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Literature DB >> 21414479

Principles and strategies for developing network models in cancer.

Abstract

The flood of genome-wide data generated by high-throughput technologies currently provides biologists with an unprecedented opportunity: to manipulate, query, and reconstruct functional molecular networks of cells. Here, we outline three underlying principles and six strategies to infer network models from genomic data. Then, using cancer as an example, we describe experimental and computational approaches to infer "differential" networks that can identify genes and processes driving disease phenotypes. In conclusion, we discuss how a network-level understanding of cancer can be used to predict drug response and guide therapeutics.

Entities: Chemical Disease Gene Mutation Species

Mesh：

Year: 2011 PMID： 21414479 PMCID： PMC3082135 DOI： 10.1016/j.cell.2011.03.001

Source DB: PubMed Journal: Cell ISSN： 0092-8674 Impact factor: 41.582

48 in total

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Journal: Nature Date: 1983 Aug 18-24 Impact factor: 49.962

7. A human MAP kinase interactome.

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Journal: Nat Methods Date: 2010-10 Impact factor: 28.547

8. Single cell profiling of potentiated phospho-protein networks in cancer cells.

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9. Invasive three-dimensional organotypic neoplasia from multiple normal human epithelia.

Authors: Todd W Ridky; Jennifer M Chow; David J Wong; Paul A Khavari
Journal: Nat Med Date: 2010-11-21 Impact factor: 53.440

10. COT drives resistance to RAF inhibition through MAP kinase pathway reactivation.

Authors: Cory M Johannessen; Jesse S Boehm; So Young Kim; Sapana R Thomas; Leslie Wardwell; Laura A Johnson; Caroline M Emery; Nicolas Stransky; Alexandria P Cogdill; Jordi Barretina; Giordano Caponigro; Haley Hieronymus; Ryan R Murray; Kourosh Salehi-Ashtiani; David E Hill; Marc Vidal; Jean J Zhao; Xiaoping Yang; Ozan Alkan; Sungjoon Kim; Jennifer L Harris; Christopher J Wilson; Vic E Myer; Peter M Finan; David E Root; Thomas M Roberts; Todd Golub; Keith T Flaherty; Reinhard Dummer; Barbara L Weber; William R Sellers; Robert Schlegel; Jennifer A Wargo; William C Hahn; Levi A Garraway
Journal: Nature Date: 2010-11-24 Impact factor: 49.962

86 in total

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Journal: J Biosci Date: 2015-10 Impact factor: 1.826

Review 2. Intracellular and intercellular signaling networks in cancer initiation, development and precision anti-cancer therapy: RAS acts as contextual signaling hub.

Authors: Peter Csermely; Tamás Korcsmáros; Ruth Nussinov
Journal: Semin Cell Dev Biol Date: 2016-07-06 Impact factor: 7.727

3. Mutation-induced protein interaction kinetics changes affect apoptotic network dynamic properties and facilitate oncogenesis.

Authors: Linjie Zhao; Tanlin Sun; Jianfeng Pei; Qi Ouyang
Journal: Proc Natl Acad Sci U S A Date: 2015-07-13 Impact factor: 11.205

4. The center for causal discovery of biomedical knowledge from big data.

Authors: Gregory F Cooper; Ivet Bahar; Michael J Becich; Panayiotis V Benos; Jeremy Berg; Jeremy U Espino; Clark Glymour; Rebecca Crowley Jacobson; Michelle Kienholz; Adrian V Lee; Xinghua Lu; Richard Scheines
Journal: J Am Med Inform Assoc Date: 2015-07-02 Impact factor: 4.497