Literature DB >> 28349863

Structural perspective of cooperative transcription factor binding.

Ekaterina Morgunova1, Jussi Taipale2.   

Abstract

In prokaryotes, individual transcription factors (TFs) can recognize long DNA motifs that are alone sufficient to define the genes that they induce or repress. In contrast, in higher organisms that have larger genomes, TFs recognize sequences that are too short to define unique genomic positions. In addition, development of multicellular organisms requires molecular systems that are capable of executing combinatorial logical operations. Co-operative recognition of DNA by multiple TFs allows both definition of unique genomic positions in large genomes, and complex information processing at the level of individual regulatory elements. The TFs can co-operate in multiple different ways, and the precise mechanism used for co-operation determines important features of the regulatory interactions. Here, we present an overview of the structural basis of the different mechanisms by which TFs can cooperate, focusing on insight from recent functional studies and structural analyses of specific TF-TF-DNA complexes.
Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

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Year:  2017        PMID: 28349863     DOI: 10.1016/j.sbi.2017.03.006

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  55 in total

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2.  Nucleosome allostery in pioneer transcription factor binding.

Authors:  Cheng Tan; Shoji Takada
Journal:  Proc Natl Acad Sci U S A       Date:  2020-08-10       Impact factor: 11.205

Review 3.  Sequence and chromatin determinants of transcription factor binding and the establishment of cell type-specific binding patterns.

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Journal:  Biochim Biophys Acta Gene Regul Mech       Date:  2019-10-19       Impact factor: 4.490

4.  Context-Dependent Gene Regulation by Homeodomain Transcription Factor Complexes Revealed by Shape-Readout Deficient Proteins.

Authors:  Judith F Kribelbauer; Ryan E Loker; Siqian Feng; Chaitanya Rastogi; Namiko Abe; H Tomas Rube; Harmen J Bussemaker; Richard S Mann
Journal:  Mol Cell       Date:  2020-02-12       Impact factor: 17.970

5.  Enhancer Features that Drive Formation of Transcriptional Condensates.

Authors:  Krishna Shrinivas; Benjamin R Sabari; Eliot L Coffey; Isaac A Klein; Ann Boija; Alicia V Zamudio; Jurian Schuijers; Nancy M Hannett; Phillip A Sharp; Richard A Young; Arup K Chakraborty
Journal:  Mol Cell       Date:  2019-08-08       Impact factor: 17.970

Review 6.  Chromatin reprogramming in breast cancer.

Authors:  Erin E Swinstead; Ville Paakinaho; Gordon L Hager
Journal:  Endocr Relat Cancer       Date:  2018-04-24       Impact factor: 5.678

7.  Molecular Co-occupancy Identifies Transcription Factor Binding Cooperativity In Vivo.

Authors:  Can Sönmezer; Rozemarijn Kleinendorst; Dilek Imanci; Guido Barzaghi; Laura Villacorta; Dirk Schübeler; Vladimir Benes; Nacho Molina; Arnaud Regis Krebs
Journal:  Mol Cell       Date:  2020-12-07       Impact factor: 17.970

8.  Cooperative binding between distant transcription factors is a hallmark of active enhancers.

Authors:  Satyanarayan Rao; Kami Ahmad; Srinivas Ramachandran
Journal:  Mol Cell       Date:  2021-03-10       Impact factor: 17.970

9.  Deep neural networks identify sequence context features predictive of transcription factor binding.

Authors:  An Zheng; Michael Lamkin; Hanqing Zhao; Cynthia Wu; Hao Su; Melissa Gymrek
Journal:  Nat Mach Intell       Date:  2021-01-18

10.  GABPα and CREB1 Binding to Double Nucleotide Polymorphisms of Their Consensus Motifs and Cooperative Binding to the Composite ETS ⇔ CRE Motif (ACCGGAAGTGACGTCA).

Authors:  Nima Assad; Desiree Tillo; Sreejana Ray; Alexa Dzienny; Peter C FitzGerald; Charles Vinson
Journal:  ACS Omega       Date:  2019-06-06
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