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Characterization of the Lateral Distribution of Fluorescent Lipid in Binary-Constituent Lipid Monolayers by Principal Component Analysis

机译:主成分分析表征二元脂质单分子膜中荧光脂质的侧向分布

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摘要

Lipid lateral organization in binary-constituent monolayers consisting of fluorescent and nonfluorescent lipids has been investigated by acquiring multiple emission spectra during measurement of each force-area isotherm. The emission spectra reflect BODIPY-labeled lipid surface concentration and lateral mixing with different nonfluorescent lipid species. Using principal component analysis (PCA) each spectrum could be approximated as the linear combination of only two principal vectors. One point on a plane could be associated with each spectrum, where the coordinates of the point are the coefficients of the linear combination. Points belonging to the same lipid constituents and experimental conditions form a curve on the plane, where each point belongs to a different mole fraction. The location and shape of the curve reflects the lateral organization of the fluorescent lipid mixed with a specific nonfluorescent lipid. The method provides massive data compression that preserves and emphasizes key information pertaining to lipid distribution in different lipid monolayer phases. Collectively, the capacity of PCA for handling large spectral data sets, the nanoscale resolution afforded by the fluorescence signal, and the inherent versatility of monolayers for characterization of lipid lateral interactions enable significantly enhanced resolution of lipid lateral organizational changes induced by different lipid compositions.
机译:通过在测量每个力面积等温线期间获取多个发射光谱,已经研究了由荧光和非荧光脂质组成的二元单分子膜中的脂质横向组织。发射光谱反映了BODIPY标记的脂质表面浓度以及与不同非荧光脂质种类的横向混合。使用主成分分析(PCA),每个光谱可以近似为仅两个主矢量的线性组合。平面上的一个点可以与每个频谱相关联,其中该点的坐标是线性组合的系数。属于相同脂质成分和实验条件的点在平面上形成一条曲线,其中每个点都属于不同的摩尔分数。曲线的位置和形状反映了与特定的非荧光脂质混合的荧光脂质的横向组织。该方法提供了海量数据压缩,可保留并强调与不同脂质单层相中脂质分布有关的关键信息。总的来说,PCA处理大光谱数据集的能力,荧光信号提供的纳米级分辨率以及表征脂质侧向相互作用的单分子膜固有的多功能性,可以显着提高由不同脂质成分引起的脂质侧向组织变化的分辨率。

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