Title |
Sequencing the transcriptome of milk production: milk trumps mammary tissue
|
---|---|
Published in |
BMC Genomics, December 2013
|
DOI | 10.1186/1471-2164-14-872 |
Pubmed ID | |
Authors |
Danielle G Lemay, Russell C Hovey, Stella R Hartono, Katie Hinde, Jennifer T Smilowitz, Frank Ventimiglia, Kimberli A Schmidt, Joyce WS Lee, Alma Islas-Trejo, Pedro Ivo Silva, Ian Korf, Juan F Medrano, Peter A Barry, J Bruce German |
Abstract |
Studies of normal human mammary gland development and function have mostly relied on cell culture, limited surgical specimens, and rodent models. Although RNA extracted from human milk has been used to assay the mammary transcriptome non-invasively, this assay has not been adequately validated in primates. Thus, the objectives of the current study were to assess the suitability of lactating rhesus macaques as a model for lactating humans and to determine whether RNA extracted from milk fractions is representative of RNA extracted from mammary tissue for the purpose of studying the transcriptome of milk-producing cells. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 43% |
United Kingdom | 1 | 14% |
France | 1 | 14% |
Unknown | 2 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 57% |
Scientists | 2 | 29% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 1% |
Brazil | 1 | 1% |
Unknown | 70 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 21% |
Researcher | 14 | 19% |
Student > Bachelor | 8 | 11% |
Professor | 5 | 7% |
Student > Master | 5 | 7% |
Other | 12 | 17% |
Unknown | 13 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 30 | 42% |
Biochemistry, Genetics and Molecular Biology | 11 | 15% |
Veterinary Science and Veterinary Medicine | 5 | 7% |
Immunology and Microbiology | 3 | 4% |
Medicine and Dentistry | 2 | 3% |
Other | 7 | 10% |
Unknown | 14 | 19% |