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Genetic Interaction Network

STKE  10 Feb 2004:
Vol. 2004, Issue 219, pp. tw55
DOI: 10.1126/stke.2192004TW55

Understanding the topology of genetic networks and their functional order may enable human geneticists to develop new approaches for identifying disease genes associated with complex traits. Tong et al. (see the Perspective by Hartwell) have used double mutants to examine the network of genetic interactions in yeast. The yeast genetic network appeared to have 5 to 10 times the complexity of the protein interaction network, although it also followed a power law distribution and exhibited small-world properties. The position and connectivity of a gene within the network made it possible to predict molecular roles for previously uncharacterized genes that were supported by experimental data.

A. H. Y. Tong, G. Lesage, G. D. Bader, H. Ding, H. Xu, X. Xin, J. Young, G. F. Berriz, R. L. Brost, M. Chang, Y. Chen, X. Cheng, G. Chua, H. Friesen, D. S. Goldberg, J. Haynes, C. Humphries, G. He, S. Hussein, L. Ke, N. Krogan, Z. Li, J. N. Levinson, H. Lu, P. Ménard, C. Munyana, A. B. Parsons, O. Ryan, R. Tonikian, T. Roberts, A.-M. Sdicu, J. Shapiro, B. Sheikh, B. Suter, S. L. Wong, L. V. Zhang, H. Zhu, C. G. Burd, S. Munro, C. Sander, J. Rine, J. Greenblatt, M. Peter, A. Bretscher, G. Bell, F. P. Roth, G. W. Brown, B. Andrews, H. Bussey, C. Boone, Global mapping of the yeast genetic interaction network. Science 303, 808-813 (2004). [Abstract] [Full Text]

L. Hartwell, Robust interactions. Science 303, 774-775 (2004). [Summary] [Full Text]

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