| Chapter title |
CAVEOLIN-1: Role in Cell Signaling
|
|---|---|
| Chapter number | 3 |
| Book title |
Caveolins and Caveolae
|
| Published in |
Advances in experimental medicine and biology, January 2012
|
| DOI | 10.1007/978-1-4614-1222-9_3 |
| Pubmed ID | |
| Book ISBNs |
978-1-4614-1221-2, 978-1-4614-1222-9
|
| Authors |
Cécile Boscher, Ivan Robert Nabi, Boscher, Cécile, Nabi, Ivan Robert |
| Abstract |
Caveolins (Cavs) are integrated plasma membrane proteins that are complex signaling regulators with numerous partners and whose activity is highly dependent on cellular context. Cavs are both positive and negative regulators of cell signaling in and/or out of caveolae, invaginated lipid raft domains whose formation is caveolin expression dependent. Caveolins and rafts have been implicated in membrane compartmentalization; proteins and lipids accumulate in these membrane microdomains where they transmit fast, amplified and specific signaling cascades. The concept of plasma membrane organization within functional rafts is still in exploration and sometimes questioned. In this chapter, we discuss the opposing functions of caveolin in cell signaling regulation focusing on the role of caveolin both as a promoter and inhibitor of different signaling pathways and on the impact of membrane domain localization on caveolin functionality in cell proliferation, survival, apoptosis and migration. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 102 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 21% |
| Researcher | 15 | 14% |
| Student > Bachelor | 15 | 14% |
| Student > Master | 10 | 10% |
| Professor | 5 | 5% |
| Other | 14 | 13% |
| Unknown | 23 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 21% |
| Agricultural and Biological Sciences | 20 | 19% |
| Medicine and Dentistry | 10 | 10% |
| Neuroscience | 8 | 8% |
| Engineering | 3 | 3% |
| Other | 15 | 14% |
| Unknown | 26 | 25% |