title: Sources of Experimental Variation in 2-D Maps: The Importance of Experimental Design in Gel-Based Proteomics.
abstract: The success of proteomic studies employing 2-D maps largely depends on the way surveys and experiments have been organized and performed. Planning gel-based proteomic experiments involves the selection of equipment, methodology, treatments, types and number of samples, experimental layout, and methods for data analysis. A good experimental design will maximize the output of the experiment while taking into account the biological and technical resources available. In this chapter we provide guidelines to assist proteomics researchers in all these choices and help them to design quantitative 2-DE experiments.
authors.affiliation: Department of Behavioural Ecology & Evolutionary Genetics, Max Planck Institute for Ornithology, Eberhard-Gwinner-Str. 8, 82319, Seewiesen, Germany.
authors.forename: Cristina-Maria
authors.initials: CM
authors.lastname: Valcu
authors.affiliation: Department of Behavioural Ecology & Evolutionary Genetics, Max Planck Institute for Ornithology, Eberhard-Gwinner-Str. 8, 82319, Seewiesen, Germany.
authors.forename: Mihai
authors.initials: M
authors.lastname: Valcu
mesh_terms: D015180:Electrophoresis, Gel, Two-Dimensional / Q000379:methods*; D040901:Proteomics / Q000379:methods*; D012107:Research Design; D013048:Specimen Handling
keywords: Biological variation; Optimal sample size; Power analysis; Replication; Sample pools; Sampling; Technical variation