Chapter title |
3D Primary Culture Model to Study Human Mammary Development
|
---|---|
Chapter number | 10 |
Book title |
3D Cell Culture
|
Published in |
Methods in molecular biology, June 2017
|
DOI | 10.1007/978-1-4939-7021-6_10 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7019-3, 978-1-4939-7021-6
|
Authors |
Daniel H. Miller, Ethan S. Sokol, Piyush B. Gupta, Miller, Daniel H., Sokol, Ethan S., Gupta, Piyush B. |
Editors |
Zuzana Koledova |
Abstract |
We present a protocol for expanding human mammary tissues from primary patient-derived cells in three-dimensional (3D) cultures. The primary epithelial cells are seeded into 3D hydrogels with defined components, which include both proteins and carbohydrates present in mammary tissue. Over a span of 10-14 days, the seeded cells form mammary tissues with complex ductal-lobular topologies and include luminal and basal cells in the correct orientation, together with cells that stain positively for stem cell markers. In addition to recapitulating key architectural features of human mammary tissue, the expanded tissues also respond to lactogenic hormones including estrogen, progesterone, and prolactin. We anticipate that these cultures will prove useful for studies of mammary development and breast cancer. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 6 | 29% |
Student > Doctoral Student | 3 | 14% |
Researcher | 2 | 10% |
Unspecified | 1 | 5% |
Student > Master | 1 | 5% |
Other | 1 | 5% |
Unknown | 7 | 33% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 4 | 19% |
Agricultural and Biological Sciences | 4 | 19% |
Unspecified | 1 | 5% |
Veterinary Science and Veterinary Medicine | 1 | 5% |
Immunology and Microbiology | 1 | 5% |
Other | 0 | 0% |
Unknown | 10 | 48% |