Dissecting the mechanisms of environment sensitivity of smart probes for quantitative assessment of membrane properties

<strong>General Description</strong>
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It contains data sets from Ragaller et al, Open Biology, 2022 (https://doi.org/10.1098/rsob.220175).<br>

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It contains Generalized Polarization (GP) values, GP profiles, GP maps, raw spectral images, MD Simulation snapshots, tilt angle distributions, partial density profiles, relaxation time and stokes shift
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<strong>Abstract<br>
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The plasma membrane serves as a crucial platform for a multitude of cellular processes. Its collective biophysical properties are largely determined by the structural diversity of the different lipid species it accommodates. Therefore, a detailed investigation of biophysical properties of the plasma membrane is of utmost importance for a comprehensive understanding of biological processes occurring therein. During the past two decades several environment-sensitive probes have been popular tools to investigate membrane properties. Although these probes are assumed to report on membrane order in similar ways, their individual mechanisms remain to be elucidated. In this study, using model membrane systems, we studied the probes Pro12A, NR12S and NR12A in depth and examined their sensitivity to parameters with potential biological implications, such as the degree of lipid saturation, double bond position and configuration, phospholipid headgroup and cholesterol content. Applying spectral imaging together with atomistic molecular dynamics simulations and time-dependent fluorescent shift analyses, we unravelled individual sensitivities of these probes to different biophysical properties, their distinct localizations and specific relaxation processes in membranes. Overall, Pro12A, NR12S and NR12A serve together as a toolbox with a wide range of applications allowing to select the most appropriate probe for each specific research question. 
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<strong>Data usage</strong>
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Researchers  are welcome to use the data contained in the dataset for any projects.  Please cite this item upon use or when published. We  encourage reuse using the same CC BY 4.0 License.<br>

<strong>Data Content</strong>
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Excel files for graphs
Microscopy Images
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<strong>Software to open files</strong>
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.csv - Microsoft Excel<br>
.tif, .lsm - Fiji (https://imagej.net/Fiji.html#Downloads)<br>
.pzfx - GraphPad Prism<br>
.svg - Inkscape (https://inkscape.org/)

<strong>概述</strong><br>它包含来自Ragaller等人（2022年，《Open Biology》）的数据集（https://doi.org/10.1098/rsob.220175）。<br><br>包含广义偏振（Generalized Polarization, GP）值、GP谱、GP图、原始光谱图像、MD Simulation快照、倾斜角分布、部分密度谱、弛豫时间及斯托克斯位移（Stokes shift）。<br><br><strong>摘要<br></strong>质膜是众多细胞过程的关键平台。其整体生物物理特性在很大程度上由其包含的不同脂质种类的结构多样性决定。因此，详细研究质膜的生物物理特性对于全面理解其中发生的生物过程至关重要。过去二十年中，多种环境敏感探针已成为研究膜特性的常用工具。尽管这些探针被认为以相似的方式反映膜的有序性，但其各自的机制仍有待阐明。本研究中，我们利用模型膜系统深入研究了Pro12A、NR12S和NR12A三种探针，并考察了它们对具有潜在生物学意义的参数的敏感性，例如脂质饱和度、双键位置与构型、磷脂头部基团及胆固醇含量。通过结合光谱成像、原子级分子动力学模拟（atomistic molecular dynamics simulation）和时间依赖性荧光位移分析，我们揭示了这些探针对膜的不同生物物理特性、各自独特的定位及特定弛豫过程的敏感性。总体而言，Pro12A、NR12S和NR12A共同构成了一个应用广泛的工具箱，可针对每个具体研究问题选择最合适的探针。<br><br><strong>数据使用说明</strong><br>欢迎研究人员将本数据集包含的数据用于任何项目。使用或发表时请引用本条目。我们鼓励遵循相同的CC BY 4.0许可协议进行复用。<br><br><strong>数据内容</strong><br>用于绘制图表的Excel文件、显微镜图像<br><br><strong>文件打开软件</strong><br>.csv - Microsoft Excel<br>.tif、.lsm - Fiji（https://imagej.net/Fiji.html#Downloads）<br>.pzfx - GraphPad Prism<br>.svg - Inkscape（https://inkscape.org/）