| Chapter title |
2in1 Vectors Improve In Planta BiFC and FRET Analyses
|
|---|---|
| Chapter number | 11 |
| Book title |
The Plant Endoplasmic Reticulum
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7389-7_11 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7388-0, 978-1-4939-7389-7
|
| Authors |
Dietmar G. Mehlhorn, Niklas Wallmeroth, Kenneth W. Berendzen, Christopher Grefen, Mehlhorn, Dietmar G., Wallmeroth, Niklas, Berendzen, Kenneth W., Grefen, Christopher |
| Abstract |
Protein-protein interactions (PPIs) play vital roles in all subcellular processes and a number of tools have been developed for their detection and analysis. Each method has its unique set of benefits and drawbacks that need to be considered prior to their application. In fact, researchers are spoilt for choice when it comes to deciding which method to use for the initial detection of a PPI, and which to corroborate the findings. With constant improvements in microscope development, the possibilities of techniques to study PPIs in vivo, and in real time, are continuously enhanced, and expanded. Here, we describe three common approaches, their recent improvements incorporating a 2in1-cloning approach, and their application in plant cell biology: ratiometric Bimolecular Fluorescence Complementation (rBiFC), FRET Acceptor Photobleaching (FRET-AB), and Fluorescent Lifetime Imaging (FRET-FLIM), using Nicotiana benthamiana leaves and Arabidopsis thaliana cell culture protoplasts as transient expression systems. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 29% |
| United States | 2 | 14% |
| United Kingdom | 1 | 7% |
| Spain | 1 | 7% |
| Austria | 1 | 7% |
| Switzerland | 1 | 7% |
| Unknown | 4 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 50% |
| Members of the public | 6 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 11% |
| Researcher | 5 | 11% |
| Student > Master | 5 | 11% |
| Student > Postgraduate | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Other | 4 | 9% |
| Unknown | 19 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 27% |
| Biochemistry, Genetics and Molecular Biology | 9 | 20% |
| Nursing and Health Professions | 1 | 2% |
| Medicine and Dentistry | 1 | 2% |
| Unknown | 21 | 48% |