Literature DB >> 30688406

High-Resolution Chromatin Profiling Using CUT&RUN.

Sarah J Hainer1, Thomas G Fazzio2.   

Abstract

Determining the genomic location of DNA-binding proteins is essential to understanding their function. Cleavage Under Targets and Release Using Nuclease (CUT&RUN) is a powerful method for mapping protein-DNA interactions at high resolution. In CUT&RUN, a recombinant protein A-microccocal nuclease (pA-MN) fusion is recruited by an antibody targeting the chromatin protein of interest; this can be done with either uncrosslinked or formaldehyde-crosslinked cells. DNA fragments near sites of antibody binding are released from the insoluble bulk chromatin through endonucleolytic cleavage and used to build barcoded DNA-sequencing libraries that can be sequenced in pools of at least 30. Therefore, CUT&RUN provides an alternative to ChIP-seq approaches for mapping chromatin proteins, which typically have relatively high signal-to-noise ratios, while using fewer cells and at a lower cost. Here, we describe the methods for performing CUT&RUN, generating DNA-sequencing libraries, and analyzing the resulting datasets.
© 2019 by John Wiley & Sons, Inc. © 2019 John Wiley & Sons, Inc.

Entities:  

Keywords:  CUT&RUN; chromatin; protein A-micrococcal nuclease; transcription factor

Mesh:

Substances:

Year:  2019        PMID: 30688406      PMCID: PMC6422702          DOI: 10.1002/cpmb.85

Source DB:  PubMed          Journal:  Curr Protoc Mol Biol        ISSN: 1934-3647


  22 in total

1.  Micrococcal nuclease analysis of chromatin structure.

Authors:  Ken Zaret
Journal:  Curr Protoc Mol Biol       Date:  2005-02

2.  An ultra-low-input native ChIP-seq protocol for genome-wide profiling of rare cell populations.

Authors:  Julie Brind'Amour; Sheng Liu; Matthew Hudson; Carol Chen; Mohammad M Karimi; Matthew C Lorincz
Journal:  Nat Commun       Date:  2015-01-21       Impact factor: 14.919

3.  Mammalian Cell Tissue Culture Techniques.

Authors:  Katy Phelan; Kristin M May
Journal:  Curr Protoc Mol Biol       Date:  2017-01-05

4.  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

5.  ChIP bias as a function of cross-linking time.

Authors:  Laura Baranello; Fedor Kouzine; Suzanne Sanford; David Levens
Journal:  Chromosome Res       Date:  2015-12-21       Impact factor: 5.239

Review 6.  Identifying and mitigating bias in next-generation sequencing methods for chromatin biology.

Authors:  Clifford A Meyer; X Shirley Liu
Journal:  Nat Rev Genet       Date:  2014-09-16       Impact factor: 53.242

7.  Genome-wide mapping of in vivo protein-DNA interactions.

Authors:  David S Johnson; Ali Mortazavi; Richard M Myers; Barbara Wold
Journal:  Science       Date:  2007-05-31       Impact factor: 47.728

8.  An efficient targeted nuclease strategy for high-resolution mapping of DNA binding sites.

Authors:  Peter J Skene; Steven Henikoff
Journal:  Elife       Date:  2017-01-16       Impact factor: 8.140

9.  Automated in situ chromatin profiling efficiently resolves cell types and gene regulatory programs.

Authors:  Derek H Janssens; Steven J Wu; Jay F Sarthy; Michael P Meers; Carrie H Myers; James M Olson; Kami Ahmad; Steven Henikoff
Journal:  Epigenetics Chromatin       Date:  2018-12-21       Impact factor: 4.954

10.  A carrier-assisted ChIP-seq method for estrogen receptor-chromatin interactions from breast cancer core needle biopsy samples.

Authors:  Wilbert Zwart; Rutger Koornstra; Jelle Wesseling; Emiel Rutgers; Sabine Linn; Jason S Carroll
Journal:  BMC Genomics       Date:  2013-04-08       Impact factor: 3.969

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  25 in total

Review 1.  Transcription factor chromatin profiling genome-wide using uliCUT&RUN in single cells and individual blastocysts.

Authors:  Benjamin J Patty; Sarah J Hainer
Journal:  Nat Protoc       Date:  2021-04-28       Impact factor: 13.491

2.  An Activity-Mediated Transition in Transcription in Early Postnatal Neurons.

Authors:  Hume Stroud; Marty G Yang; Yael N Tsitohay; Christopher P Davis; Maxwell A Sherman; Sinisa Hrvatin; Emi Ling; Michael E Greenberg
Journal:  Neuron       Date:  2020-06-25       Impact factor: 17.173

3.  NSD2 dimethylation at H3K36 promotes lung adenocarcinoma pathogenesis.

Authors:  Deepanwita Sengupta; Liyong Zeng; Yumei Li; Simone Hausmann; Debopam Ghosh; Gang Yuan; Thuyen N Nguyen; Ruitu Lyu; Marcello Caporicci; Ana Morales Benitez; Garry L Coles; Vladlena Kharchenko; Iwona Czaban; Dulat Azhibek; Wolfgang Fischle; Mariusz Jaremko; Ignacio I Wistuba; Julien Sage; Łukasz Jaremko; Wei Li; Pawel K Mazur; Or Gozani
Journal:  Mol Cell       Date:  2021-09-22       Impact factor: 17.970

4.  Identification of chromatin states during zebrafish gastrulation using CUT&RUN and CUT&Tag.

Authors:  Bagdeser Akdogan-Ozdilek; Katherine L Duval; Fanju W Meng; Patrick J Murphy; Mary G Goll
Journal:  Dev Dyn       Date:  2021-10-23       Impact factor: 3.780

5.  Simultaneous profiling of multiple chromatin proteins in the same cells.

Authors:  Sneha Gopalan; Yuqing Wang; Nicholas W Harper; Manuel Garber; Thomas G Fazzio
Journal:  Mol Cell       Date:  2021-10-11       Impact factor: 17.970

6.  Tethered MNase Structure Probing as Versatile Technique for Analyzing RNPs Using Tagging Cassettes for Homologous Recombination in Saccharomyces cerevisiae.

Authors:  Fabian Teubl; Katrin Schwank; Uli Ohmayer; Joachim Griesenbeck; Herbert Tschochner; Philipp Milkereit
Journal:  Methods Mol Biol       Date:  2022

7.  Histone Acid Extraction and High Throughput Mass Spectrometry to Profile Histone Modifications in Arabidopsis thaliana.

Authors:  Ray Scheid; James A Dowell; Dean Sanders; Jianjun Jiang; John M Denu; Xuehua Zhong
Journal:  Curr Protoc       Date:  2022-08

8.  CUT&RUN for Chromatin Profiling in Caenorhabditis elegans.

Authors:  Felicity J Emerson; Siu Sylvia Lee
Journal:  Curr Protoc       Date:  2022-06

Review 9.  Nucleoporins in cardiovascular disease.

Authors:  Ryan D Burdine; Claudia C Preston; Riley J Leonard; Tyler A Bradley; Randolph S Faustino
Journal:  J Mol Cell Cardiol       Date:  2020-03-21       Impact factor: 5.000

10.  TAF4b transcription networks regulating early oocyte differentiation.

Authors:  Megan A Gura; Soňa Relovská; Kimberly M Abt; Kimberly A Seymour; Tong Wu; Haskan Kaya; James M A Turner; Thomas G Fazzio; Richard N Freiman
Journal:  Development       Date:  2022-02-09       Impact factor: 6.868

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