Title |
The genetic heterogeneity and mutational burden of engineered melanomas in zebrafish models
|
---|---|
Published in |
Genome Biology, December 2013
|
DOI | 10.1186/gb-2013-14-10-r113 |
Pubmed ID | |
Authors |
Jennifer Yen, Richard M White, David C Wedge, Peter Van Loo, Jeroen de Ridder, Amy Capper, Jennifer Richardson, David Jones, Keiran Raine, Ian R Watson, Chang-Jiun Wu, Jiqiu Cheng, Iñigo Martincorena, Serena Nik-Zainal, Laura Mudie, Yves Moreau, John Marshall, Manasa Ramakrishna, Patrick Tarpey, Adam Shlien, Ian Whitmore, Steve Gamble, Calli Latimer, Erin Langdon, Charles Kaufman, Mike Dovey, Alison Taylor, Andy Menzies, Stuart McLaren, Sarah O’Meara, Adam Butler, Jon Teague, James Lister, Lynda Chin, Peter Campbell, David J Adams, Leonard I Zon, E Elizabeth Patton, Derek L Stemple, P Andy Futreal |
Abstract |
Melanoma is the most deadly form of skin cancer. Expression of oncogenic BRAF or NRAS, which are frequently mutated in human melanomas, promote the formation of nevi but are not sufficient for tumorigenesis. Even with germline mutated p53, these engineered melanomas present with variable onset and pathology, implicating additional somatic mutations in a multi-hit tumorigenic process. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 25% |
United Kingdom | 2 | 17% |
France | 1 | 8% |
Chile | 1 | 8% |
India | 1 | 8% |
Unknown | 4 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 58% |
Scientists | 3 | 25% |
Science communicators (journalists, bloggers, editors) | 2 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 3% |
Portugal | 1 | <1% |
United Kingdom | 1 | <1% |
Netherlands | 1 | <1% |
Belgium | 1 | <1% |
Canada | 1 | <1% |
Unknown | 110 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 31 | 26% |
Student > Ph. D. Student | 24 | 20% |
Student > Master | 11 | 9% |
Student > Bachelor | 9 | 8% |
Professor > Associate Professor | 6 | 5% |
Other | 20 | 17% |
Unknown | 17 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 41 | 35% |
Biochemistry, Genetics and Molecular Biology | 28 | 24% |
Medicine and Dentistry | 12 | 10% |
Neuroscience | 4 | 3% |
Computer Science | 2 | 2% |
Other | 11 | 9% |
Unknown | 20 | 17% |