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本文引用的文献

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Optimization and testing of mass spectral library search algorithms for compound identification.化合物鉴定的质谱文库搜索算法的优化和测试。
J Am Soc Mass Spectrom. 1994 Sep;5(9):859-66. doi: 10.1016/1044-0305(94)87009-8.
2
Proposed minimum reporting standards for chemical analysis Chemical Analysis Working Group (CAWG) Metabolomics Standards Initiative (MSI).化学分析最低报告标准建议 化学分析工作组(CAWG)代谢组学标准倡议(MSI)
Metabolomics. 2007 Sep;3(3):211-221. doi: 10.1007/s11306-007-0082-2.
3
Inter-laboratory reproducibility of fast gas chromatography-electron impact-time of flight mass spectrometry (GC-EI-TOF/MS) based plant metabolomics.基于快速气相色谱-电子轰击-飞行时间质谱(GC-EI-TOF/MS)的植物代谢组学的实验室间重现性
Metabolomics. 2009 Dec;5(4):479-496. doi: 10.1007/s11306-009-0169-z. Epub 2009 Jul 24.
4
How large is the metabolome? A critical analysis of data exchange practices in chemistry.代谢组有多大?化学领域数据交换实践的批判性分析。
PLoS One. 2009;4(5):e5440. doi: 10.1371/journal.pone.0005440. Epub 2009 May 5.
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Quality control for plant metabolomics: reporting MSI-compliant studies.植物代谢组学的质量控制:报告符合质谱成像标准的研究。
Plant J. 2008 Feb;53(4):691-704. doi: 10.1111/j.1365-313X.2007.03387.x.
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Gene annotation and pathway mapping in KEGG.基因注释与KEGG中的通路映射。
Methods Mol Biol. 2007;396:71-91. doi: 10.1007/978-1-59745-515-2_6.
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SetupX--a public study design database for metabolomic projects.SetupX——一个用于代谢组学项目的公共研究设计数据库。
Pac Symp Biocomput. 2007:169-80.
8
Development of a database of gas chromatographic retention properties of organic compounds.有机化合物气相色谱保留特性数据库的开发。
J Chromatogr A. 2007 Jul 20;1157(1-2):414-21. doi: 10.1016/j.chroma.2007.05.044. Epub 2007 May 18.
9
Estimation of Kováts retention indices using group contributions.使用基团贡献法估算科瓦茨保留指数。
J Chem Inf Model. 2007 May-Jun;47(3):975-80. doi: 10.1021/ci600548y. Epub 2007 Mar 17.
10
The scaffold tree--visualization of the scaffold universe by hierarchical scaffold classification.支架树——通过分层支架分类对支架全域进行可视化
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FiehnLib:基于四极杆和飞行时间气相色谱/质谱的代谢组学质谱和保留指数库。

FiehnLib: mass spectral and retention index libraries for metabolomics based on quadrupole and time-of-flight gas chromatography/mass spectrometry.

机构信息

University of California Davis, Genome Center, Davis, California 95616, USA.

出版信息

Anal Chem. 2009 Dec 15;81(24):10038-48. doi: 10.1021/ac9019522.

DOI:10.1021/ac9019522
PMID:19928838
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2805091/
Abstract

At least two independent parameters are necessary for compound identification in metabolomics. We have compiled 2 212 electron impact mass spectra and retention indices for quadrupole and time-of-flight gas chromatography/mass spectrometry (GC/MS) for over 1000 primary metabolites below 550 Da, covering lipids, amino acids, fatty acids, amines, alcohols, sugars, amino-sugars, sugar alcohols, sugar acids, organic phosphates, hydroxyl acids, aromatics, purines, and sterols as methoximated and trimethylsilylated mass spectra under electron impact ionization. Compounds were selected from different metabolic pathway databases. The structural diversity of the libraries was found to be highly overlapping with metabolites represented in the BioMeta/KEGG pathway database using chemical fingerprints and calculations using Instant-JChem. In total, the FiehnLib libraries comprised 68% more compounds and twice as many spectra with higher spectral diversity than the public Golm Metabolite Database. A range of unique compounds are present in the FiehnLib libraries that are not comprised in the 4345 trimethylsilylated spectra of the commercial NIST05 mass spectral database. The libraries can be used in conjunction with GC/MS software but also support compound identification in the public BinBase metabolomic database that currently comprises 5598 unique mass spectra generated from 19,032 samples covering 279 studies of 47 species (plants, animals, and microorganisms).

摘要

代谢组学中化合物的鉴定至少需要两个独立的参数。我们编译了超过 1000 种小于 550 Da 的一级代谢物的 2212 个电子轰击质谱和四极杆和飞行时间气相色谱/质谱(GC/MS)的保留指数,涵盖了脂类、氨基酸、脂肪酸、胺、醇、糖、氨基糖、糖醇、糖酸、有机磷酸盐、羟基酸、芳香族化合物、嘌呤和固醇,作为电喷雾电离下的甲氧胺化和三甲基硅烷化质谱。化合物选自不同的代谢途径数据库。使用化学指纹图谱和 Instant-JChem 计算发现,文库的结构多样性与 BioMeta/KEGG 途径数据库中代表的代谢物高度重叠。总的来说,FiehnLib 文库比公共的 Golm 代谢物数据库包含的化合物多 68%,谱图多两倍,且谱图多样性更高。FiehnLib 文库中存在许多独特的化合物,这些化合物在商业 NIST05 质谱数据库的 4345 个三甲基硅烷化谱图中并不存在。这些文库可以与 GC/MS 软件一起使用,也可以支持公共 BinBase 代谢组学数据库中的化合物鉴定,该数据库目前包含 5598 个独特的质谱,这些质谱是从 19032 个样本中生成的,涵盖了 47 个物种(植物、动物和微生物)的 279 项研究。