PuSH - Publication Server of Helmholtz Zentrum München: In Vivo ChIP-Seq of nuclear receptors: A rough guide to transform frozen tissues into high-confidence genome-wide binding profiles.

Information

Clues to quality of journals

Open Access Policy of Helmholtz Association 2016

CC Licencences

Publication Metrics

Navigation

Home

Deutsch

EVA: Electronic Publishing

New EVA Application

Research

Advanced Search

Browse by ...

... HMGU-Authors/Consortia

... Organizational Structure

... Journal

... Publication Type

... Research Data

... Arbeitsgruppen

... Publication Year

Publication overview

Statistics

Statistics (last 5 years)

OA Publications

Publish

Submit Publication

Import publication from...

...EVA

Report missing publication

Highlights

Support & Contact

Contact persons

Help

Data protection

Helmholtz Open Science

JANE Journal Estimator

SHERPA/RoMEO

DOAJ

Export:

Text

Endnote (RIS) BIB

BibTeX

Mir, A.A. ; Dyar, K.A. ; Greulich, F. ; Quagliarini, F. ; Jouffe, C. ; Hubert, M. J. ; Hemmer, M.C. ; Uhlenhaut, N.H.

In Vivo ChIP-Seq of nuclear receptors: A rough guide to transform frozen tissues into high-confidence genome-wide binding profiles.

In: Nuclear Receptors. Berlin [u.a.]: Springer, 2019. 39-70 (Methods Mol. Biol. ; 1966)

DOI

PMC

Open Access Green as soon as Postprint is submitted to ZB.

Abstract
Metrics
Extra information

Chromatin immunoprecipitation coupled to next generation sequencing (ChIP-seq) is a powerful tool to map context-dependent genome-wide binding of nuclear hormone receptors and their coregulators. This information can provide important mechanistic insight into where, when and how DNA–protein interactions are linked to target gene regulation. Here we describe a simple, yet reliable ChIP-seq method, including nuclear isolation from frozen tissue samples, cross-linking DNA–protein complexes, chromatin shearing, immunoprecipitation, and purification of ChIP DNA. We also include a standard ChIP-seq data analysis pipeline to elaborate and analyze raw single-end or paired-end sequencing data, including quality control steps, peak calling, annotation, and motif enrichment.

Scopus
Cited By

Altmetric