Chemical Sciences Division, Marine Biochemical Sciences Group, Hollings Marine Laboratory, National Institute of Standards and Technology , 331 Fort Johnson Road, Charleston, South Carolina 29412, United States.
Department of Chemistry, University of Florida , 125 Buckman Drive, Gainesville, Florida 32611, United States.
Anal Chem. 2017 Dec 19;89(24):13069-13073. doi: 10.1021/acs.analchem.7b04042. Epub 2017 Dec 1.
As advances in analytical separation techniques, mass spectrometry instrumentation, and data processing platforms continue to spur growth in the lipidomics field, more structurally unique lipid species are detected and annotated. The lipidomics community is in need of benchmark reference values to assess the validity of various lipidomics workflows in providing accurate quantitative measurements across the diverse lipidome. LipidQC addresses the harmonization challenge in lipid quantitation by providing a semiautomated process, independent of analytical platform, for visual comparison of experimental results of National Institute of Standards and Technology Standard Reference Material (SRM) 1950, "Metabolites in Frozen Human Plasma", against benchmark consensus mean concentrations derived from the NIST Lipidomics Interlaboratory Comparison Exercise.
随着分析分离技术、质谱仪器和数据处理平台的不断进步,脂质组学领域得到了飞速发展,越来越多结构独特的脂质种类被检测和注释出来。脂质组学领域需要基准参考值来评估各种脂质组学工作流程在提供整个脂质组学中准确定量测量方面的有效性。LipidQC 通过提供一种半自动化的流程来解决脂质定量方面的协调问题,该流程不依赖于分析平台,可以将美国国家标准与技术研究院(NIST)标准参考物质(SRM)1950“冷冻人血浆中的代谢物”的实验结果与 NIST 脂质组学实验室间比较实验得出的基准共识平均值进行可视化比较。