| Chapter title |
Skin Diseases in Laboratory Mice: Approaches to Drug Target Identification and Efficacy Screening.
|
|---|---|
| Chapter number | 12 |
| Book title |
Mouse Models for Drug Discovery
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3661-8_12 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3659-5, 978-1-4939-3661-8
|
| Authors |
John P. Sundberg D.V.M., Ph.D., Kathleen A. Silva, Lloyd E. King Jr, C. Herbert Pratt, John P. Sundberg, Lloyd E. KingJr, Lloyd E. King, Jr, Lloyd E. King |
| Editors |
Gabriele Proetzel, Michael V. Wiles |
| Abstract |
A large variety of mouse models for human skin, hair, and nail diseases are readily available from investigators and vendors worldwide. Mouse skin is a simple organ to observe lesions and their response to therapy, but identifying and monitoring the progress of treatments of mouse skin diseases can still be challenging. This chapter provides an overview on how to use the laboratory mouse as a preclinical tool to evaluate efficacy of new compounds or test potential new uses for compounds approved for use for treating an unrelated disease. Basic approaches to handling mice, applying compounds, and quantifying effects of the treatment are presented. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Romania | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| Brazil | 1 | 4% |
| Unknown | 24 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 27% |
| Student > Ph. D. Student | 7 | 27% |
| Student > Bachelor | 2 | 8% |
| Lecturer | 2 | 8% |
| Other | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 5 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 27% |
| Medicine and Dentistry | 6 | 23% |
| Biochemistry, Genetics and Molecular Biology | 4 | 15% |
| Nursing and Health Professions | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 4 | 15% |