Chapter title |
Analysis of In Vivo Chromatin and Protein Interactions of Arabidopsis Transcript Elongation Factors
|
---|---|
Chapter number | 8 |
Book title |
Plant Gene Regulatory Networks
|
Published in |
Methods in molecular biology, June 2017
|
DOI | 10.1007/978-1-4939-7125-1_8 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7124-4, 978-1-4939-7125-1
|
Authors |
Pfab, Alexander, Antosz, Wojciech, Holzinger, Philipp, Bruckmann, Astrid, Griesenbeck, Joachim, Grasser, Klaus D., Alexander Pfab, Wojciech Antosz, Philipp Holzinger, Astrid Bruckmann, Joachim Griesenbeck, Klaus D. Grasser |
Editors |
Kerstin Kaufmann, Bernd Mueller-Roeber |
Abstract |
A central step to elucidate the function of proteins commonly comprises the analysis of their molecular interactions in vivo. For nuclear regulatory proteins this involves determining protein-protein interactions as well as mapping of chromatin binding sites. Here, we present two protocols to identify protein-protein and chromatin interactions of transcript elongation factors (TEFs) in Arabidopsis. The first protocol (Subheading 3.1) describes protein affinity-purification coupled to mass spectrometry (AP-MS) that utilizes suspension cultured cells as experimental system. This approach provides an unbiased view of proteins interacting with epitope-tagged TEFs. The second protocol (Subheading 3.2) depicts details about a chromatin immunoprecipitation (ChIP) procedure to characterize genomic binding sites of TEFs. These methods should be valuable tools for the analysis of a broad variety of nuclear proteins. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 33% |
Student > Doctoral Student | 2 | 22% |
Researcher | 1 | 11% |
Unknown | 3 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 4 | 44% |
Agricultural and Biological Sciences | 2 | 22% |
Unknown | 3 | 33% |