Inventories to insights

Abstract

"In the long course of cell life on this earth it remained, for our age, for our generation, to receive the full ownership of our inheritance. We have entered the cell, the Mansion of our birth and started the inventory of our acquired wealth." (Albert Claude, Nobel lecture, 1974).

Figure 1.

Identification of regulatory pathways using network graphing and simulated annealing methods. Shown is the network of interacting molecules implicated in galactose utilization in yeast. Each node (gene/protein) is colored based on the significance of its expression change (z-score) in an experiment comparing mRNA levels in a wild-type strain and a gal80 mutant. Higher z-scores indicate higher significance of change, either up or down. Simulated annealing methods were used to identify subnetworks (indicated by colored node borders and edges) with high aggregate z-scores. Note that the GAL module, including GAL80, is part of a high-scoring subnetwork. This figure was reprinted from Ideker et al., Discovering regulatory signalling circuits in molecular interaction networks, Bioinformatics, 2002, Vol. 18, pg. S233–S240 by permission of Oxford University Press.