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利用电喷雾质谱研究CAL-27和HOK细胞系的脂质组图谱

A Study of the Lipidomic Profiles of the CAL-27 and HOK Cell Lines Using EMS Spectra.

作者信息

Wang Xue-Ying, Zhang Ting, Guan Wei-Qun, Li Hua-Zhu, Lin Ling

机构信息

Department of Stomatology, Fujian Medical University Union Hospital, Fuzhou, China.

General Dentistry, School and Hospital of Stomatology, Fujian Medical University, Fuzhou, China.

出版信息

Front Oncol. 2021 Dec 22;11:771337. doi: 10.3389/fonc.2021.771337. eCollection 2021.

DOI:10.3389/fonc.2021.771337
PMID:35004290
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8727700/
Abstract

OBJECTIVE

The aim of this study was to explore the lipidomic profiles of the CAL-27 human tongue cancer cell line and the human oral keratinocyte (HOK) cell line.

METHODS

The lipidomic differences between the CAL-27 and the HOK cell lines were investigated using non-targeted high-performance liquid chromatography-mass spectrometry lipidomic analysis. The resulting data were then further mined bioinformatics analysis technology and metabolic pathway analysis was conducted in order to map the most affected metabolites and pathways in the two cell lines.

RESULTS

A total of 711 lipids were identified, including 403 glycerophospholipids (GPs), 147 glycerolipids, and 161 sphingolipids. Comparison of the enhanced MS (EMS) spectra of the two cell lines in positive and negative ionization modes showed the lipid compositions of HOK and CAL-27 cells to be similar. The expressions of most GP species in CAL-27 cells showed an increasing trend as compared with HOK, whereas a significant increase in phosphatidylcholine was observed ( < 0.05). Significant differences in the lipid composition between CAL-27 and HOK cells were shown as a heatmap. Through principal component analysis and orthogonal partial least squares discriminant analysis, noticeably clear separation trends and satisfactory clustering trends between groups of HOK and CAL-27 cells were identified. The numbers of specific lipid metabolites that could distinguish CAL-27 from HOK in positive and negative modes were 100 and 248, respectively. GP metabolism was the most significantly altered lipid metabolic pathway, with 4 metabolites differentially expressed in 39 hit products.

CONCLUSION

This study demonstrated the potential of using untargeted mass spectra and bioinformatics analysis to describe the lipid profiles of HOK and CAL-27 cells.

摘要

目的

本研究旨在探索CAL-27人舌癌细胞系和人口腔角质形成细胞(HOK)系的脂质组学特征。

方法

采用非靶向高效液相色谱-质谱脂质组学分析方法,研究CAL-27和HOK细胞系之间的脂质组差异。然后利用生物信息学分析技术对所得数据进行进一步挖掘,并进行代谢途径分析,以确定这两种细胞系中受影响最大的代谢物和途径。

结果

共鉴定出711种脂质,包括403种甘油磷脂(GPs)、147种甘油脂和161种鞘脂。对两种细胞系在正离子和负离子模式下的增强质谱(EMS)谱图进行比较,结果显示HOK和CAL-27细胞的脂质组成相似。与HOK相比,CAL-27细胞中大多数GP种类的表达呈上升趋势,而磷脂酰胆碱的表达显著增加(<0.05)。通过热图展示了CAL-27和HOK细胞之间脂质组成存在显著差异。通过主成分分析和正交偏最小二乘法判别分析,发现HOK和CAL-27细胞组之间存在明显的分离趋势和令人满意的聚类趋势。在正离子和负离子模式下,能够区分CAL-27和HOK的特定脂质代谢物数量分别为100种和248种。GP代谢是脂质代谢途径中变化最显著的,在39种命中产物中有4种代谢物差异表达。

结论

本研究证明了使用非靶向质谱和生物信息学分析来描述HOK和CAL-27细胞脂质谱的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddef/8727700/65088ddf200b/fonc-11-771337-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddef/8727700/9cc75f654f5d/fonc-11-771337-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddef/8727700/ea939b917ddf/fonc-11-771337-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddef/8727700/299e2cd77295/fonc-11-771337-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddef/8727700/510928d56941/fonc-11-771337-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddef/8727700/2d4dc8f89fd6/fonc-11-771337-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddef/8727700/65088ddf200b/fonc-11-771337-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddef/8727700/9cc75f654f5d/fonc-11-771337-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddef/8727700/ea939b917ddf/fonc-11-771337-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddef/8727700/299e2cd77295/fonc-11-771337-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddef/8727700/510928d56941/fonc-11-771337-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddef/8727700/2d4dc8f89fd6/fonc-11-771337-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddef/8727700/65088ddf200b/fonc-11-771337-g006.jpg

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本文引用的文献

1
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2
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Front Cell Infect Microbiol. 2020 Jan 15;9:476. doi: 10.3389/fcimb.2019.00476. eCollection 2019.
3
Discrimination of normal oral mucosa from oral cancer by mass spectrometry imaging of proteins and lipids.利用蛋白质和脂质的质谱成像技术对正常口腔黏膜与口腔癌进行鉴别。
J Mol Histol. 2019 Feb;50(1):1-10. doi: 10.1007/s10735-018-9802-3. Epub 2018 Nov 3.
4
Plasma lipid profiling and diagnostic biomarkers for oral squamous cell carcinoma.口腔鳞状细胞癌的血浆脂质谱分析及诊断生物标志物
Oncotarget. 2017 Sep 27;8(54):92324-92332. doi: 10.18632/oncotarget.21289. eCollection 2017 Nov 3.
5
Is Lipidomic the Answer to the Search of a Biomarker for Organ Preservation Protocol in Head and Neck Squamous Cell Carcinoma?脂质组学能否为寻找头颈部鳞状细胞癌器官保存方案的生物标志物提供答案?
Pathol Oncol Res. 2018 Oct;24(4):931-935. doi: 10.1007/s12253-017-0336-x. Epub 2017 Nov 13.
6
Advances in Lipidomics for Cancer Biomarkers Discovery.用于发现癌症生物标志物的脂质组学进展。
Int J Mol Sci. 2016 Nov 28;17(12):1992. doi: 10.3390/ijms17121992.
7
Highly efficient solid-phase derivatization of sugar phosphates with titanium-immobilized hydrophilic polydopamine-coated silica.钛固定化亲水性聚多巴胺包覆二氧化硅对糖磷酸酯的高效固相衍生化
J Chromatogr A. 2016 Jul 29;1457:125-33. doi: 10.1016/j.chroma.2016.06.046. Epub 2016 Jun 16.
8
Aberrant expression of the S1P regulating enzymes, SPHK1 and SGPL1, contributes to a migratory phenotype in OSCC mediated through S1PR2.鞘氨醇激酶1(SPHK1)和鞘氨醇磷酸酯酶1(SGPL1)这两种S1P调节酶的异常表达,会导致通过S1PR2介导的口腔鳞状细胞癌的迁移表型。
Sci Rep. 2016 May 10;6:25650. doi: 10.1038/srep25650.
9
Potential Salivary Proteomic Markers of Oral Squamous Cell Carcinoma.口腔鳞状细胞癌潜在的唾液蛋白质组学标志物。
Cancer Genomics Proteomics. 2016 Jan-Feb;13(1):55-61.
10
Novel advances in shotgun lipidomics for biology and medicine.用于生物学和医学的鸟枪法脂质组学的新进展。
Prog Lipid Res. 2016 Jan;61:83-108. doi: 10.1016/j.plipres.2015.12.002. Epub 2015 Dec 15.