Chapter title |
Chromatin Immunoprecipitation Assay to Identify Genomic Binding Sites of Regulatory Factors.
|
---|---|
Chapter number | 6 |
Book title |
Estrogen Receptors
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3127-9_6 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3126-2, 978-1-4939-3127-9
|
Authors |
Wagner, Meike, Jung, Johannes, Koslowski, Michael, Türeci, Özlem, Tiwari, Vijay K, Sahin, Ugur, Meike Wagner, Johannes Jung, Michael Koslowski, Özlem Türeci, Vijay K. Tiwari, Ugur Sahin, Tiwari, Vijay K. |
Abstract |
DNA-protein interactions are vital to fundamental cellular events including transcription, replication, DNA repair, and recombination. Thus, their study holds the key to our understanding of mechanisms underlying normal development and homeostasis as well as disease. Transcriptional regulation is a highly complex process that involves recruitment of numerous factors resulting in formation of multi-protein complexes at gene promoters to regulate gene expression. The studied proteins can be, for example, transcription factors, epigenetic regulators, co-activators, co-repressors, or ligand-activated nuclear receptors as estrogen receptor-α (ERα) bound either directly to the DNA or indirectly by interaction with other DNA-bound factors. Chromatin immunoprecipitation (ChIP) assay is a powerful method to study interactions of proteins and a specific genomic DNA region. Recruitment of ERα to promoters of estrogen-dependent genes is a common mechanism to activate or enhance gene transcription in breast cancer thus promoting tumor progression. In this chapter, we demonstrate a stepwise protocol for ChIP assay using binding of ERα to its genomic targets after stimulation with 17β-estradiol (E2) in breast cancer cells as an example. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 20% |
Professor | 2 | 13% |
Other | 1 | 7% |
Student > Master | 1 | 7% |
Student > Postgraduate | 1 | 7% |
Other | 0 | 0% |
Unknown | 7 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Immunology and Microbiology | 3 | 20% |
Biochemistry, Genetics and Molecular Biology | 2 | 13% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
Agricultural and Biological Sciences | 1 | 7% |
Chemistry | 1 | 7% |
Other | 0 | 0% |
Unknown | 7 | 47% |