title: Inferring biological functions of guanylyl cyclases with computational methods.
abstract: A number of studies have shown that functionally related genes are often co-expressed and that computational based co-expression analysis can be used to accurately identify functional relationships between genes and by inference, their encoded proteins. Here we describe how a computational based co-expression analysis can be used to link the function of a specific gene of interest to a defined cellular response. Using a worked example we demonstrate how this methodology is used to link the function of the Arabidopsis Wall-Associated Kinase-Like 10 gene, which encodes a functional guanylyl cyclase, to host responses to pathogens.
authors.affiliation: Division of Chemical and Life Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
authors.forename: May
authors.initials: M
authors.lastname: Alqurashi
authors.forename: Stuart
authors.initials: S
authors.lastname: Meier
mesh_terms: D017360:Arabidopsis / Q000201:enzymology* / Q000235:genetics; D029681:Arabidopsis Proteins / Q000235:genetics / Q000378:metabolism; D019295:Computational Biology / Q000379:methods*; D020869:Gene Expression Profiling; D018506:Gene Expression Regulation, Plant; D063990:Gene Ontology; D006162:Guanylate Cyclase / Q000378:metabolism*; D011401:Promoter Regions, Genetic / Q000235:genetics
chemical_list: D029681:Arabidopsis Proteins; D006162:Guanylate Cyclase