  R P DeKoter; H Singh
Journal:  Science       Date:  2000-05-26       Impact factor: 47.728

4.  The transcription factor NF-ATc1 regulates lymphocyte proliferation and Th2 cytokine production.

Authors:  H Yoshida; H Nishina; H Takimoto; L E Marengère; A C Wakeham; D Bouchard; Y Y Kong; T Ohteki; A Shahinian; M Bachmann; P S Ohashi; J M Penninger; G R Crabtree; T W Mak
Journal:  Immunity       Date:  1998-01       Impact factor: 31.745

Review 5.  Enhancer function: new insights into the regulation of tissue-specific gene expression.

Authors:  Chin-Tong Ong; Victor G Corces
Journal:  Nat Rev Genet       Date:  2011-03-01       Impact factor: 53.242

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.  The Genotype-Tissue Expression (GTEx) project.

Authors: 
Journal:  Nat Genet       Date:  2013-06       Impact factor: 38.330

8.  Transcription factor EBF1 is essential for the maintenance of B cell identity and prevention of alternative fates in committed cells.

Authors:  Robert Nechanitzky; Duygu Akbas; Stefanie Scherer; Ildiko Györy; Thomas Hoyler; Senthilkumar Ramamoorthy; Andreas Diefenbach; Rudolf Grosschedl
Journal:  Nat Immunol       Date:  2013-06-30       Impact factor: 25.606

9.  Hi-Corrector: a fast, scalable and memory-efficient package for normalizing large-scale Hi-C data.

Authors:  Wenyuan Li; Ke Gong; Qingjiao Li; Frank Alber; Xianghong Jasmine Zhou
Journal:  Bioinformatics       Date:  2014-11-12       Impact factor: 6.937

Review 10.  Toll-like receptor signaling pathways.

Authors:  Takumi Kawasaki; Taro Kawai
Journal:  Front Immunol       Date:  2014-09-25       Impact factor: 7.561

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