Science, marketing and wishful thinking in quantitative proteomics
Science, marketing and wishful thinking in quantitative proteomics
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DOI：
10.1002/pmic.200800358
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发表时间：
2008-11-01
期刊：
影响因子：
3.4
通讯作者：
Hackett, Murray
中科院分区：
文献类型：
--
作者：
Hackett, Murray
在最近的一篇社论（J.Proteome Res.2007，6，1633）和其他地方，已经提出了关于在蛋白质组学中报告定量结果方面缺乏对良好分析实践的关注的问题。使用这些意见作为出发点，几个问题进行了讨论，涉及到实现充分的采样与MS为基础的方法，以产生有效的数据，大规模的研究所涉及的挑战。讨论涉及的关系，连接采样深度和检测蛋白质丰度变化的能力，利益冲突，以及克服官僚障碍，阻碍使用点对点技术传输和存储在这样的实验中产生的大数据文件的策略。
In a recent editorial (J. Proteome Res. 2007, 6, 1633) and elsewhere questions have been raised regarding the lack of attention paid to good analytical practice with respect to the reporting of quantitative results in proteomics. Using those comments as a starting point, several issues are discussed that relate to the challenges involved in achieving adequate sampling with MS-based methods in order to generate valid data for large-scale studies. The discussion touches on the relationships that connect sampling depth and the power to detect protein abundance change, conflict of interest, and strategies to overcome bureaucratic obstacles that impede the use of peer-to-peer technologies for transfer and storage of large data files generated in such experiments.