Capture and analysis of quantitative proteomic data

被引:34
作者
Lau, King Wai
Jones, Andrew R.
Swainston, Neil
Siepen, Jennifer A.
Hubbard, Simon J. [1 ]
机构
[1] Univ Manchester, Fac Life Sci, Manchester M13 9PT, Lancs, England
[2] Univ Manchester, Sch Chem, MBCMS, Manchester Interdisciplinary Bioctr, Manchester, Lancs, England
[3] Univ Manchester, Sch Comp Sci, Fac Engn & Phys Sci, Manchester, Lancs, England
[4] Univ Manchester, Manchester Interdisciplinary Bioctr, Manchester Ctr Integrat Syst Biol, Manchester, Lancs, England
基金
英国生物技术与生命科学研究理事会;
关键词
absolute quantitation; bioinformatics; data standards; relative quantitation; software;
D O I
10.1002/pmic.200700127
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:2787 / 2799
页数:13
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