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TarMet:一个用于高效、准确地定量基于 MS 的靶向代谢和稳定同位素示踪剂分析的反应式 GUI 工具。

TarMet: a reactive GUI tool for efficient and confident quantification of MS based targeted metabolic and stable isotope tracer analysis.

机构信息

College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, People's Republic of China.

出版信息

Metabolomics. 2018 May 8;14(5):68. doi: 10.1007/s11306-018-1363-7.

Abstract

INTRODUCTION

Untargeted and targeted analyses are two classes of metabolic study. Both strategies have been advanced by high resolution mass spectrometers coupled with chromatography, which have the advantages of high mass sensitivity and accuracy. State-of-art methods for mass spectrometric data sets do not always quantify metabolites of interest in a targeted assay efficiently and accurately.

OBJECTIVES

TarMet can quantify targeted metabolites as well as their isotopologues through a reactive and user-friendly graphical user interface.

METHODS

TarMet accepts vendor-neutral data files (NetCDF, mzXML and mzML) as inputs. Then it extracts ion chromatograms, detects peak position and bounds and confirms the metabolites via the isotope patterns. It can integrate peak areas for all isotopologues automatically.

RESULTS

TarMet detects more isotopologues and quantify them better than state-of-art methods, and it can process isotope tracer assay well.

CONCLUSION

TarMet is a better tool for targeted metabolic and stable isotope tracer analyses.

摘要

简介

非靶向分析和靶向分析是两类代谢组学研究方法。这两种策略都得到了与色谱法相结合的高分辨率质谱仪的推进,高分辨率质谱仪具有高质量灵敏度和准确性的优点。最先进的质谱数据集方法并不总是能够有效地和准确地定量靶向分析中感兴趣的代谢物。

目的

TarMet 通过一个反应灵敏和用户友好的图形用户界面,不仅可以定量靶向代谢物,还可以定量其同位素。

方法

TarMet 接受供应商中立的数据文件(NetCDF、mzXML 和 mzML)作为输入。然后,它提取离子色谱图,检测峰位置和边界,并通过同位素模式确认代谢物。它可以自动对所有同位素的峰面积进行积分。

结果

TarMet 比最先进的方法检测到更多的同位素,并能更好地对其进行定量,并且它可以很好地处理同位素示踪剂分析。

结论

TarMet 是用于靶向代谢组学和稳定同位素示踪分析的更好工具。

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