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Correlation of lipidomic composition of cell lines and tissues of breast cancer patients using hydrophilic interaction liquid chromatography/electrospray ionization mass spectrometry and multivariate data analysis

机译:亲水相互作用液相色谱/电喷雾电离质谱法和多变量数据分析对乳腺癌患者细胞系和组织脂质组学的相关性

摘要

Rationale: The goal of this work is the comparison of differences in the lipidomic compositions of human cell lines derived from normal and cancerous breast tissues, and tumor vs. normal tissues obtained after the surgery of breast cancer patients. Methods: Hydrophilic interaction liquid chromatography/electrospray ionization mass spectrometry (HILIC/ESI-MS) using the single internal standard approach and response factors is used for the determination of relative abundances of individual lipid species from five lipid classes in total lipid extracts of cell lines and tissues. The supplementary information on the fatty acyl composition is obtained by gas chromatography/mass spectrometry (GC/MS) of fatty acid methyl esters. Multivariate data analysis (MDA) methods, such as nonsupervised principal component analysis (PCA), hierarchical clustering analysis (HCA) and supervised orthogonal partial least-squares discriminant analysis (OPLS-DA), are used for the visualization of differences between normal and tumor samples and the correlation of similarity between cell lines and tissues either for tumor or normal samples. Results: MDA methods are used for differentiation of sample groups and also for identification of the most up- and downregulated lipids in tumor samples in comparison to normal samples. Observed changes are subsequently generalized and correlated with data from tumor and normal tissues of breast cancer patients. In total, 123 lipid species are identified based on their retention behavior in HILIC and observed ions in ESI mass spectra, and relative abundances are determined. Conclusions: MDA methods are applied for a clear differentiation between tumor and normal samples both for cell lines and tissues. The most upregulated lipids are phospholipids (PL) with a low degree of unsaturation (e.g., 32:1 and 34:1) and also some highly polyunsaturated PL (e.g., 40:6), while the most downregulated lipids are PL containing polyunsaturated fatty acyls (e.g., 20:4), plasmalogens and ether lipids. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.
机译:原理:这项工作的目的是比较源自正常和癌性乳腺组织的人类细胞系脂质体组成的差异,以及乳腺癌患者手术后获得的肿瘤与正常组织的差异。方法:采用单一内标方法和响应因子,通过亲水相互作用液相色谱/电喷雾电离质谱(HILIC / ESI-MS)测定细胞系总脂质提取物中五种脂质类别的单个脂质种类的相对丰度和组织。通过脂肪酸甲酯的气相色谱/质谱法(GC / MS)获得有关脂肪酰基组成的补充信息。多元数据分析(MDA)方法(例如非监督主成分分析(PCA),层次聚类分析(HCA)和监督正交偏最小二乘判别分析(OPLS-DA))用于可视化正常与肿瘤之间的差异样本或肿瘤或正常样本的细胞系和组织之间相似性的相关性。结果:MDA方法用于区分样品组,还用于鉴定与正常样品相比肿瘤样品中最上调和下调的脂质。随后将观察到的变化进行概括,并与来自乳腺癌患者的肿瘤和正常组织的数据相关联。根据它们在HILIC中的保留行为和ESI质谱图中观察到的离子,总共鉴定出123种脂质,并确定了相对丰度。结论:MDA方法可用于区分肿瘤和正常样品的细胞系和组织。上调程度最高的脂质是具有低不饱和度的磷脂(PL)(例如32:1和34:1)以及一些高度多不饱和脂质(例如40:6),而最下调的脂质是含有多不饱和脂肪的PL酰基(例如20:4),缩醛磷脂和醚脂质。版权所有©2016 John Wiley&Sons,Ltd.。版权所有©2016 John Wiley&Sons,Ltd.。

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