Mining DNA microarray data using a novel approach based on graph theory

FEBS Letters

del Rio, Gabriel³  Bartley, Theodore F¹  Bredesen, Dale E³  Rao, Rammohan³  Greenberg, David A³  Eshoo, Mark³  del-Rio, Heberto²  Jin, KunLin³ 

[1] Undergraduate student from the University of California, Santa Barbara, CA, USA;Centro de Investigaciones en Matemáticas, CIMAT, Guanajuato, Guanajuato, Mexico;The Buck Institute for Age Research, 8001 Redwood Blvd., Novato, CA 94945, USA

关键词: Functional genomics;    DNA microarray;    Graph theory;    Yeast cell cycle;    Yeast metabolism;    Cerebral ischemia;   

DOI  :  10.1016/S0014-5793(01)03165-9

学科分类：生物化学/生物物理

来源: John Wiley & Sons Ltd.

【 摘 要 】

The recent demonstration that biochemical pathways from diverse organisms are arranged in scale-free, rather than random, systems [Jeong et al., Nature 407 (2000) 651–654], emphasizes the importance of developing methods for the identification of biochemical nexuses – the nodes within biochemical pathways that serve as the major input/output hubs, and therefore represent potentially important targets for modulation. Here we describe a bioinformatics approach that identifies candidate nexuses for biochemical pathways without requiring functional gene annotation; we also provide proof-of-principle experiments to support this technique. This approach, called Nexxus, may lead to the identification of new signal transduction pathways and targets for drug design.

【 授权许可】

Unknown