National Institute of Standards and Technology, Hollings Marine Laboratory, 331 Ft. Johnson Road, Charleston, SC, 29412, USA.
Department of Chemistry, University of Florida, 214 Leigh Hall, Gainesville, FL, 32611, USA.
J Am Soc Mass Spectrom. 2017 Mar;28(3):562-565. doi: 10.1007/s13361-016-1579-6. Epub 2017 Jan 10.
Lipidomics, the comprehensive measurement of lipid species in a biological system, has promising potential in biomarker discovery and disease etiology elucidation. Advances in chromatographic separation, mass spectrometric techniques, and novel substrate applications continue to expand the number of lipid species observed. The total number and type of lipid species detected in a given sample are generally indicative of the sample matrix examined (e.g., serum, plasma, cells, bacteria, tissue, etc.). Current exact mass lipid libraries are static and represent the most commonly analyzed matrices. It is common practice for users to manually curate their own lists of lipid species and adduct masses; however, this process is time-consuming. LipidPioneer, an interactive template, can be used to generate exact masses and molecular formulas of lipid species that may be encountered in the mass spectrometric analysis of lipid profiles. Over 60 lipid classes are present in the LipidPioneer template and include several unique lipid species, such as ether-linked lipids and lipid oxidation products. In the template, users can add any fatty acyl constituents without limitation in the number of carbons or degrees of unsaturation. LipidPioneer accepts naming using the lipid class level (sum composition) and the LIPID MAPS notation for fatty acyl structure level. In addition to lipid identification, user-generated lipid m/z values can be used to develop inclusion lists for targeted fragmentation experiments. Resulting lipid names and m/z values can be imported into software such as MZmine or Compound Discoverer to automate exact mass searching and isotopic pattern matching across experimental data. Graphical Abstract ᅟ.
脂质组学是对生物体系中脂质种类进行全面测量的学科,在生物标志物发现和疾病发病机制阐明方面具有广阔的应用前景。色谱分离、质谱技术以及新型基质应用的进步,不断扩展了可观测到的脂质种类数量。在给定样本中检测到的脂质种类的总数和类型通常可以反映样本基质的情况(例如血清、血浆、细胞、细菌、组织等)。目前的精确质量脂质库是静态的,代表了最常分析的基质。用户通常会手动编辑自己的脂质种类和加合物质量列表,但是这个过程非常耗时。LipidPioneer 是一个交互式模板,可用于生成脂质谱质谱分析中可能遇到的脂质种类的精确质量和分子式。LipidPioneer 模板中包含 60 多种脂质类别,其中包括一些独特的脂质种类,如醚键连接的脂质和脂质氧化产物。在模板中,用户可以添加任何脂肪酸成分,而不受碳原子数或不饱和度的限制。LipidPioneer 接受使用脂质类别水平(总和组成)和 LIPID MAPS 表示法命名脂肪酸结构水平。除了脂质鉴定外,用户生成的脂质 m/z 值可用于开发靶向碎裂实验的包含列表。生成的脂质名称和 m/z 值可以导入 MZmine 或 Compound Discoverer 等软件中,以实现对实验数据的精确质量搜索和同位素模式匹配的自动化。