An efficient targeted nuclease strategy for high-resolution mapping of DNA binding sites
Abstract
We describe Cleavage Under Targets and Release Using Nuclease (CUT&RUN), a chromatin profiling strategy in which antibody-targeted controlled cleavage by micrococcal nuclease releases specific protein-DNA complexes into the supernatant for paired-end DNA sequencing. Unlike Chromatin Immunoprecipitation (ChIP), which fragments and solubilizes total chromatin, CUT&RUN is performed in situ, allowing for both quantitative high-resolution chromatin mapping and probing of the local chromatin environment. When applied to yeast and human nuclei, CUT&RUN yielded precise transcription factor profiles while avoiding cross-linking and solubilization issues. CUT&RUN is simple to perform and is inherently robust, with extremely low backgrounds requiring only ~1/10th the sequencing depth as ChIP, making CUT&RUN especially cost-effective for transcription factor and chromatin profiling. When used in conjunction with native ChIP-seq and applied to human CTCF, CUT&RUN mapped long range contacts at high resolution. We conclude that in situ mapping of protein-DNA interactions by CUT&RUN is an attractive alternative to ChIP-seq.
Data availability
-
Cut-and-Run in situ factor profiling maps DNA binding and 3D contact sites at high resolutionPublicly available at the NCBI Gene Expression Omnibus (accession no: GSE84474).
-
High-resolution mapping of transcription factor binding sites on native chromatin.Publicly available at the NCBI Gene Expression Omnibus (accession no: GSE45672).
-
CTCF-Mediated Human 3D Genome Architecture Reveals Chromatin Topology for TranscriptionPublicly available at the NCBI Gene Expression Omnibus (accession no: GSE72816).
Article and author information
Author details
Funding
Howard Hughes Medical Institute (Henikoff)
- Peter J Skene
Howard Hughes Medical Institute (Henikoff)
- Steven Henikoff
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Reviewing Editor
- Danny Reinberg, Howard Hughes Medical Institute, New York University School of Medicine, United States
Version history
- Received: September 26, 2016
- Accepted: January 6, 2017
- Accepted Manuscript published: January 12, 2017 (version 1)
- Accepted Manuscript updated: January 16, 2017 (version 2)
- Version of Record published: February 15, 2017 (version 3)
Copyright
© 2017, Skene & Henikoff
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
Metrics
-
- 82,635
- Page views
-
- 11,840
- Downloads
-
- 804
- Citations
Article citation count generated by polling the highest count across the following sources: Crossref, Scopus, PubMed Central.
Download links
Downloads (link to download the article as PDF)
Open citations (links to open the citations from this article in various online reference manager services)
Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)
Further reading
-
- Chromosomes and Gene Expression
A new technique called CUT&RUN can map the distribution of proteins on the genome with higher resolution and accuracy than existing approaches.
-
- Chromosomes and Gene Expression
- Computational and Systems Biology
We herein introduce voyAGEr, an online graphical interface to explore age-related gene expression alterations in 49 human tissues. voyAGEr offers a visualisation and statistical toolkit for the finding and functional exploration of sex- and tissue-specific transcriptomic changes with age. In its conception, we developed a novel bioinformatics pipeline leveraging RNA sequencing data, from the GTEx project, encompassing more than 900 individuals. voyAGEr reveals transcriptomic signatures of the known asynchronous ageing between tissues, allowing the observation of tissue-specific age periods of major transcriptional changes, associated with alterations in different biological pathways, cellular composition, and disease conditions. Notably, voyAGEr was created to assist researchers with no expertise in bioinformatics, providing a supportive framework for elaborating, testing and refining their hypotheses on the molecular nature of human ageing and its association with pathologies, thereby also aiding in the discovery of novel therapeutic targets. voyAGEr is freely available at https://compbio.imm.medicina.ulisboa.pt/app/voyAGEr.