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多维相敏方法揭示 NIH-3T3 细胞膜中的 LAURDAN 光物理性质。

A multidimensional phasor approach reveals LAURDAN photophysics in NIH-3T3 cell membranes.

机构信息

Laboratory for Fluorescence Dynamics, Biomedical Engineering Department, University of California at Irvine, Irvine, California, USA.

Área de Investigación Respiratoria, Departamento de Fisiopatología, Hospital de Clínicas, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay.

出版信息

Sci Rep. 2017 Aug 23;7(1):9215. doi: 10.1038/s41598-017-08564-z.

Abstract

Mammalian cell membranes have different phospholipid composition and cholesterol content, displaying a profile of fluidity that depends on their intracellular location. Among the dyes used in membrane studies, LAURDAN has the advantage to be sensitive to the lipid composition as well as to membrane fluidity. The LAURDAN spectrum is sensitive to the lipid composition and dipolar relaxation arising from water penetration, but disentangling lipid composition from membrane fluidity can be obtained if time resolved spectra could be measured at each cell location. Here we describe a method in which spectral and lifetime information obtained in different measurements at the same plane in a cell are used in the phasor plot providing a solution to analyze multiple lifetime or spectral data through a common visualization approach. We exploit a property of phasor plots based on the reciprocal role of the phasor plot and the image. In the phasor analysis each pixel of the image is associated with a phasor and each phasor maps to pixels and features in the image. In this paper the lifetime and spectral fluorescence data are used simultaneously to determine the contribution of polarity and dipolar relaxations of LAURDAN in each pixel of an image.

摘要

哺乳动物细胞膜具有不同的磷脂组成和胆固醇含量,显示出依赖于其细胞内位置的流动性特征。在用于膜研究的染料中,LAURDAN 的优点是对脂质组成以及膜流动性敏感。LAURDAN 光谱对脂质组成和源于水渗透的偶极弛豫敏感,但如果可以在每个细胞位置测量时间分辨光谱,则可以从膜流动性中分离出脂质组成。在这里,我们描述了一种方法,该方法在细胞的同一平面上的不同测量中使用光谱和寿命信息,在相图中提供了通过通用可视化方法分析多个寿命或光谱数据的解决方案。我们利用相图的一个特性,该特性基于相图和图像的相互作用。在相图分析中,图像的每个像素都与一个相图相关联,并且每个相图都映射到图像中的像素和特征。在本文中,同时使用寿命和光谱荧光数据来确定 LAURDAN 在图像的每个像素中的极性和偶极弛豫的贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d841/5569084/3d8ef44dc4a2/41598_2017_8564_Fig1_HTML.jpg

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