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高通量亲水液相色谱质谱法量化大规模细胞培养物代谢边界通量的方法。

Methods for Quantifying the Metabolic Boundary Fluxes of Cell Cultures in Large Cohorts by High-Resolution Hydrophilic Liquid Chromatography Mass Spectrometry.

机构信息

Department of Biological Sciences, University of Calgary, Calgary T2N 1N4, Canada.

Cumming School of Medicine, Department of Pathology and Laboratory Medicine, University of Calgary, Calgary T2N 1N4, Canada.

出版信息

Anal Chem. 2022 Jun 28;94(25):8874-8882. doi: 10.1021/acs.analchem.2c00078. Epub 2022 Jun 14.

DOI:10.1021/acs.analchem.2c00078
PMID:35700271
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9244871/
Abstract

Metabolomics is a mainstream approach for investigating the metabolic underpinnings of complex biological phenomena and is increasingly being applied to large-scale studies involving hundreds or thousands of samples. Although metabolomics methods are robust in smaller-scale studies, they can be challenging to apply to larger cohorts due to the inherent variability of liquid chromatography mass spectrometry (LC-MS). Much of this difficulty results from the time-dependent changes in the LC-MS system, which affects both the qualitative and quantitative performances of the instrument. Herein, we introduce an analytical strategy for addressing this problem in large-scale microbial studies. Our approach quantifies microbial boundary fluxes using two zwitterionic hydrophilic interaction liquid chromatography (ZIC-HILIC) columns that are plumbed to enable offline column equilibration. Using this strategy, we show that over 397 common metabolites can be resolved in 4.5 min per sample and that metabolites can be quantified with a median coefficient of variation of 0.127 across 1100 technical replicates. We illustrate the utility of this strategy via an analysis of 960 strains of isolated from bloodstream infections. These data capture the diversity of metabolic phenotypes observed in clinical isolates and provide an example of how large-scale investigations can leverage our novel analytical strategy.

摘要

代谢组学是研究复杂生物现象代谢基础的主流方法,越来越多地应用于涉及数百或数千个样本的大规模研究。尽管代谢组学方法在较小规模的研究中具有稳健性,但由于液相色谱-质谱(LC-MS)固有的可变性,它们在更大的队列中应用具有挑战性。这种困难的大部分原因是 LC-MS 系统的时间依赖性变化,这会影响仪器的定性和定量性能。在这里,我们引入了一种分析策略,以解决大规模微生物研究中的这个问题。我们的方法使用两个两性离子亲水相互作用液相色谱(ZIC-HILIC)柱来定量微生物边界通量,这些柱连接在一起以实现离线柱平衡。使用这种策略,我们表明可以在每个样品 4.5 分钟内解析超过 397 种常见代谢物,并且可以在 1100 个技术重复中以中位数变异系数 0.127 对代谢物进行定量。我们通过对 960 株分离自血流感染的菌株的分析说明了这种策略的实用性。这些数据捕捉到了临床分离株中观察到的代谢表型多样性,并提供了一个示例,说明如何利用我们的新分析策略进行大规模调查。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f365/9244871/05e457d0cbaf/ac2c00078_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f365/9244871/f4437c2bc1e0/ac2c00078_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f365/9244871/8f131cf446ee/ac2c00078_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f365/9244871/b1e3a7926d6a/ac2c00078_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f365/9244871/f8452c4c4ba5/ac2c00078_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f365/9244871/05e457d0cbaf/ac2c00078_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f365/9244871/f4437c2bc1e0/ac2c00078_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f365/9244871/8f131cf446ee/ac2c00078_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f365/9244871/b1e3a7926d6a/ac2c00078_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f365/9244871/f8452c4c4ba5/ac2c00078_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f365/9244871/05e457d0cbaf/ac2c00078_0006.jpg

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