Title |
Transposon mutagenesis identifies genes driving hepatocellular carcinoma in a chronic hepatitis B mouse model
|
---|---|
Published in |
Nature Genetics, December 2013
|
DOI | 10.1038/ng.2847 |
Pubmed ID | |
Authors |
Emilie A Bard-Chapeau, Anh-Tuan Nguyen, Alistair G Rust, Ahmed Sayadi, Philip Lee, Belinda Q Chua, Lee-Sun New, Johann de Jong, Jerrold M Ward, Christopher K Y Chin, Valerie Chew, Han Chong Toh, Jean-Pierre Abastado, Touati Benoukraf, Richie Soong, Frederic A Bard, Adam J Dupuy, Randy L Johnson, George K Radda, Eric Chun Yong Chan, Lodewyk F A Wessels, David J Adams, Nancy A Jenkins, Neal G Copeland |
Abstract |
The most common risk factor for developing hepatocellular carcinoma (HCC) is chronic infection with hepatitis B virus (HBV). To better understand the evolutionary forces driving HCC, we performed a near-saturating transposon mutagenesis screen in a mouse HBV model of HCC. This screen identified 21 candidate early stage drivers and a very large number (2,860) of candidate later stage drivers that were enriched for genes that are mutated, deregulated or functioning in signaling pathways important for human HCC, with a striking 1,199 genes being linked to cellular metabolic processes. Our study provides a comprehensive overview of the genetic landscape of HCC. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Science communicators (journalists, bloggers, editors) | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 2 | 1% |
Netherlands | 1 | <1% |
Hong Kong | 1 | <1% |
Chile | 1 | <1% |
Japan | 1 | <1% |
United Kingdom | 1 | <1% |
Unknown | 157 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 38 | 23% |
Researcher | 37 | 23% |
Student > Master | 17 | 10% |
Student > Bachelor | 12 | 7% |
Student > Doctoral Student | 10 | 6% |
Other | 29 | 18% |
Unknown | 21 | 13% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 37 | 23% |
Medicine and Dentistry | 30 | 18% |
Computer Science | 5 | 3% |
Psychology | 3 | 2% |
Other | 14 | 9% |
Unknown | 26 | 16% |