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Metabolomics: the chemistry between ecology and genetics 总被引:1,自引:0,他引:1
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Rocke DM 《Seminars in cell & developmental biology》2004,15(6):703-713
The design and analysis of experiments using gene expression microarrays is a topic of considerable current research, and work is beginning to appear on the analysis of proteomics and metabolomics data by mass spectrometry and NMR spectroscopy. The literature in this area is evolving rapidly, and commercial software for analysis of array or proteomics data is rarely up to date, and is essentially nonexistent for metabolomics data. In this paper, I review some of the issues that should concern any biologists planning to use such high-throughput biological assay data in an experimental investigation. Technical details are kept to a minimum, and may be found in the referenced literature, as well as in the many excellent papers which space limitations prevent my describing. There are usually a number of viable options for design and analysis of such experiments, but unfortunately, there are even more non-viable ones that have been used even in the published literature. This is an area in which up-to-date knowledge of the literature is indispensable for efficient and effective design and analysis of these experiments. In general, we concentrate on relatively simple analyses, often focusing on identifying differentially expressed genes and the comparable issues in mass spectrometry and NMR spectroscopy (consistent differences in peak heights or areas for example). Complex multivariate and pattern recognition methods also need much attention, but the issues we describe in this paper must be dealt with first. The literature on analysis of proteomics and metabolomics data is as yet sparse, so the main focus of this paper will be on methods devised for analysis of gene expression data that generalize to proteomics and metabolomics, with some specific comments near the end on analysis of metabolomics data by mass spectrometry and NMR spectroscopy. 相似文献
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生物组学在污染环境微生物修复研究中的应用 总被引:1,自引:0,他引:1
随着分子生物学、生物信息学和各种理化检测技术的发展,特别是人类基因组计划成功实施以来,基因组学研究取得了重大突破与进展。而包括转录组学、蛋白组学和代谢组学在内的后基因组学也相继出现,并被广泛应用在环境微生物学的各个研究领域。本文主要概述了当前基因组学、转录组学、蛋白质组学和代谢组学在污染环境生物修复研究中的最新研究进展,分析比较了各组学的优势与不足,同时结合本课题组的主要研究方向探讨了各生物组学在赤潮生消过程和有机污染物降解机理等研究中的应用。 相似文献