Literature DB >> 25843630

Deconvolving the recognition of DNA shape from sequence.

Namiko Abe1, Iris Dror2, Lin Yang3, Matthew Slattery4, Tianyin Zhou3, Harmen J Bussemaker5, Remo Rohs6, Richard S Mann7.   

Abstract

Protein-DNA binding is mediated by the recognition of the chemical signatures of the DNA bases and the 3D shape of the DNA molecule. Because DNA shape is a consequence of sequence, it is difficult to dissociate these modes of recognition. Here, we tease them apart in the context of Hox-DNA binding by mutating residues that, in a co-crystal structure, only recognize DNA shape. Complexes made with these mutants lose the preference to bind sequences with specific DNA shape features. Introducing shape-recognizing residues from one Hox protein to another swapped binding specificities in vitro and gene regulation in vivo. Statistical machine learning revealed that the accuracy of binding specificity predictions improves by adding shape features to a model that only depends on sequence, and feature selection identified shape features important for recognition. Thus, shape readout is a direct and independent component of binding site selection by Hox proteins.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 25843630      PMCID: PMC4422406          DOI: 10.1016/j.cell.2015.02.008

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  29 in total

1.  SELEX-seq: a method for characterizing the complete repertoire of binding site preferences for transcription factor complexes.

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Journal:  Methods Mol Biol       Date:  2014

2.  DNA-binding specificities of human transcription factors.

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Journal:  Cell       Date:  2013-01-17       Impact factor: 41.582

Review 3.  Absence of a simple code: how transcription factors read the genome.

Authors:  Matthew Slattery; Tianyin Zhou; Lin Yang; Ana Carolina Dantas Machado; Raluca Gordân; Remo Rohs
Journal:  Trends Biochem Sci       Date:  2014-08-14       Impact factor: 13.807

4.  Mechanism of origin DNA recognition and assembly of an initiator-helicase complex by SV40 large tumor antigen.

Authors:  Y Paul Chang; Meng Xu; Ana Carolina Dantas Machado; Xian Jessica Yu; Remo Rohs; Xiaojiang S Chen
Journal:  Cell Rep       Date:  2013-03-28       Impact factor: 9.423

5.  Coregulation of transcription factor binding and nucleosome occupancy through DNA features of mammalian enhancers.

Authors:  Iros Barozzi; Marta Simonatto; Silvia Bonifacio; Lin Yang; Remo Rohs; Serena Ghisletti; Gioacchino Natoli
Journal:  Mol Cell       Date:  2014-05-08       Impact factor: 17.970

6.  Evaluation of methods for modeling transcription factor sequence specificity.

Authors:  Matthew T Weirauch; Atina Cote; Raquel Norel; Matti Annala; Yue Zhao; Todd R Riley; Julio Saez-Rodriguez; Thomas Cokelaer; Anastasia Vedenko; Shaheynoor Talukder; Harmen J Bussemaker; Quaid D Morris; Martha L Bulyk; Gustavo Stolovitzky; Timothy R Hughes
Journal:  Nat Biotechnol       Date:  2013-01-27       Impact factor: 54.908

7.  Genomic regions flanking E-box binding sites influence DNA binding specificity of bHLH transcription factors through DNA shape.

Authors:  Raluca Gordân; Ning Shen; Iris Dror; Tianyin Zhou; John Horton; Remo Rohs; Martha L Bulyk
Journal:  Cell Rep       Date:  2013-04-04       Impact factor: 9.423

8.  Covariation between homeodomain transcription factors and the shape of their DNA binding sites.

Authors:  Iris Dror; Tianyin Zhou; Yael Mandel-Gutfreund; Remo Rohs
Journal:  Nucleic Acids Res       Date:  2013-09-27       Impact factor: 16.971

9.  DNAshape: a method for the high-throughput prediction of DNA structural features on a genomic scale.

Authors:  Tianyin Zhou; Lin Yang; Yan Lu; Iris Dror; Ana Carolina Dantas Machado; Tahereh Ghane; Rosa Di Felice; Remo Rohs
Journal:  Nucleic Acids Res       Date:  2013-05-22       Impact factor: 16.971

10.  TFBSshape: a motif database for DNA shape features of transcription factor binding sites.

Authors:  Lin Yang; Tianyin Zhou; Iris Dror; Anthony Mathelier; Wyeth W Wasserman; Raluca Gordân; Remo Rohs
Journal:  Nucleic Acids Res       Date:  2013-11-07       Impact factor: 16.971

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  92 in total

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Journal:  Biochim Biophys Acta Gen Subj       Date:  2017-08-01       Impact factor: 3.770

Review 2.  Coming to terms with chromatin structure.

Authors:  Liron Even-Faitelson; Vahideh Hassan-Zadeh; Zahra Baghestani; David P Bazett-Jones
Journal:  Chromosoma       Date:  2015-07-30       Impact factor: 4.316

3.  Plasticity in Repressor-DNA Interactions Neutralizes Loss of Symmetry in Bipartite Operators.

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Journal:  J Biol Chem       Date:  2015-10-28       Impact factor: 5.157

4.  Catalytic-Independent Functions of PARP-1 Determine Sox2 Pioneer Activity at Intractable Genomic Loci.

Authors:  Ziying Liu; W Lee Kraus
Journal:  Mol Cell       Date:  2017-02-16       Impact factor: 17.970

5.  Quantum annealing versus classical machine learning applied to a simplified computational biology problem.

Authors:  Richard Y Li; Rosa Di Felice; Remo Rohs; Daniel A Lidar
Journal:  npj Quantum Inf       Date:  2018-02-21       Impact factor: 7.385

6.  Identification of Human Lineage-Specific Transcriptional Coregulators Enabled by a Glossary of Binding Modules and Tunable Genomic Backgrounds.

Authors:  Luca Mariani; Kathryn Weinand; Anastasia Vedenko; Luis A Barrera; Martha L Bulyk
Journal:  Cell Syst       Date:  2017-09-27       Impact factor: 10.304

7.  Exposing the secrets of sex determination.

Authors:  Remo Rohs; Ana Carolina Dantas Machado; Lin Yang
Journal:  Nat Struct Mol Biol       Date:  2015-06       Impact factor: 15.369

8.  Co-SELECT reveals sequence non-specific contribution of DNA shape to transcription factor binding in vitro.

Authors:  Soumitra Pal; Jan Hoinka; Teresa M Przytycka
Journal:  Nucleic Acids Res       Date:  2019-07-26       Impact factor: 16.971

9.  Experimental maps of DNA structure at nucleotide resolution distinguish intrinsic from protein-induced DNA deformations.

Authors:  Robert N Azad; Dana Zafiropoulos; Douglas Ober; Yining Jiang; Tsu-Pei Chiu; Jared M Sagendorf; Remo Rohs; Thomas D Tullius
Journal:  Nucleic Acids Res       Date:  2018-03-16       Impact factor: 16.971

10.  Prediction of regulatory motifs from human Chip-sequencing data using a deep learning framework.

Authors:  Jinyu Yang; Anjun Ma; Adam D Hoppe; Cankun Wang; Yang Li; Chi Zhang; Yan Wang; Bingqiang Liu; Qin Ma
Journal:  Nucleic Acids Res       Date:  2019-09-05       Impact factor: 16.971

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