| Title |
Magic-Factor 1, a Partial Agonist of Met, Induces Muscle Hypertrophy by Protecting Myogenic Progenitors from Apoptosis
|
|---|---|
| Published in |
PLOS ONE, September 2008
|
| DOI | 10.1371/journal.pone.0003223 |
| Pubmed ID | |
| Authors |
Marco Cassano, Stefano Biressi, Amanda Finan, Laura Benedetti, Claudia Omes, Renata Boratto, Frank Martin, Marcello Allegretti, Vania Broccoli, Gabriella Cusella De Angelis, Paolo M. Comoglio, Cristina Basilico, Yvan Torrente, Paolo Michieli, Giulio Cossu, Maurilio Sampaolesi |
| Abstract |
Hepatocyte Growth Factor (HGF) is a pleiotropic cytokine of mesenchymal origin that mediates a characteristic array of biological activities including cell proliferation, survival, motility and morphogenesis. Its high affinity receptor, the tyrosine kinase Met, is expressed by a wide range of tissues and can be activated by either paracrine or autocrine stimulation. Adult myogenic precursor cells, the so called satellite cells, express both HGF and Met. Following muscle injury, autocrine HGF-Met stimulation plays a key role in promoting activation and early division of satellite cells, but is shut off in a second phase to allow myogenic differentiation. In culture, HGF stimulation promotes proliferation of muscle precursors thereby inhibiting their differentiation. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 3% |
| Canada | 1 | 1% |
| United Kingdom | 1 | 1% |
| Belgium | 1 | 1% |
| Japan | 1 | 1% |
| Unknown | 63 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 23% |
| Student > Bachelor | 12 | 17% |
| Student > Ph. D. Student | 7 | 10% |
| Professor > Associate Professor | 6 | 9% |
| Other | 5 | 7% |
| Other | 15 | 22% |
| Unknown | 8 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 38% |
| Biochemistry, Genetics and Molecular Biology | 16 | 23% |
| Medicine and Dentistry | 10 | 14% |
| Neuroscience | 2 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 10 | 14% |