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Practical non-targeted gas chromatography/mass spectrometry-based metabolomics platform for metabolic phenotype analysis

机译:实用的非靶向气相色谱/质谱法代谢组学平台,用于代谢表型分析

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Gas chromatography coupled to mass spectrometry (GC/MS) is a core analytical method for metabolomics and has been used as a platform in non-targeted analysis, especially for hydrophilic metabolites. Non-targeted GC/MS-based metabolomics generally requires a high-throughput technology to handle a large volume of samples and an accumulated database (reference library) of the retention times and mass spectra of standard compounds for accurate peak identification. In this study, we provide a practical GC/ MS platform and an auto peak identification technique that is not restricted to certain types of mass spectrometers. The platform utilizes a quadrupole mass spectrometer capable of high-speed scanning, resulting in greater output compared with Pegasus GC-time of flight (TOF)/MS, which has been an essential instrument for high-throughput experiments. Moreover, we show that our reference library is broadly applicable to other instruments; peak identification can be readily performed using the library without constructing a reference resource. The usefulness and versatility of our system are demonstrated by the analyses of three experimental metabolomics data sets, including standard mixtures and real biological samples.
机译:气相色谱-质谱联用(GC / MS)是代谢组学的核心分析方法,已用作非目标分析的平台,尤其是亲水性代谢物。非靶向的基于GC / MS的代谢组学通常需要高通量技术来处理大量样品,并需要保留标准化合物的保留时间和质谱图的累积数据库(参考库),才能准确鉴定峰。在这项研究中,我们提供了一个实用的GC / MS平台和自动峰识别技术,该技术不限于某些类型的质谱仪。该平台采用了能够进行高速扫描的四极质谱仪,与飞马GC飞行时间(TOF)/ MS相比,它的输出更大,飞马GC / TOF / MS是进行高通量实验的重要仪器。此外,我们表明我们的参考库可广泛应用于其他工具;使用该库可轻松执行峰识别,而无需构建参考资源。通过分析三个实验代谢组学数据集(包括标准混合物和真实生物样品),证明了我们系统的实用性和多功能性。

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