title: Capture and analysis of quantitative proteomic data.
abstract: Whilst the array of techniques available for quantitative proteomics continues to grow, the attendant bioinformatic software tools are similarly expanding in number. The data capture and analysis of such quantitative data is obviously crucial to the experiment and the methods used to process it will critically affect the quality of the data obtained. These tools must deal with a variety of issues, including identification of labelled and unlabelled peptide species, location of the corresponding MS scans in the experiment, construction of representative ion chromatograms, location of the true peptide ion chromatogram start and end, elimination of background signal in the mass spectrum and chromatogram and calculation of both peptide and protein ratios/abundances. A variety of tools and approaches are available, in part restricted by the nature of the experiment to be performed and available instrumentation. Currently, although there is no single consensus on precisely how to calculate protein and peptide abundances, many common themes have emerged which identify and reduce many of the key sources of error. These issues will be discussed, along with those relating to deposition of quantitative data. At present, mature data standards for quantitative proteomics are not yet available, although formats are beginning to emerge.
authors.affiliation: Faculty of Life Sciences, University of Manchester, Manchester, UK.
authors.forename: King Wai
authors.initials: KW
authors.lastname: Lau
authors.forename: Andrew R
authors.initials: AR
authors.lastname: Jones
authors.forename: Neil
authors.initials: N
authors.lastname: Swainston
authors.forename: Jennifer A
authors.initials: JA
authors.lastname: Siepen
authors.forename: Simon J
authors.initials: SJ
authors.lastname: Hubbard
mesh_terms: D040901:Proteomics; D012015:Reference Standards; D012984:Software