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Metabolomics approach for determining growth-specific metabolites based on Fourier transform ion cyclotron resonance mass spectrometry

机译:基于傅立叶变换离子回旋共振质谱的代谢组学方法确定生长特异性代谢物

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摘要

Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR/MS) is the best MS technology for obtaining exact mass measurements owing to its great resolution and accuracy, and several outstanding FT-ICR/MS-based metabolomics approaches have been reported. A reliable annotation scheme is needed to deal with direct-infusion FT-ICR/MS metabolic profiling. Correlation analyses can help us not only uncover relations between the ions but also annotate the ions originated from identical metabolites (metabolite derivative ions). In the present study, we propose a procedure for metabolite annotation on direct-infusion FT-ICR/MS by taking into consideration the classification of metabolite-derived ions using correlation analyses. Integrated analysis based on information of isotope relations, fragmentation patterns by MS/MS analysis, co-occurring metabolites, and database searches (KNApSAcK and KEGG) can make it possible to annotate ions as metabolites and estimate cellular conditions based on metabolite composition. A total of 220 detected ions were classified into 174 metabolite derivative groups and 72 ions were assigned to candidate metabolites in the present work. Finally, metabolic profiling has been able to distinguish between the growth stages with the aid of PCA. The constructed model using PLS regression for OD600 values as a function of metabolic profiles is very useful for identifying to what degree the ions contribute to the growth stages. Ten phospholipids which largely influence the constructed model are highly abundant in the cells. Our analyses reveal that global modification of those phospholipids occurs as E. coli enters the stationary phase. Thus, the integrated approach involving correlation analyses, metabolic profiling, and database searching is efficient for high-throughput metabolomics.Electronic supplementary materialThe online version of this article (doi:10.1007/s00216-008-2195-5) contains supplementary material, which is available to authorized users.
机译:傅立叶变换离子回旋共振质谱(FT-ICR / MS)由于其高分辨率和准确性而成为获得精确质量测量的最佳MS技术,并且已报道了几种基于FT-ICR / MS的杰出代谢组学方法。需要一种可靠的注释方案来处理直接输注FT-ICR / MS代谢概况分析。相关性分析不仅可以帮助我们揭示离子之间的关系,还可以注释来自相同代谢物(代谢物衍生离子)的离子。在本研究中,我们通过考虑相关分析对代谢物衍生离子的分类,提出了直接注入FT-ICR / MS上代谢物注释的程序。基于同位素关系信息的综合分析,MS / MS分析的碎片模式,共生代谢物以及数据库搜索(KNApSAcK和KEGG),可以将离子注释为代谢物,并根据代谢物成分估算细胞状况。在本工作中,将总共检测到的220个离子分类为174个代谢物衍生物组,并将72个离子分配给了候选代谢物。最后,借助PCA,代谢谱分析已能够区分生长阶段。使用OD600值作为代谢谱函数的PLS回归构建的模型对于确定离子在多大程度上有助于生长阶段非常有用。在细胞中,十种磷脂对构建模型的影响很大。我们的分析表明,随着大肠杆菌进入固定相,这些磷脂会发生整体修饰。因此,涉及相关分析,代谢谱分析和数据库搜索的整合方法对于高通量代谢组学是有效的。电子补充材料本文的在线版本(doi:10.1007 / s00216-008-2195-5)包含补充材料,其中可供授权用户使用。

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