化学
NIST公司
代谢组学
代谢组
重复性
仿形(计算机编程)
代谢物
质谱法
气相色谱-质谱法
色谱法
再现性
人血浆
分析化学(期刊)
计算机科学
生物化学
操作系统
自然语言处理
作者
Yamil Simón‐Manso,Mark S. Lowenthal,Lisa E. Kilpatrick,Maureen Sampson,Kelly H. Telu,Paul A. Rudnick,W. Gary Mallard,Daniel W. Bearden,Tracey B. Schock,Dmitrii V. Tchekhovskoi,Nikša Blonder,Xinjian Yan,Yuxue Liang,Yufang Zheng,W.E. Wallace,P. Neta,Karen W. Phinney,Alan T. Remaley,Stephen E. Stein
出处
期刊:Analytical Chemistry
[American Chemical Society]
日期:2013-10-22
卷期号:85 (24): 11725-11731
被引量:273
摘要
Recent progress in metabolomics and the development of increasingly sensitive analytical techniques have renewed interest in global profiling, i.e., semiquantitative monitoring of all chemical constituents of biological fluids. In this work, we have performed global profiling of NIST SRM 1950, "Metabolites in Human Plasma", using GC-MS, LC-MS, and NMR. Metabolome coverage, difficulties, and reproducibility of the experiments on each platform are discussed. A total of 353 metabolites have been identified in this material. GC-MS provides 65 unique identifications, and most of the identifications from NMR overlap with the LC-MS identifications, except for some small sugars that are not directly found by LC-MS. Also, repeatability and intermediate precision analyses show that the SRM 1950 profiling is reproducible enough to consider this material as a good choice to distinguish between analytical and biological variability. Clinical laboratory data shows that most results are within the reference ranges for each assay. In-house computational tools have been developed or modified for MS data processing and interactive web display. All data and programs are freely available online at http://peptide.nist.gov/ and http://srmd.nist.gov/ .
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