Development and quantitative evaluation of a high-resolution metabolomics technology.
Development and quantitative evaluation of a high-resolution metabolomics technology.
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DOI：
10.1021/ac403845u
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发表时间：
2014-02-18
影响因子：
7.4
通讯作者：
Locasale, Jason W.
中科院分区：
文献类型：
--
作者：
Liu, Xiaojing;Ser, Zheng;Locasale, Jason W.
质谱法的最新进展使人类代谢及其对疾病的贡献得到了前所未有的表征。尽管取得了这些进展，但代谢组学技术的局限性仍然存在。在这里，我们描述了一种代谢组学策略，巩固了质谱技术的几个最新进展。该平台包括一个高分辨率的轨道阱质谱仪，与更快的扫描速度相结合，允许极性切换和改进的离子光学，从而提高灵敏度。当耦合到HILIC色谱，我们能够定量超过339代谢物的HCT 8细胞提取物的线性范围超过4个数量级，在一个单一的色谱运行。这些代谢物包括从氨基酸到极性脂质的多种化学类别。此外，我们还检测到哺乳动物细胞中存在的3000多种其他潜在代谢物。我们应用这个平台来表征八种结直肠癌细胞系的代谢组，并观察了细胞在相同条件下生长时其代谢谱的共性和异质性。总之，这些结果表明，同时分析和定量的人代谢组是可行的。
Recent advances in mass spectrometry have allowed for unprecedented characterization of human metabolism and its contribution to disease. Despite these advances, limitations in metabolomics technology remain. Here, we describe a metabolomics strategy that consolidates several recent improvements in mass spectrometry technology. The platform involves a high-resolution Orbitrap mass spectrometer coupled to faster scanning speeds, allowing for polarity switching and improved ion optics resulting in enhanced sensitivity. When coupled to HILIC chromatography, we are able to quantify over 339 metabolites from an extract of HCT8 cells with a linear range of over 4 orders of magnitude in a single chromatographic run. These metabolites include diverse chemical classes ranging from amino acids to polar lipids. In addition, we also detect over 3000 additional potential metabolites present in mammalian cells. We applied this platform to characterize the metabolome of eight colorectal cancer cell lines and observed both commonalities and heterogeneities across their metabolic profiles when cells are grown in identical conditions. Together these results demonstrate that simultaneous profiling and quantitation of the human metabolome is feasible.
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DOI：
10.1126/science.1226603
发表时间：
2013-01-11
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Shyh-Chang N;Locasale JW;Lyssiotis CA;Zheng Y;Teo RY;Ratanasirintrawoot S;Zhang J;Onder T;Unternaehrer JJ;Zhu H;Asara JM;Daley GQ;Cantley LC
通讯作者：
Cantley LC
影响因子：
64.8
作者：
通讯作者：
--
DOI：
10.1074/mcp.m111.011015
发表时间：
2011-09
期刊：
Molecular & cellular proteomics : MCP
影响因子：
--
作者：
Michalski A;Damoc E;Hauschild JP;Lange O;Wieghaus A;Makarov A;Nagaraj N;Cox J;Mann M;Horning S
通讯作者：
Horning S
DOI：
10.1074/mcp.m111.013722
发表时间：
2012-03
期刊：
Molecular & cellular proteomics : MCP
影响因子：
--
作者：
Nagaraj N;Kulak NA;Cox J;Neuhauser N;Mayr K;Hoerning O;Vorm O;Mann M
通讯作者：
Mann M
DOI：
10.1007/978-1-62703-577-4_20
发表时间：
2013-01-01
期刊：
METABOLOMICS TOOLS FOR NATURAL PRODUCT DISCOVERY: METHODS AND PROTOCOLS
影响因子：
--
作者：
De Livera, Alysha M.;Olshansky, Moshe;Speed, Terence P.
通讯作者：
Speed, Terence P.