Biomolecular Component Analysis of Phospholipids Composition in Live HeLa Cells
Biomolecular Component Analysis of Phospholipids Composition in Live HeLa Cells
复制标题
活 HeLa 细胞中磷脂成分的生物分子成分分析
DOI：
10.3390/bios8040123
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发表时间：
2018-12
期刊：
影响因子：
--
通讯作者：
Junle Qu
中科院分区：
文献类型：
--
作者：
Svitlana M. Levchenko;Junle Qu
细胞内磷脂组成的改变，特别是饱和和不饱和脂肪酸之间的比例，可以作为疾病进展预后的重要生物标志物（例如，脂肪肝疾病、前列腺癌或神经退行性疾病）。生物样品中脂质分析的主要技术需要脂质提取程序，这与活细胞研究不兼容。为了解决这一挑战，我们应用microroraman - biommolecular Component Analysis （BCA）对HeLa活细胞和提取的HeLa细胞的磷脂组成进行比较分析，并检测脂肪酸脂链的饱和度。在脂滴（ldds）游离细胞质区、ldds和BCA提取的脂质区处理原始拉曼数据后，分离脂质成分。尽管在活细胞和提取的脂质中获得的处理拉曼光谱的一般轮廓相似，但揭示了一些明显的差异，反映了它们的磷脂组成的多样性。利用脂肪酸链双键数与相应拉曼带强度比的直接关系，估计了脂肪酸的饱和程度。
The alteration of the phospholipid composition within the cell, in particular the ratio between saturated and unsaturated fatty acids, can serve as an important biomarker to prognosis of the disease progression (e.g., fatty-liver disease, prostate cancer, or neurodegenerative disorders). Major techniques for lipid analysis in biological samples require a lipid extraction procedure that is not compatible with live cell studies. To address this challenge, we apply microRaman-Biomolecular Component Analysis (BCA) for comparative analysis of phospholipid composition and sensing the saturation degree of fatty acid lipid chain in live HeLa cells and lipids extracted from HeLa cells. After processing raw Raman data, acquired in lipid droplets (LDs) free cytoplasmic area, LDs and extracted lipids with BCA, the lipid component was isolated. Despite the similarity in general profiles of processed Raman spectra acquired in live cells and extracted lipids, some clear differences that reflect diversity in their phospholipids composition were revealed. Furthermore, using the direct relation between the number of double bonds in the fatty acid chain and the intensity ratio of the corresponding Raman bands, the saturation degree of fatty acids was estimated.
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影响因子：
4.3
作者：
Wei, Yuren;Wang, Dong;Gentile, Christopher L.;Pagliassotti, Michael J.
通讯作者：
Pagliassotti, Michael J.
DOI：
10.3390/bios7040052
发表时间：
2017-11-15
期刊：
Biosensors
影响因子：
--
作者：
Kuzmin AN;Pliss A;Prasad PN
通讯作者：
Prasad PN
影响因子：
9.7
作者：
O'Malley J;Kumar R;Kuzmin AN;Pliss A;Yadav N;Balachandar S;Wang J;Attwood K;Prasad PN;Chandra D
通讯作者：
Chandra D
DOI：
10.1016/j.bbalip.2017.12.006
发表时间：
2018-03-01
影响因子：
4.8
作者：
Jarc, Eva;Kump, Ana;Petan, Toni
通讯作者：
Petan, Toni
影响因子：
11.2
作者：
Rysman, Evelien;Brusselmans, Koen;Swinnen, Johannes V.
通讯作者：
Swinnen, Johannes V.