title: Study of proteome maps using partial ordering.
abstract: This paper describes numerical characterization of proteome maps based on partial ordering of protein spots with respect to the mass and the charge. The partial ordering diagram is embedded directly over the 2D map and the corresponding adjacency matrix is constructed. The adjacency matrix is augmented by including the information on the abundance of proteins in a gel as suitably scaled diagonal entries of the matrix. The approach is illustrated on proteome maps of Anderson et al. (1996) based on experimental results from liver cells of rats exposed to four peroxisome proliferators. We used the leading eigenvectors of the adjacency matrices as maps descriptors in order to determine the degree of similarity between proteome maps.
authors.affiliation: National Institute of Chemistry, Hajdrihova 19, SI-1000, Ljubljana, Slovenia. mrandic@msn.com
authors.forename: Milan
authors.initials: M
authors.lastname: Randić
authors.forename: Marjana
authors.initials: M
authors.lastname: Novic
authors.forename: Marjan
authors.initials: M
authors.lastname: Vracko
authors.forename: Dejan
authors.initials: D
authors.lastname: Plavsić
mesh_terms: D000465:Algorithms; D000818:Animals; D015180:Electrophoresis, Gel, Two-Dimensional; D015870:Gene Expression / Q000187:drug effects; D008099:Liver / Q000187:drug effects / Q000378:metabolism; D008970:Molecular Weight; D020025:Peroxisome Proliferators / Q000494:pharmacology; D020543:Proteome / Q000737:chemistry / Q000378:metabolism*; D040901:Proteomics / Q000379:methods*; D051381:Rats; D055672:Static Electricity
chemical_list: D020025:Peroxisome Proliferators; D020543:Proteome