Gillette Michael A, Mani D R, Carr Steven A
The Broad Institute of MIT and Harvard, 320 Charles Street, Cambridge, MA 02141, USA.
J Proteome Res. 2005 Jul-Aug;4(4):1143-54. doi: 10.1021/pr0500962.
The role of pattern in biomarker discovery and clinical diagnosis is examined in its historical context. The use of MS-derived pattern is treated as a logical extension of prior applications of non-MS-derived pattern. Criticisms pertaining to specific technology platforms and analytic methodologies are considered separately from the larger issues of pattern utility and deployment in biomarker discovery. We present a hybrid strategy that marries the desirable attributes of high-information content MS pattern with the capability to obtain identity, and explore the key steps in establishing a data analysis pipeline for pattern-based biomarker discovery.
本文从历史背景角度审视了模式在生物标志物发现和临床诊断中的作用。质谱衍生模式的应用被视为非质谱衍生模式先前应用的合理延伸。与特定技术平台和分析方法相关的批评与模式在生物标志物发现中的效用和应用等更广泛问题分开考虑。我们提出了一种混合策略，将高信息含量质谱模式的理想属性与获取身份的能力相结合，并探索了建立基于模式的生物标志物发现数据分析流程的关键步骤。
