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Blind Spectral Decomposition of Single-Cell Fluorescence by Parallel Factor Analysis

机译:并行因子分析的单细胞荧光光谱盲分解

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摘要

Simultaneous measurement of multiple signaling molecules is essential to investigate their relations and interactions in living cells. Although a wide variety of fluorescent probes are currently available, the number of probes that can be applied simultaneously is often limited by the overlaps among their fluorescence spectra. We developed the experimental system to measure and analyze many overlapping fluorescent components in single cells. It is based on the recording of two-dimensional single-cell fluorescence spectra and on the blind spectral decomposition of fluorescence data by method of parallel factor analysis. Because this method does not require any preknowledge about the shapes of individual component spectra, it can be applied to the specimens that contain fluorescent components with unknown spectra. By examining the performance using the mixture solutions of fluorescent indicators, it was confirmed that >10 largely overlapping spectral components could be easily separated. The effectiveness in the physiological experiments was proven in the applications to the temporal analysis of intracellular Ca2+ concentration and pH, as well as the intrinsic fluorescent components, in single mouse oocytes.
机译:同时测量多个信号分子对于研究它们在活细胞中的关系和相互作用至关重要。尽管当前可获得各种各样的荧光探针,但是可同时使用的探针的数量通常受到其荧光光谱之间的重叠的限制。我们开发了用于测量和分析单个细胞中许多重叠荧光成分的实验系统。它基于二维单细胞荧光光谱的记录和基于并行因子分析方法的荧光数据的盲光谱分解。由于此方法不需要任何有关单个成分光谱形状的知识,因此可以将其应用于包含光谱未知的荧光成分的样品。通过使用荧光指示剂的混合溶液检查性能,已确认可以轻松分离> 10个高度重叠的光谱成分。生理实验的有效性在单小鼠卵母细胞中细胞内Ca2 +浓度和pH值以及固有荧光成分的时间分析中的应用中得到了证明。

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