Literature DB >> 35188122

Single-Cell Factor Localization on Chromatin using Ultra-Low Input Cleavage Under Targets and Release using Nuclease.

Santana M Lardo1, Sarah J Hainer2.   

Abstract

Determining the binding locations of a protein on chromatin is essential for understanding its function and potential regulatory targets. Chromatin Immunoprecipitation (ChIP) has been the gold standard for determining protein localization for over 30 years and is defined by the use of an antibody to pull out the protein of interest from sonicated or enzymatically digested chromatin. More recently, antibody tethering techniques have become popular for assessing protein localization on chromatin due to their increased sensitivity. Cleavage Under Targets & Release Under Nuclease (CUT&RUN) is the genome-wide derivative of Chromatin Immunocleavage (ChIC) and utilizes recombinant Protein A tethered to micrococcal nuclease (pA-MNase) to identify the IgG constant region of the antibody targeting a protein of interest, therefore enabling site-specific cleavage of the DNA flanking the protein of interest. CUT&RUN can be used to profile histone modifications, transcription factors, and other chromatin-binding proteins such as nucleosome remodeling factors. Importantly, CUT&RUN can be used to assess the localization of either euchromatic- or heterochromatic-associated proteins and histone modifications. For these reasons, CUT&RUN is a powerful method for determining the binding profiles of a wide range of proteins. Recently, CUT&RUN has been optimized for transcription factor profiling in low populations of cells and single cells and the optimized protocol has been termed ultra-low input CUT&RUN (uliCUT&RUN). Here, a detailed protocol is presented for single-cell factor profiling using uliCUT&RUN in a manual 96-well format.

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Year:  2022        PMID: 35188122      PMCID: PMC9306226          DOI: 10.3791/63536

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.424


  30 in total

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Authors:  B Ren; F Robert; J J Wyrick; O Aparicio; E G Jennings; I Simon; J Zeitlinger; J Schreiber; N Hannett; E Kanin; T L Volkert; C J Wilson; S P Bell; R A Young
Journal:  Science       Date:  2000-12-22       Impact factor: 47.728

2.  DNA methylation has a local effect on transcription and histone acetylation.

Authors:  Ryan A Irvine; Iping G Lin; Chih-Lin Hsieh
Journal:  Mol Cell Biol       Date:  2002-10       Impact factor: 4.272

3.  Translational and rotational settings of H2A.Z nucleosomes across the Saccharomyces cerevisiae genome.

Authors:  Istvan Albert; Travis N Mavrich; Lynn P Tomsho; Ji Qi; Sara J Zanton; Stephan C Schuster; B Franklin Pugh
Journal:  Nature       Date:  2007-03-29       Impact factor: 49.962

4.  Single-tube linear DNA amplification (LinDA) for robust ChIP-seq.

Authors:  Pattabhiraman Shankaranarayanan; Marco-Antonio Mendoza-Parra; Mannu Walia; Li Wang; Ning Li; Luisa M Trindade; Hinrich Gronemeyer
Journal:  Nat Methods       Date:  2011-06-05       Impact factor: 28.547

5.  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

6.  Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position.

Authors:  Jason D Buenrostro; Paul G Giresi; Lisa C Zaba; Howard Y Chang; William J Greenleaf
Journal:  Nat Methods       Date:  2013-10-06       Impact factor: 28.547

7.  Formaldehyde-mediated DNA-protein crosslinking: a probe for in vivo chromatin structures.

Authors:  M J Solomon; A Varshavsky
Journal:  Proc Natl Acad Sci U S A       Date:  1985-10       Impact factor: 11.205

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.  Improved CUT&RUN chromatin profiling tools.

Authors:  Michael P Meers; Terri D Bryson; Jorja G Henikoff; Steven Henikoff
Journal:  Elife       Date:  2019-06-24       Impact factor: 8.140

10.  A microfluidic device for epigenomic profiling using 100 cells.

Authors:  Zhenning Cao; Changya Chen; Bing He; Kai Tan; Chang Lu
Journal:  Nat Methods       Date:  2015-07-27       Impact factor: 28.547

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