Fujita Hideaki, Haruki Takayuki, Sudo Kazuhiro, Koga Yumiko, Nakamura Yukio, Abe Kuniya, Yoshida Yasuhiko, Koizumi Keiichi, M Watanabe Tomonobu
Department of Stem Cell Biology, Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima 734-8553, Japan.
Faculty of Sustainable Design, Academic Assembly, University of Toyama, Toyama 930-8555, Japan.
Biophys Physicobiol. 2024 Mar 22;21(Supplemental):e211016. doi: 10.2142/biophysico.bppb-v21.s016. eCollection 2024.
Considering the fundamental mechanism causing singularity phenomena, we performed the following abduction: Assuming that a multicellular system is driven by spontaneous fluctuation of each cell and dynamic interaction of the cells, state transition of the system would be experimentally predictable from cellular heterogeneity. This study evaluates the abductive hypothesis by analyzing cellular heterogeneity to distinguish pre-state of state transition of differentiating cells with Raman spectroscopy and human induced pluripotent stem cells (hiPSCs) technique. Herein, we investigated the time development of cellular heterogeneity in Raman spectra during cardiomyogenesis of six hiPSC lines and tested two types of analyses for heterogeneity. As expected, some spectral peaks, possibly attributed to glycogen, correctively exhibited higher heterogeneity, prior to intensity changes of the spectrum in the both analyses in the all cell-lines tested. The combination of spectral data and heterogeneity-based analysis will be an approach to the arrival of biology that uses not only signal intensity but also heterogeneity as a biological index.
考虑到导致奇异现象的基本机制，我们进行了如下溯因推理：假设一个多细胞系统由每个细胞的自发波动以及细胞间的动态相互作用驱动，那么该系统的状态转变将可以通过细胞异质性进行实验预测。本研究通过利用拉曼光谱和人类诱导多能干细胞（hiPSC）技术分析细胞异质性，以评估这一溯因假设，从而区分分化细胞状态转变的前状态。在此，我们研究了6种hiPSC系在心肌生成过程中拉曼光谱中细胞异质性的时间发展，并测试了两种类型的异质性分析方法。正如预期的那样，在所有测试细胞系的两种分析中，一些可能归因于糖原的光谱峰在光谱强度变化之前，均呈现出更高的异质性。光谱数据与基于异质性的分析相结合，将成为一种不仅使用信号强度，还将异质性作为生物学指标的生物学研究方法。
