| Chapter title |
Isolation, Culture, and Differentiation of Fibro/Adipogenic Progenitors (FAPs) from Skeletal Muscle
|
|---|---|
| Chapter number | 7 |
| Book title |
Skeletal Muscle Development
|
| Published in |
Methods in molecular biology, August 2017
|
| DOI | 10.1007/978-1-4939-7283-8_7 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7282-1, 978-1-4939-7283-8
|
| Authors |
Judson, Robert N., Low, Marcela, Eisner, Christine, Rossi, Fabio M., Robert N. Judson, Marcela Low, Christine Eisner, Fabio M. Rossi |
| Abstract |
Fibro/Adipogenic Progenitors (FAPs) are a multipotent progenitor population resident in skeletal muscle. During development and regeneration, FAPs provide trophic support to myogenic progenitors that is required for muscle fiber maturation and specification. FAPs also represent a major cellular source of fibrosis in degenerative disease states, highlighting them as a potential cellular target for anti-fibrotic muscle therapies. Effective and reproducible methods to isolate and culture highly purified FAP populations are therefore critical to further understand their biology. Here, we describe a fluorescent activated cell sorting (FACS) based protocol to isolate CD31-/CD45-/Integrin-α7-/Sca1+ FAPs from murine skeletal muscle including details of tissue collection and enzymatic muscle digestion. We also incorporate optimized methods of expanding and differentiated FAPs in vitro. Together, this protocol provides a complete workflow to study skeletal muscle derived FAPs and compliments downstream analytical, drug screening, and disease modeling applications. |
X Demographics
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| Country | Count | As % |
|---|---|---|
| United States | 2 | 40% |
| United Kingdom | 1 | 20% |
| Australia | 1 | 20% |
| Canada | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 15% |
| Student > Bachelor | 8 | 13% |
| Student > Ph. D. Student | 7 | 11% |
| Student > Master | 7 | 11% |
| Student > Postgraduate | 4 | 7% |
| Other | 8 | 13% |
| Unknown | 18 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 27 | 44% |
| Agricultural and Biological Sciences | 5 | 8% |
| Computer Science | 1 | 2% |
| Medicine and Dentistry | 1 | 2% |
| Neuroscience | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 25 | 41% |