Samuel Ashok Zachariah, Miyaoka Rimi, Ando Masahiro, Gaebler Anne, Thiele Christoph, Takeyama Haruko
Research Organization for Nano & Life Innovation, Waseda University, 513, Wasedatsurumaki-cho, Shinjuku-ku, Tokyo, 162-0041, Japan.
Department of Life Science and Medical Bioscience, Waseda University, 2-2 Wakamatsu-cho, Shinjuku-ku, Tokyo, 162-8480, Japan.
Commun Biol. 2020 Jul 10;3(1):372. doi: 10.1038/s42003-020-1100-4.
Raman imaging has become an attractive technology in molecular biology because of its ability to detect multiple molecular components simultaneously without labeling. Two major limitations in accurately accounting for spectral features, viz., background removal and spectral unmixing, have been overcome by employing a modified and effective routine in multivariate curve resolution (MCR). With our improved strategy, we have spectrally isolated seven structurally specific biomolecules without any post-acquisition spectral treatments. Consequently, the isolated intensity profiles reflected concentrations of corresponding biomolecules with high statistical accuracy. Our study reveals the changes in the molecular composition of lipid droplets (LDs) inside HuH7 cells and its relation to the physiological state of the cell. Further, we show that the accurate separation of spectral components permits analysis of structural modification of molecules after cellular uptake. A detailed discussion is presented to highlight the potential of Raman spectroscopy with MCR in semi-quantitative molecular profiling of living cells.
拉曼成像因其能够在不进行标记的情况下同时检测多种分子成分,已成为分子生物学中一项具有吸引力的技术。通过在多元曲线分辨(MCR)中采用一种改进且有效的程序,克服了准确解释光谱特征的两个主要限制,即背景去除和光谱解混。通过我们改进的策略,我们在没有任何采集后光谱处理的情况下,从光谱上分离出了七种结构特异性生物分子。因此,分离出的强度分布以高统计精度反映了相应生物分子的浓度。我们的研究揭示了HuH7细胞内脂滴(LDs)分子组成的变化及其与细胞生理状态的关系。此外,我们表明光谱成分的准确分离允许分析细胞摄取后分子的结构修饰。本文进行了详细讨论,以突出拉曼光谱结合MCR在活细胞半定量分子分析中的潜力。