Literature DB >> 29027168

ChIP-re-ChIP: Co-occupancy Analysis by Sequential Chromatin Immunoprecipitation.

Timothy V Beischlag1, Gratien G Prefontaine2, Oliver Hankinson3.   

Abstract

Chromatin immunoprecipitation (ChIP) exploits the specific interactions between DNA and DNA-associated proteins. It can be used to examine a wide range of experimental parameters. A number of proteins bound at the same genomic location can identify a multi-protein chromatin complex where several proteins work together to regulate gene transcription or chromatin configuration. In many instances, this can be achieved using sequential ChIP; or simply, ChIP-re-ChIP. Whether it is for the examination of specific transcriptional or epigenetic regulators, or for the identification of cistromes, the ability to perform a sequential ChIP adds a higher level of power and definition to these analyses. In this chapter, we describe a simple and reliable method for the sequential ChIP assay.

Keywords:  ChIP-re-ChIP; Chemical cross-linking; Chromatin immunoprecipitation (ChIP); Co-occupancy; Polymerase chain reaction (PCR); Promoter/regulatory region occupancy; Protein–protein interactions

Mesh:

Substances:

Year:  2018        PMID: 29027168     DOI: 10.1007/978-1-4939-7380-4_9

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


  4 in total

1.  The Histone Methyltransferase Setdb2 Modulates Macrophage Phenotype and Uric Acid Production in Diabetic Wound Repair.

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Journal:  Immunity       Date:  2019-07-23       Impact factor: 31.745

Review 2.  Protein-DNA/RNA Interactions: An Overview of Investigation Methods in the -Omics Era.

Authors:  Flora Cozzolino; Ilaria Iacobucci; Vittoria Monaco; Maria Monti
Journal:  J Proteome Res       Date:  2021-05-07       Impact factor: 4.466

3.  Inhibition of macrophage histone demethylase JMJD3 protects against abdominal aortic aneurysms.

Authors:  Frank M Davis; Lam C Tsoi; William J Melvin; Aaron denDekker; Rachael Wasikowski; Amrita D Joshi; Sonya Wolf; Andrea T Obi; Allison C Billi; Xianying Xing; Christopher Audu; Bethany B Moore; Steven L Kunkel; Alan Daugherty; Hong S Lu; Johann E Gudjonsson; Katherine A Gallagher
Journal:  J Exp Med       Date:  2021-06-07       Impact factor: 14.307

4.  Integrating binding and expression data to predict transcription factors combined function.

Authors:  Mahmoud Ahmed; Do Sik Min; Deok Ryong Kim
Journal:  BMC Genomics       Date:  2020-09-07       Impact factor: 3.969

  4 in total

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