Chapter title |
FRET-FLIM for Visualizing and Quantifying Protein Interactions in Live Plant Cells
|
---|---|
Chapter number | 13 |
Book title |
Plant Hormones
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6469-7_13 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6467-3, 978-1-4939-6469-7
|
Authors |
Rios, Alejandra Freire, Radoeva, Tatyana, De Rybel, Bert, Weijers, Dolf, Borst, Jan Willem, Alejandra Freire Rios, Tatyana Radoeva, Bert De Rybel, Dolf Weijers, Jan Willem Borst |
Editors |
Jürgen Kleine-Vehn, Michael Sauer |
Abstract |
Proteins are the workhorses that control most biological processes in living cells. Although proteins can accomplish their functions independently, the vast majority of functions require proteins to interact with other proteins or biomacromolecules. Protein interactions can be investigated through biochemical assays such as co-immunoprecipitation (co-IP) or Western blot analysis, but such assays lack spatial information. Here we describe a well-developed imaging method, Förster resonance energy transfer (FRET) analyzed by fluorescence lifetime imaging microscopy (FLIM), that can be used to visualize protein interactions with both spatial and temporal resolution in live cells. We demonstrate its use in plant developmental research by visualizing in vivo dimerization of AUXIN RESPONSE FACTOR (ARF) proteins, mediating auxin responses. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 32 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 22% |
Researcher | 6 | 19% |
Student > Master | 4 | 13% |
Student > Bachelor | 3 | 9% |
Professor | 1 | 3% |
Other | 2 | 6% |
Unknown | 9 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 10 | 31% |
Biochemistry, Genetics and Molecular Biology | 7 | 22% |
Environmental Science | 1 | 3% |
Chemical Engineering | 1 | 3% |
Immunology and Microbiology | 1 | 3% |
Other | 3 | 9% |
Unknown | 9 | 28% |