Lipid analysis of eight human breast cancer cell lines with ToF-SIMS
Lipid analysis of eight human breast cancer cell lines with ToF-SIMS
复制标题
DOI：
10.1116/1.4929633
复制
发表时间：
2016-06-01
期刊：
影响因子：
2.1
通讯作者：
Gamble, Lara J.
中科院分区：
文献类型：
--
作者：
Robinson, Michael A.;Graham, Daniel J.;Gamble, Lara J.
在这项工作中，四个三阴性（TN）细胞系，三个ER+和PR+受体阳性（RP）细胞系，和一个ER+，PR+，和HER 2+细胞系的化学区分彼此使用飞行时间二次离子质谱（ToF-SIMS）和主成分分析（PCA）。PCA评分分离观察到的单个细胞系在一个给定的分类（TN和RP），有明显不同的趋势，发现在两个不同的分类的脂肪酸和脂质组成。这些趋势表明，RP细胞系基于脂质的碳链长度分离，而TN细胞系基于胆固醇相关峰（在正离子数据中）显示分离。这两种细胞类型通过脂肪酸链长度和负离子饱和度的趋势分离出来。这些化学差异可能是每个不同细胞系内独特代谢过程的表现。此外，HER 2+细胞系与其他三种RP细胞类型的区别在于具有独特的脂肪酸分布，包括与18-碳链脂肪酸的同源性。由于这些细胞系不能在相同的生长培养基中生长，因此化学固定、冲洗、C-60+预溅射和选择感兴趣的细胞区域的组合也被提出作为从在不同培养基中生长的细胞系获得ToF-SIMS数据的成功方法。(C)2015年美国真空学会。
In this work, four triple negative (TN) cell lines, three ER+ and PR+ receptor positive (RP) cell lines, and one ER+, PR+, and HER2+ cell line were chemically distinguished from one another using time-of-flight secondary ion mass spectrometry (ToF-SIMS) and principal component analysis (PCA). PCA scores separation was observed between the individual cell lines within a given classification (TN and RP) and there were distinctly different trends found in the fatty acid and lipid compositions of the two different classifications. These trends indicated that the RP cell lines separated out based on the carbon chain length of the lipids while the TN cell lines showed separation based on cholesterol-related peaks (in the positive ion data). Both cell types separated out by trends in fatty acid chain length and saturation in the negative ions. These chemical differences may be manifestations of unique metabolic processes within each of the different cell lines. Additionally, the HER2+ cell line was distinguished from three other RP cell types as having a unique distribution of fatty acids including anticorrelation to 18-carbon chain fatty acids. As these cell lines could not be grown in the same growth media, a combination of chemical fixation, rinsing, C-60+ presputtering, and selection of cellular regions-of-interest is also presented as a successful method to acquire ToF-SIMS data from cell lines grown in different media. (C) 2015 American Vacuum Society.