Urbanczyk-Wochniak Ewa, Luedemann Alexander, Kopka Joachim, Selbig Joachim, Roessner-Tunali Ute, Willmitzer Lothar, Fernie Alisdair R
Max-Planck-Institut für Molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476 Golm, Germany.
EMBO Rep. 2003 Oct;4(10):989-93. doi: 10.1038/sj.embor.embor944. Epub 2003 Sep 12.
The past few years in the medical and biological sciences have been characterized by the advent of systems biology. However, despite the well-known connectivity between the molecules described by transcriptomic, proteomic and metabolomic approaches, few studies have tried to correlate parameters across the various levels of systemic description. When comparing the discriminatory power of metabolic and RNA profiling to distinguish between different potato tuber systems, using the techniques described here suggests that metabolic profiling has a higher resolution than expression profiling. When applying pairwise transcript-metabolite correlation analyses, 571 of the 26,616 possible pairs showed significant correlation, most of which was novel and included several strong correlations to nutritionally important metabolites. We believe this approach to be of high potential value in the identification of candidate genes for modifying the metabolite content of biological systems.
在过去几年中，医学和生物科学领域的特点是系统生物学的出现。然而，尽管转录组学、蛋白质组学和代谢组学方法所描述的分子之间存在着众所周知的关联性，但很少有研究尝试将不同系统层面的参数进行关联。当比较代谢谱和RNA谱区分不同马铃薯块茎系统的鉴别能力时，使用本文所述技术表明代谢谱比表达谱具有更高的分辨率。在进行成对转录本-代谢物相关性分析时，26616个可能的配对中有571个显示出显著相关性，其中大部分是新发现的，并且包括与营养重要代谢物的几个强相关性。我们认为这种方法在鉴定用于修饰生物系统代谢物含量的候选基因方面具有很高的潜在价值。
