Quantitative characterizations of proteome: dependence on the number of proteins considered.
We consider the sensitivity of numerical characterizations of proteome on the number of proteins considered in the analysis. We examined data on proteomics maps belonging to the liver cells of mice subject to four proliferators. We varied the number of proteins considered for quantitative analysis from 25 up to 1000 proteins. For each case, we have compared the similarity/dissimilarity results when different number of proteins has been considered. We found that proteins maps based on a set of about 300 most abundant proteins spots suffice for satisfactory numerical characterization of corresponding proteome.
Randić
Milan
M
National Institute of Chemistry, Ljubljana, Slovenia. mrandic@msn.com
D000818:Animals; D002210:Caprylates / Q000494:pharmacology; D002994:Clofibrate / Q000494:pharmacology; D003652:Decanoic Acids / Q000494:pharmacology; D004051:Diethylhexyl Phthalate / Q000494:pharmacology; D005466:Fluorocarbons / Q000494:pharmacology; D022781:Hepatocytes / Q000187:drug effects; D051379:Mice; D010449:Peptide Mapping / Q000706:statistics & numerical data; D020025:Peroxisome Proliferators / Q000494:pharmacology; D020543:Proteome / Q000032:analysis*; D040901:Proteomics / Q000379:methods*; D012680:Sensitivity and Specificity
D002210:Caprylates; D003652:Decanoic Acids; D005466:Fluorocarbons; D020025:Peroxisome Proliferators; D020543:Proteome; C036567:perfluorodecanoic acid; C023036:perfluorooctanoic acid; D004051:Diethylhexyl Phthalate; D002994:Clofibrate