Systems approaches to understanding cell signaling and gene regulation.
The age of 'omics' is upon us, and scientific papers that reflect this are starting to appear at an ever-increasing rate. The amount of information generated in any 'omics' program is daunting and often overwhelms plant scientists whose main interests relate to cell or developmental biology. For this revolution in data generation to have any impact in plant signaling studies, we must have great confidence in both the quality of the data and our ability to represent it in ways that are meaningful to general plant biologists. Systems biology has begun to address these issues and to provide examples in which the analysis of large data sets has led to biological insights into cell signaling and gene regulation.
Provart
Nicholas J
NJ
Department of Botany, University of Toronto, 25 Willcocks Street, Toronto, Ontario M5S 3B2, Canada.
McCourt
Peter
P
D017360:Arabidopsis / Q000235:genetics / Q000378:metabolism; D030541:Databases, Genetic; D018506:Gene Expression Regulation, Plant; D046228:Microarray Analysis; D010944:Plants / Q000235:genetics / Q000378:metabolism*; D040901:Proteomics; D015398:Signal Transduction; D049490:Systems Biology