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氘氧化标记用于全局组学相对定量:在脂质组学中的应用。

Deuterium Oxide Labeling for Global Omics Relative Quantification: Application to Lipidomics.

机构信息

School of Earth Sciences and Environmental Engineering , Gwangju Institute of Science and Technology , Gwangju 61005 , Republic of Korea.

Center for Bioanalysis, Division of Chemical and Medical Metrology , Korea Research Institute of Standards and Science , Daejeon 34113 , Republic of Korea.

出版信息

Anal Chem. 2019 Jul 16;91(14):8853-8863. doi: 10.1021/acs.analchem.9b00086. Epub 2019 Jun 27.

DOI:10.1021/acs.analchem.9b00086
PMID:31246424
Abstract

A novel quantitative mass spectrometric method based on partial metabolic deuterium oxide (DO) labeling, named "Deuterium Oxide Labeling for Global Omics Relative Quantification (DOLGOReQ)", was developed for relative quantification of lipids on a global scale. To assess the precision and robustness of DOLGOReQ, labeled and unlabeled lipids from HeLa cells were mixed in various ratios based on their cell numbers. Using in-house software developed for automated high-throughput data analysis of DOLGOReQ, the number of detectable mass isotopomers and the degree of deuterium labeling were exploited to filter out low quality quantification results. Quantification of an equimolar mixture of HeLa cell lipids exhibited high reproducibility and accuracy across multiple biological and technical replicates. Two orders of magnitude of effective dynamic range for reasonable relative quantification could be established with HeLa cells mixed from 10:1 to 1:10 ratios between labeled and unlabeled samples. The quantification precision of DOLGOReQ was also illustrated with lipids commonly detected in both positive and negative ion modes. Finally, quantification performance of DOLGOReQ was demonstrated in a biological sample by measuring the relative change in the lipidome of HeLa cells under normal and hypoxia conditions.

摘要

基于部分代谢氘水 (DO) 标记的新型定量质谱方法,称为“全局代谢组学相对定量的氘水标记 (DOLGOReQ)”,被开发用于大规模相对定量脂质。为了评估 DOLGOReQ 的精密度和稳健性,根据细胞数量,将标记和未标记的 HeLa 细胞中的脂质以各种比例混合。使用为 DOLGOReQ 的自动化高通量数据分析开发的内部软件,利用可检测质量同位素峰的数量和氘标记程度来筛选出低质量的定量结果。等量混合的 HeLa 细胞脂质的定量在多个生物学和技术重复中表现出高度的重现性和准确性。通过在标记和未标记样品之间以 10:1 到 1:10 的比例混合,可以建立两个数量级的有效动态范围,以进行合理的相对定量。还通过在正离子和负离子模式下都常见的脂质来说明 DOLGOReQ 的定量精度。最后,通过测量正常和缺氧条件下 HeLa 细胞脂类组的相对变化,在生物样品中证明了 DOLGOReQ 的定量性能。

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