Chapter title |
Lineage Tracing of Mammary Stem and Progenitor Cells.
|
---|---|
Chapter number | 15 |
Book title |
Mammary Gland Development
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6475-8_15 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6473-4, 978-1-4939-6475-8
|
Authors |
Anoeska A. A. van de Moosdijk, Nai Yang Fu, Anne C. Rios, Jane E. Visvader, Renée van Amerongen, Moosdijk, Anoeska A. A., Fu, Nai Yang, Rios, Anne C., Visvader, Jane E., Amerongen, Renée |
Editors |
Finian Martin, Torsten Stein, Jillian Howlin |
Abstract |
Lineage tracing analysis allows mammary epithelial cells to be tracked in their natural environment, thereby revealing cell fate and proliferation choices in the intact tissue. This technique is particularly informative for studying how stem cells build and maintain the mammary epithelium during development and pregnancy. Here we describe two experimental systems based on Cre/loxP technology (Cre(ERT2)/loxP and rtTA/tetO-Cre/loxP), which allow the inducible, permanent labeling of mammary epithelial cells following the administration of either tamoxifen or doxycycline. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 14% |
Student > Ph. D. Student | 3 | 14% |
Researcher | 3 | 14% |
Student > Bachelor | 2 | 10% |
Professor > Associate Professor | 1 | 5% |
Other | 0 | 0% |
Unknown | 9 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 6 | 29% |
Agricultural and Biological Sciences | 3 | 14% |
Nursing and Health Professions | 1 | 5% |
Mathematics | 1 | 5% |
Social Sciences | 1 | 5% |
Other | 1 | 5% |
Unknown | 8 | 38% |