A simple method for generating high-resolution maps of genome-wide protein binding

Chromatin immunoprecipitation (ChIP) and its derivatives are the main techniques used to determine transcription factor binding sites. However, conventional ChIP with sequencing (ChIP-seq) has problems with poor resolution, and newer techniques require significant experimental alterations and comple...

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Main Authors: Peter J Skene, Steven Henikoff
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2015-06-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/09225
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spelling doaj-7823d22a4ff44a91b9bfcc6ea7bca3d72021-05-04T23:51:28ZengeLife Sciences Publications LtdeLife2050-084X2015-06-01410.7554/eLife.09225A simple method for generating high-resolution maps of genome-wide protein bindingPeter J Skene0Steven Henikoff1Fred Hutchinson Cancer Research Center, Seattle, United StatesFred Hutchinson Cancer Research Center, Seattle, United States; Howard Hughes Medical Institute, Fred Hutchinson Cancer Research Center, Seattle, United StatesChromatin immunoprecipitation (ChIP) and its derivatives are the main techniques used to determine transcription factor binding sites. However, conventional ChIP with sequencing (ChIP-seq) has problems with poor resolution, and newer techniques require significant experimental alterations and complex bioinformatics. Previously, we have used a new crosslinking ChIP-seq protocol (X-ChIP-seq) to perform high-resolution mapping of RNA Polymerase II (Skene et al., 2014). Here, we build upon this work and compare X-ChIP-seq to existing methodologies. By using micrococcal nuclease, which has both endo- and exo-nuclease activity, to fragment the chromatin and thereby generate precise protein–DNA footprints, high-resolution X-ChIP-seq achieves single base-pair resolution of transcription factor binding. A significant advantage of this protocol is the minimal alteration to the conventional ChIP-seq workflow and simple bioinformatic processing.https://elifesciences.org/articles/09225transcription factorRNA polymerase IICTCF
collection DOAJ
language English
format Article
sources DOAJ
author Peter J Skene
Steven Henikoff
spellingShingle Peter J Skene
Steven Henikoff
A simple method for generating high-resolution maps of genome-wide protein binding
eLife
transcription factor
RNA polymerase II
CTCF
author_facet Peter J Skene
Steven Henikoff
author_sort Peter J Skene
title A simple method for generating high-resolution maps of genome-wide protein binding
title_short A simple method for generating high-resolution maps of genome-wide protein binding
title_full A simple method for generating high-resolution maps of genome-wide protein binding
title_fullStr A simple method for generating high-resolution maps of genome-wide protein binding
title_full_unstemmed A simple method for generating high-resolution maps of genome-wide protein binding
title_sort simple method for generating high-resolution maps of genome-wide protein binding
publisher eLife Sciences Publications Ltd
series eLife
issn 2050-084X
publishDate 2015-06-01
description Chromatin immunoprecipitation (ChIP) and its derivatives are the main techniques used to determine transcription factor binding sites. However, conventional ChIP with sequencing (ChIP-seq) has problems with poor resolution, and newer techniques require significant experimental alterations and complex bioinformatics. Previously, we have used a new crosslinking ChIP-seq protocol (X-ChIP-seq) to perform high-resolution mapping of RNA Polymerase II (Skene et al., 2014). Here, we build upon this work and compare X-ChIP-seq to existing methodologies. By using micrococcal nuclease, which has both endo- and exo-nuclease activity, to fragment the chromatin and thereby generate precise protein–DNA footprints, high-resolution X-ChIP-seq achieves single base-pair resolution of transcription factor binding. A significant advantage of this protocol is the minimal alteration to the conventional ChIP-seq workflow and simple bioinformatic processing.
topic transcription factor
RNA polymerase II
CTCF
url https://elifesciences.org/articles/09225
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