Literature DB >> 32747934

Alignment and quantification of ChIP-exo crosslinking patterns reveal the spatial organization of protein-DNA complexes.

Naomi Yamada1, Matthew J Rossi1, Nina Farrell1, B Franklin Pugh1, Shaun Mahony1.   

Abstract

The ChIP-exo assay precisely delineates protein-DNA crosslinking patterns by combining chromatin immunoprecipitation with 5' to 3' exonuclease digestion. Within a regulatory complex, the physical distance of a regulatory protein to DNA affects crosslinking efficiencies. Therefore, the spatial organization of a protein-DNA complex could potentially be inferred by analyzing how crosslinking signatures vary between its subunits. Here, we present a computational framework that aligns ChIP-exo crosslinking patterns from multiple proteins across a set of coordinately bound regulatory regions, and which detects and quantifies protein-DNA crosslinking events within the aligned profiles. By producing consistent measurements of protein-DNA crosslinking strengths across multiple proteins, our approach enables characterization of relative spatial organization within a regulatory complex. Applying our approach to collections of ChIP-exo data, we demonstrate that it can recover aspects of regulatory complex spatial organization at yeast ribosomal protein genes and yeast tRNA genes. We also demonstrate the ability to quantify changes in protein-DNA complex organization across conditions by applying our approach to analyze Drosophila Pol II transcriptional components. Our results suggest that principled analyses of ChIP-exo crosslinking patterns enable inference of spatial organization within protein-DNA complexes.
© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 32747934      PMCID: PMC7672471          DOI: 10.1093/nar/gkaa618

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


  38 in total

1.  Mapping the protein interaction network for TFIIB-related factor Brf1 in the RNA polymerase III preinitiation complex.

Authors:  Seok-Kooi Khoo; Chih-Chien Wu; Yu-Chun Lin; Jin-Cheng Lee; Hung-Ta Chen
Journal:  Mol Cell Biol       Date:  2013-11-25       Impact factor: 4.272

2.  Comprehensive genome-wide protein-DNA interactions detected at single-nucleotide resolution.

Authors:  Ho Sung Rhee; B Franklin Pugh
Journal:  Cell       Date:  2011-12-09       Impact factor: 41.582

3.  A suppressor of mutations in the class III transcription system encodes a component of yeast TFIIIB.

Authors:  J Rüth; C Conesa; G Dieci; O Lefebvre; A Düsterhöft; S Ottonello; A Sentenac
Journal:  EMBO J       Date:  1996-04-15       Impact factor: 11.598

4.  Genomic redistribution of GR monomers and dimers mediates transcriptional response to exogenous glucocorticoid in vivo.

Authors:  Hee-Woong Lim; N Henriette Uhlenhaut; Alexander Rauch; Juliane Weiner; Sabine Hübner; Norbert Hübner; Kyoung-Jae Won; Mitchell A Lazar; Jan Tuckermann; David J Steger
Journal:  Genome Res       Date:  2015-05-08       Impact factor: 9.043

5.  ChIP-exo signal associated with DNA-binding motifs provides insight into the genomic binding of the glucocorticoid receptor and cooperating transcription factors.

Authors:  Stephan R Starick; Jonas Ibn-Salem; Marcel Jurk; Céline Hernandez; Michael I Love; Ho-Ryun Chung; Martin Vingron; Morgane Thomas-Chollier; Sebastiaan H Meijsing
Journal:  Genome Res       Date:  2015-02-26       Impact factor: 9.043

6.  Two distinct promoter architectures centered on dynamic nucleosomes control ribosomal protein gene transcription.

Authors:  Britta Knight; Slawomir Kubik; Bhaswar Ghosh; Maria Jessica Bruzzone; Marcel Geertz; Victoria Martin; Nicolas Dénervaud; Philippe Jacquet; Burak Ozkan; Jacques Rougemont; Sebastian J Maerkl; Félix Naef; David Shore
Journal:  Genes Dev       Date:  2014-08-01       Impact factor: 11.361

7.  Widespread and precise reprogramming of yeast protein-genome interactions in response to heat shock.

Authors:  Vinesh Vinayachandran; Rohit Reja; Matthew J Rossi; Bongsoo Park; Lila Rieber; Chitvan Mittal; Shaun Mahony; B Franklin Pugh
Journal:  Genome Res       Date:  2018-02-14       Impact factor: 9.043

8.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

9.  Determination and inference of eukaryotic transcription factor sequence specificity.

Authors:  Matthew T Weirauch; Ally Yang; Mihai Albu; Atina G Cote; Alejandro Montenegro-Montero; Philipp Drewe; Hamed S Najafabadi; Samuel A Lambert; Ishminder Mann; Kate Cook; Hong Zheng; Alejandra Goity; Harm van Bakel; Jean-Claude Lozano; Mary Galli; Mathew G Lewsey; Eryong Huang; Tuhin Mukherjee; Xiaoting Chen; John S Reece-Hoyes; Sridhar Govindarajan; Gad Shaulsky; Albertha J M Walhout; François-Yves Bouget; Gunnar Ratsch; Luis F Larrondo; Joseph R Ecker; Timothy R Hughes
Journal:  Cell       Date:  2014-09-11       Impact factor: 41.582

10.  Simplified ChIP-exo assays.

Authors:  Matthew J Rossi; William K M Lai; B Franklin Pugh
Journal:  Nat Commun       Date:  2018-07-20       Impact factor: 14.919

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.