Literature DB >> 28978476

Quantitative Measurement and Thermodynamic Modeling of Fused Enhancers Support a Two-Tiered Mechanism for Interpreting Regulatory DNA.

Md Abul Hassan Samee1, Tara Lydiard-Martin2, Kelly M Biette2, Ben J Vincent2, Meghan D Bragdon2, Kelly B Eckenrode2, Zeba Wunderlich3, Javier Estrada2, Saurabh Sinha4, Angela H DePace5.   

Abstract

Computational models of enhancer function generally assume that transcription factors (TFs) exert their regulatory effects independently, modeling an enhancer as a "bag of sites." These models fail on endogenous loci that harbor multiple enhancers, and a "two-tier" model appears better suited: in each enhancer TFs work independently, and the total expression is a weighted sum of their expression readouts. Here, we test these two opposing views on how cis-regulatory information is integrated. We fused two Drosophila blastoderm enhancers, measured their readouts, and applied the above two models to these data. The two-tier mechanism better fits these readouts, suggesting that these fused enhancers comprise multiple independent modules, despite having sequence characteristics typical of single enhancers. We show that short-range TF-TF interactions are not sufficient to designate such modules, suggesting unknown underlying mechanisms. Our results underscore that mechanisms of how modules are defined and how their outputs are combined remain to be elucidated.
Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  bag of sites model; enhancer; enhancer-level model; fused enhancer; locus-level model; quenching model; thermodynamic model; two-tier model

Mesh:

Substances:

Year:  2017        PMID: 28978476      PMCID: PMC5690553          DOI: 10.1016/j.celrep.2017.09.033

Source DB:  PubMed          Journal:  Cell Rep            Impact factor:   9.423


  39 in total

1.  Regulatory element detection using correlation with expression.

Authors:  H J Bussemaker; H Li; E D Siggia
Journal:  Nat Genet       Date:  2001-02       Impact factor: 38.330

2.  Computational models for neurogenic gene expression in the Drosophila embryo.

Authors:  Robert P Zinzen; Kate Senger; Mike Levine; Dmitri Papatsenko
Journal:  Curr Biol       Date:  2006-06-06       Impact factor: 10.834

3.  Creating transgenic Drosophila by microinjecting the site-specific phiC31 integrase mRNA and a transgene-containing donor plasmid.

Authors:  Matthew P Fish; Amy C Groth; Michele P Calos; Roel Nusse
Journal:  Nat Protoc       Date:  2007       Impact factor: 13.491

4.  Spacing ensures autonomous expression of different stripe enhancers in the even-skipped promoter.

Authors:  S Small; D N Arnosti; M Levine
Journal:  Development       Date:  1993-11       Impact factor: 6.868

Review 5.  Enhancer elements.

Authors:  G Khoury; P Gruss
Journal:  Cell       Date:  1983-06       Impact factor: 41.582

6.  A self-organizing system of repressor gradients establishes segmental complexity in Drosophila.

Authors:  Dorothy E Clyde; Maria S G Corado; Xuelin Wu; Adam Paré; Dmitri Papatsenko; Stephen Small
Journal:  Nature       Date:  2003-12-18       Impact factor: 49.962

7.  REDfly v3.0: toward a comprehensive database of transcriptional regulatory elements in Drosophila.

Authors:  Steven M Gallo; Dave T Gerrard; David Miner; Michael Simich; Benjamin Des Soye; Casey M Bergman; Marc S Halfon
Journal:  Nucleic Acids Res       Date:  2010-10-21       Impact factor: 16.971

8.  Three-dimensional morphology and gene expression in the Drosophila blastoderm at cellular resolution I: data acquisition pipeline.

Authors:  Cris L Luengo Hendriks; Soile V E Keränen; Charless C Fowlkes; Lisa Simirenko; Gunther H Weber; Angela H DePace; Clara Henriquez; David W Kaszuba; Bernd Hamann; Michael B Eisen; Jitendra Malik; Damir Sudar; Mark D Biggin; David W Knowles
Journal:  Genome Biol       Date:  2006       Impact factor: 13.583

9.  Exploiting position effects and the gypsy retrovirus insulator to engineer precisely expressed transgenes.

Authors:  Michele Markstein; Chrysoula Pitsouli; Christians Villalta; Susan E Celniker; Norbert Perrimon
Journal:  Nat Genet       Date:  2008-03-02       Impact factor: 38.330

10.  Rearrangements of 2.5 kilobases of noncoding DNA from the Drosophila even-skipped locus define predictive rules of genomic cis-regulatory logic.

Authors:  Ah-Ram Kim; Carlos Martinez; John Ionides; Alexandre F Ramos; Michael Z Ludwig; Nobuo Ogawa; David H Sharp; John Reinitz
Journal:  PLoS Genet       Date:  2013-02-28       Impact factor: 5.917

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  7 in total

1.  Self-Similar Dynamics of Nuclear Packing in the Early Drosophila Embryo.

Authors:  Sayantan Dutta; Nareg J-V Djabrayan; Salvatore Torquato; Stanislav Y Shvartsman; Matej Krajnc
Journal:  Biophys J       Date:  2019-07-16       Impact factor: 4.033

2.  Deciphering enhancer sequence using thermodynamics-based models and convolutional neural networks.

Authors:  Payam Dibaeinia; Saurabh Sinha
Journal:  Nucleic Acids Res       Date:  2021-10-11       Impact factor: 16.971

3.  REDfly: the transcriptional regulatory element database for Drosophila.

Authors:  John Rivera; Soile V E Keränen; Steven M Gallo; Marc S Halfon
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

Review 4.  Predictive landscapes hidden beneath biological cellular automata.

Authors:  Lars Koopmans; Hyun Youk
Journal:  J Biol Phys       Date:  2021-11-05       Impact factor: 1.365

5.  Thermodynamics-based modeling reveals regulatory effects of indirect transcription factor-DNA binding.

Authors:  Shounak Bhogale; Saurabh Sinha
Journal:  iScience       Date:  2022-03-24

6.  Spatially varying cis-regulatory divergence in Drosophila embryos elucidates cis-regulatory logic.

Authors:  Peter A Combs; Hunter B Fraser
Journal:  PLoS Genet       Date:  2018-11-01       Impact factor: 5.917

Review 7.  Annotating the Insect Regulatory Genome.

Authors:  Hasiba Asma; Marc S Halfon
Journal:  Insects       Date:  2021-06-29       Impact factor: 2.769

  7 in total

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