Title |
Complex-based analysis of dysregulated cellular processes in cancer
|
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Published in |
BMC Systems Biology, December 2014
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DOI | 10.1186/1752-0509-8-s4-s1 |
Pubmed ID | |
Authors |
Sriganesh Srihari, Piyush B Madhamshettiwar, Sarah Song, Chao Liu, Peter T Simpson, Kum Kum Khanna, Mark A Ragan |
Abstract |
Differential expression analysis of (individual) genes is often used to study their roles in diseases. However, diseases such as cancer are a result of the combined effect of multiple genes. Gene products such as proteins seldom act in isolation, but instead constitute stable multi-protein complexes performing dedicated functions. Therefore, complexes aggregate the effect of individual genes (proteins) and can be used to gain a better understanding of cancer mechanisms. Here, we observe that complexes show considerable changes in their expression, in turn directed by the concerted action of transcription factors (TFs), across cancer conditions. We seek to gain novel insights into cancer mechanisms through a systematic analysis of complexes and their transcriptional regulation. |
X Demographics
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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
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Russia | 1 | 5% |
Unknown | 18 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 6 | 32% |
Researcher | 3 | 16% |
Student > Ph. D. Student | 2 | 11% |
Professor > Associate Professor | 2 | 11% |
Student > Master | 1 | 5% |
Other | 1 | 5% |
Unknown | 4 | 21% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 4 | 21% |
Medicine and Dentistry | 3 | 16% |
Computer Science | 3 | 16% |
Biochemistry, Genetics and Molecular Biology | 2 | 11% |
Engineering | 2 | 11% |
Other | 1 | 5% |
Unknown | 4 | 21% |