University of Applied Sciences Neubrandenburg, Brodaer Straße 2, D-17033, Neubrandenburg, Germany.
Department of Theory and Bio-Systems, Max Planck Institute of Colloids and Interfaces, 14424, Potsdam, Germany.
BMC Res Notes. 2024 Oct 29;17(1):327. doi: 10.1186/s13104-024-06983-6.
Flow cytometry (FC) is probably the most important technique for single-cell analysis. It's precisely, rapid, and suitable for multidimensional single-cell analysis. The commonly used side scatter (SSC) intensity determined by FC is often interpreted as a measure of the internal cellular complexity of cells. In simple terms, the more structured a cell is, the higher the SSC intensity quantified by FC. Nevertheless, most of the studies that support this interpretation are based on data derived from animal or human cell lines and while it is assumed that the results can also be transferred to plant or algal cell lines, the details remain unclear. The objective of the recent work is to clarify the interpretation of the SSC signal from algal cells.
Algal lipid droplets and their starch play an inherent role to shape the popular SSC signal derived from FC. This was shown by a theoretical approach based on Lorenz-Mie theory. These results were supported by experiments with different model cultures of Chlamydomonas reinhardtii in which a high linear correlation was observed between the SSC signal and the 'physical' starch quantity.
流式细胞术(FC)可能是单细胞分析最重要的技术。它精确、快速,适用于多维单细胞分析。FC 测定的常用侧向散射(SSC)强度通常被解释为细胞内部细胞复杂性的度量。简单地说,细胞结构越复杂,FC 定量的 SSC 强度就越高。然而,支持这种解释的大多数研究都是基于动物或人类细胞系的数据得出的,虽然假设这些结果也可以转移到植物或藻类细胞系,但细节尚不清楚。最近的工作旨在澄清藻类细胞的 SSC 信号的解释。
藻类脂质滴及其淀粉对从 FC 衍生的流行 SSC 信号起着内在的作用。这是通过基于洛伦兹-米理论的理论方法证明的。这些结果得到了不同的莱茵衣藻模型培养物实验的支持,在这些实验中,SSC 信号与“物理”淀粉量之间观察到高度线性相关性。