Title |
DriverNet: uncovering the impact of somatic driver mutations on transcriptional networks in cancer
|
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Published in |
Genome Biology, December 2012
|
DOI | 10.1186/gb-2012-13-12-r124 |
Pubmed ID | |
Authors |
Ali Bashashati, Gholamreza Haffari, Jiarui Ding, Gavin Ha, Kenneth Lui, Jamie Rosner, David G Huntsman, Carlos Caldas, Samuel A Aparicio, Sohrab P Shah |
Abstract |
Simultaneous interrogation of tumor genomes and transcriptomes is underway in unprecedented global efforts. Yet, despite the essential need to separate driver mutations modulating gene expression networks from transcriptionally inert passenger mutations, robust computational methods to ascertain the impact of individual mutations on transcriptional networks are underdeveloped. We introduce a novel computational framework, DriverNet, to identify likely driver mutations by virtue of their effect on mRNA expression networks. Application to four cancer datasets reveals the prevalence of rare candidate driver mutations associated with disrupted transcriptional networks and a simultaneous modulation of oncogenic and metabolic networks, induced by copy number co-modification of adjacent oncogenic and metabolic drivers. DriverNet is available on Bioconductor or at http://compbio.bccrc.ca/software/drivernet/. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 29% |
United Kingdom | 1 | 14% |
Spain | 1 | 14% |
Japan | 1 | 14% |
Belgium | 1 | 14% |
Unknown | 1 | 14% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 57% |
Members of the public | 2 | 29% |
Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 2% |
Canada | 3 | 1% |
Germany | 2 | <1% |
France | 2 | <1% |
Singapore | 2 | <1% |
United Kingdom | 2 | <1% |
Hong Kong | 1 | <1% |
Brazil | 1 | <1% |
Korea, Republic of | 1 | <1% |
Other | 2 | <1% |
Unknown | 219 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 65 | 27% |
Researcher | 46 | 19% |
Student > Master | 23 | 10% |
Student > Bachelor | 23 | 10% |
Student > Postgraduate | 12 | 5% |
Other | 37 | 15% |
Unknown | 34 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 81 | 34% |
Biochemistry, Genetics and Molecular Biology | 46 | 19% |
Computer Science | 41 | 17% |
Medicine and Dentistry | 14 | 6% |
Engineering | 9 | 4% |
Other | 13 | 5% |
Unknown | 36 | 15% |