| Chapter title |
Analysis of Arf1 GTPase-Dependent Membrane Binding and Remodeling Using the Exomer Secretory Vesicle Cargo Adaptor
|
|---|---|
| Chapter number | 4 |
| Book title |
The Golgi Complex
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-6463-5_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6461-1, 978-1-4939-6463-5
|
| Authors |
Jon E. Paczkowski, J. Christopher Fromme, Paczkowski, Jon E, Fromme, J Christopher |
| Editors |
William J. Brown |
| Abstract |
Protein-protein and protein-membrane interactions play a critical role in shaping biological membranes through direct physical contact with the membrane surface. This is particularly evident in many steps of membrane trafficking, in which proteins deform the membrane and induce fission to form transport carriers. The small GTPase Arf1 and related proteins have the ability to remodel membranes by insertion of an amphipathic helix into the membrane. Arf1 and the exomer cargo adaptor coordinate cargo sorting into subset of secretory vesicle carriers in the model organism Saccharomyces cerevisiae. Here, we detail the assays we used to explore the cooperative action of Arf1 and exomer to bind and remodel membranes. We expect these methods are broadly applicable to other small GTPase/effector systems where investigation of membrane binding and remodeling is of interest. |
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 | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 25% |
| Researcher | 4 | 25% |
| Professor > Associate Professor | 2 | 13% |
| Student > Ph. D. Student | 2 | 13% |
| Unspecified | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 50% |
| Agricultural and Biological Sciences | 4 | 25% |
| Unspecified | 1 | 6% |
| Computer Science | 1 | 6% |
| Chemistry | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 1 | 6% |