Literature DB >> 25757765

Epigenome profiling of specific plant cell types using a streamlined INTACT protocol and ChIP-seq.

Dongxue Wang1, Roger B Deal.   

Abstract

Plants consist of many functionally specialized cell types, each with its own unique epigenome, transcriptome, and proteome. Characterization of these cell type-specific properties is essential to understanding cell fate specification and the responses of individual cell types to the environment. In this chapter we describe an approach to map chromatin features in specific cell types of Arabidopsis thaliana using nuclei purification from individual cell types with the INTACT method (isolation of nuclei tagged in specific cell types) followed by chromatin immunoprecipitation and high-throughput sequencing (ChIP-seq). The INTACT system employs two transgenes to generate affinity-labeled nuclei in the cell type of interest, and these tagged nuclei can then be selectively purified from tissue homogenates. The primary transgene encodes the nuclear tagging fusion protein (NTF), which consists of a nuclear envelope-targeting domain, the green fluorescent protein, and a biotin ligase recognition peptide, while the second transgene encodes the E. coli biotin ligase (BirA), which selectively biotinylates NTF. Expression of NTF and BirA in a specific cell type thus yields nuclei that are coated with biotin and can be purified by virtue of their affinity for streptavidin-coated magnetic beads. Compared with the original INTACT nuclei purification protocol, the procedure presented here is greatly simplified and shortened. After nuclei purification, we provide detailed instructions for chromatin isolation, shearing, and immunoprecipitation. Finally, we present a low input ChIP-seq library preparation protocol based on the nano-ChIP-seq method of Adli and Bernstein, and we describe multiplex Illumina sequencing of these libraries to produce high quality, cell type-specific epigenome profiles at a relatively low cost. The procedures given here are optimized for Arabidopsis but should be easily adaptable to other plant species.

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Year:  2015        PMID: 25757765     DOI: 10.1007/978-1-4939-2444-8_1

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


  6 in total

1.  Nuclear Transcriptomes at High Resolution Using Retooled INTACT.

Authors:  Mauricio A Reynoso; Germain C Pauluzzi; Kaisa Kajala; Sean Cabanlit; Joel Velasco; Jérémie Bazin; Roger Deal; Neelima R Sinha; Siobhan M Brady; Julia Bailey-Serres
Journal:  Plant Physiol       Date:  2017-09-27       Impact factor: 8.340

2.  Applying the INTACT method to purify endosperm nuclei and to generate parental-specific epigenome profiles.

Authors:  Jordi Moreno-Romero; Juan Santos-González; Lars Hennig; Claudia Köhler
Journal:  Nat Protoc       Date:  2017-01-05       Impact factor: 13.491

3.  A Global View of RNA-Protein Interactions Identifies Post-transcriptional Regulators of Root Hair Cell Fate.

Authors:  Shawn W Foley; Sager J Gosai; Dongxue Wang; Nur Selamoglu; Amelia C Sollitti; Tino Köster; Alexander Steffen; Eric Lyons; Fevzi Daldal; Benjamin A Garcia; Dorothee Staiger; Roger B Deal; Brian D Gregory
Journal:  Dev Cell       Date:  2017-04-24       Impact factor: 12.270

4.  Identification of Open Chromatin Regions in Plant Genomes Using ATAC-Seq.

Authors:  Marko Bajic; Kelsey A Maher; Roger B Deal
Journal:  Methods Mol Biol       Date:  2018

5.  Deciphering Precise Gene Transcriptional Expression Using gwINTACT in Tomato.

Authors:  Yiyang Chu; Jiachen Gong; Peiwen Wu; Ye Liu; Yinglin Du; Lili Ma; Daqi Fu; Hongliang Zhu; Guiqin Qu; Benzhong Zhu
Journal:  Front Plant Sci       Date:  2022-04-14       Impact factor: 6.627

6.  A versatile Multisite Gateway-compatible promoter and transgenic line collection for cell type-specific functional genomics in Arabidopsis.

Authors:  Maria Del Mar Marquès-Bueno; Ana Karina Morao; Anne Cayrel; Yvon Jaillais; François Roudier; Grégory Vert; Matthieu Pierre Platre; Marie Barberon; Erwann Caillieux; Vincent Colot
Journal:  Plant J       Date:  2016-01       Impact factor: 6.417

  6 in total

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