| Chapter title |
Skeletal Muscle Regeneration in the Mouse
|
|---|---|
| Chapter number | 3 |
| Book title |
Skeletal Muscle Regeneration in the Mouse
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3810-0_3 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3808-7, 978-1-4939-3810-0
|
| Authors |
Le, Gengyun, Lowe, Dawn A, Kyba, Michael, Gengyun Le, Dawn A. Lowe, Michael Kyba Ph.D., Michael Kyba |
| Editors |
Michael Kyba |
| Abstract |
Freeze injury is physically induced by exposing skeletal muscle to an extremely cold probe, and results in a robust degenerative and inflammatory response. One unique aspect of freeze injury is that it destroys not only the muscle fiber cells, but also all of the mononuclear cells in the zone of injury. Repair of the muscle is accomplished by satellite cells from outside of the zone of injury, which must migrate in and which may interact with inflammatory cells, hence the length of time before apparent histological recovery of the most damaged zone is typically somewhat longer with freeze injury than with other physical or chemical methods of injury. In this chapter, we present a detailed protocol for the freeze injury of the tibialis anterior (TA) muscle in mouse. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 30 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 39% |
| Student > Bachelor | 3 | 10% |
| Other | 3 | 10% |
| Researcher | 3 | 10% |
| Student > Master | 2 | 6% |
| Other | 3 | 10% |
| Unknown | 5 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 35% |
| Medicine and Dentistry | 5 | 16% |
| Engineering | 3 | 10% |
| Agricultural and Biological Sciences | 2 | 6% |
| Computer Science | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 6 | 19% |