| Chapter title |
Isolation and In Vitro Characterization of Epidermal Stem Cells
|
|---|---|
| Chapter number | 6 |
| Book title |
Adult Stem Cells
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6756-8_6 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6754-4, 978-1-4939-6756-8
|
| Authors |
Kasper S. Moestrup, Marianne S. Andersen, Kim B. Jensen, Moestrup, Kasper S., Andersen, Marianne S., Jensen, Kim B. |
| Abstract |
Colony-forming assays represent prospective methods, where cells isolated from enzymatically dissociated tissues or from tissue cultures are assessed for their proliferative capacity in vitro. Complex tissues such as the epithelial component of the skin (the epidermis) are characterized by a substantial cellular heterogeneity. Analysis of bulk populations of cells by colony-forming assays can consequently be convoluted by a number of factors that are not controlled for in population wide studies. It is therefore advantageous to refine in vitro growth assays by sub-fractionation of cells using flow cytometry. Using markers that define the spatial origin of epidermal cells, it is possible to interrogate the specific characteristics of subpopulations of cells based on their in vivo credentials. Here, we describe how to isolate, culture, and characterize keratinocytes from murine back and tail skin sorted by surface antigens associated with adult stem cell characteristics. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 36% |
| Student > Doctoral Student | 2 | 14% |
| Student > Postgraduate | 1 | 7% |
| Lecturer | 1 | 7% |
| Unknown | 5 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 29% |
| Agricultural and Biological Sciences | 1 | 7% |
| Social Sciences | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Engineering | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 6 | 43% |