title: Impact of replicate types on proteomic expression analysis.
abstract: In expression proteomics, the samples utilized within an experimental design may include technical, biological, or pooled replicates. This manuscript discusses various experimental designs and the conclusions that can be drawn from them. Specifically, it addresses the impact of mixing replicate types on the statistical analysis which can be performed. This study focuses on difference gel electrophoresis (DiGE), but the issues are equally applicable to all quantitative methodologies assessing relative changes in protein expression.
authors.affiliation: Biochemistry Department, University of Cambridge, Cambridge, England, UK.
authors.forename: Natasha A
authors.initials: NA
authors.lastname: Karp
authors.forename: Matthew
authors.initials: M
authors.lastname: Spencer
authors.forename: Helen
authors.initials: H
authors.lastname: Lindsay
authors.forename: Kevin
authors.initials: K
authors.lastname: O'Dell
authors.forename: Kathryn S
authors.initials: KS
authors.lastname: Lilley
mesh_terms: D000704:Analysis of Variance; D000818:Animals; D003627:Data Interpretation, Statistical; D004331:Drosophila melanogaster; D015180:Electrophoresis, Gel, Two-Dimensional / Q000379:methods; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation; D007477:Ions; D015233:Models, Statistical; D008962:Models, Theoretical; D020125:Mutation, Missense; D020411:Oligonucleotide Array Sequence Analysis; D040081:Protein Array Analysis; D020543:Proteome; D040901:Proteomics / Q000379:methods*; D012984:Software
chemical_list: D007477:Ions; D020543:Proteome