Literature DB >> 35524116

CUT&RUN Profiling of the Budding Yeast Epigenome.

Sandipan Brahma1,2, Steven Henikoff3,4.   

Abstract

Mapping the epigenome is key to describe the relationship between chromatin landscapes and the control of DNA-based cellular processes such as transcription. Cleavage under targets and release using nuclease (CUT&RUN) is an in situ chromatin profiling strategy in which controlled cleavage by antibody-targeted Micrococcal Nuclease solubilizes specific protein-DNA complexes for paired-end DNA sequencing. When applied to budding yeast, CUT&RUN profiling yields precise genome-wide maps of histone modifications, histone variants, transcription factors, and ATP-dependent chromatin remodelers, while avoiding cross-linking and solubilization issues associated with the most commonly used chromatin profiling technique Chromatin Immunoprecipitation (ChIP). Furthermore, targeted chromatin complexes cleanly released by CUT&RUN can be used as input for a subsequent native immunoprecipitation step (CUT&RUN.ChIP) to simultaneously map two epitopes in single molecules genome-wide. The intrinsically low background and high resolution of CUT&RUN and CUT&RUN.ChIP allows for identification of transient genomic features such as dynamic nucleosome-remodeling intermediates. Starting from cells, one can perform CUT&RUN or CUT&RUN.ChIP and obtain purified DNA for sequencing library preparation in 2 days.
© 2022. The Author(s).

Entities:  

Keywords:  Chromatin dynamics; Chromatin profiling; Genome-wide mapping; Nucleosomes; Transcription factors

Mesh:

Substances:

Year:  2022        PMID: 35524116     DOI: 10.1007/978-1-0716-2257-5_9

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  20 in total

1.  High-resolution profiling of histone methylations in the human genome.

Authors:  Artem Barski; Suresh Cuddapah; Kairong Cui; Tae-Young Roh; Dustin E Schones; Zhibin Wang; Gang Wei; Iouri Chepelev; Keji Zhao
Journal:  Cell       Date:  2007-05-18       Impact factor: 41.582

2.  Highly expressed loci are vulnerable to misleading ChIP localization of multiple unrelated proteins.

Authors:  Leonid Teytelman; Deborah M Thurtle; Jasper Rine; Alexander van Oudenaarden
Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-30       Impact factor: 11.205

Review 3.  Understanding nucleosome dynamics and their links to gene expression and DNA replication.

Authors:  William K M Lai; B Franklin Pugh
Journal:  Nat Rev Mol Cell Biol       Date:  2017-05-24       Impact factor: 94.444

4.  Active promoters give rise to false positive 'Phantom Peaks' in ChIP-seq experiments.

Authors:  Dhawal Jain; Sandro Baldi; Angelika Zabel; Tobias Straub; Peter B Becker
Journal:  Nucleic Acids Res       Date:  2015-06-27       Impact factor: 16.971

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

Authors:  Peter J Skene; Steven Henikoff
Journal:  Elife       Date:  2015-06-16       Impact factor: 8.140

6.  High-resolution mapping of transcription factor binding sites on native chromatin.

Authors:  Sivakanthan Kasinathan; Guillermo A Orsi; Gabriel E Zentner; Kami Ahmad; Steven Henikoff
Journal:  Nat Methods       Date:  2013-12-15       Impact factor: 28.547

7.  ChIP-nexus enables improved detection of in vivo transcription factor binding footprints.

Authors:  Qiye He; Jeff Johnston; Julia Zeitlinger
Journal:  Nat Biotechnol       Date:  2015-03-09       Impact factor: 54.908

8.  A dynamic mode of mitotic bookmarking by transcription factors.

Authors:  Sheila S Teves; Luye An; Anders S Hansen; Liangqi Xie; Xavier Darzacq; Robert Tjian
Journal:  Elife       Date:  2016-11-19       Impact factor: 8.140

9.  Widespread misinterpretable ChIP-seq bias in yeast.

Authors:  Daechan Park; Yaelim Lee; Gurvani Bhupindersingh; Vishwanath R Iyer
Journal:  PLoS One       Date:  2013-12-09       Impact factor: 3.240

10.  A high-resolution protein architecture of the budding yeast genome.

Authors:  Matthew J Rossi; Prashant K Kuntala; William K M Lai; Naomi Yamada; Nitika Badjatia; Chitvan Mittal; Guray Kuzu; Kylie Bocklund; Nina P Farrell; Thomas R Blanda; Joshua D Mairose; Ann V Basting; Katelyn S Mistretta; David J Rocco; Emily S Perkinson; Gretta D Kellogg; Shaun Mahony; B Franklin Pugh
Journal:  Nature       Date:  2021-03-10       Impact factor: 69.504

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