Division of Biomedical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.
Biosensors (Basel). 2022 Dec 1;12(12):1102. doi: 10.3390/bios12121102.
Among all neoplasms, melanoma is characterized by a very high percentage of cancer stem cells (CSCs). Several markers have been proposed for their identification, and lipid droplets (LDs) are among them. Different techniques are used for their characterization such as mass spectrometry, imaging techniques, and vibrational spectroscopies. Some emerging experimental approaches for the study of LDs are represented by correlative light-electron microscopy and by correlative Raman imaging-scanning electron microscopy (SEM). Based on these scientific approaches, we developed a novel methodology (CREL) by combining Raman micro-spectroscopy, confocal fluorescence microscopy, and SEM coupled with an energy-dispersive X-ray spectroscopy module. This procedure correlated cellular morphology, chemical properties, and spatial distribution from the same region of interest, and in this work, we presented the application of CREL for the analysis of LDs within patient-derived melanoma CSCs (MCSCs).
在所有的肿瘤中,黑色素瘤的特点是具有非常高比例的癌症干细胞 (CSC)。已经提出了几种用于鉴定它们的标志物,其中包括脂滴 (LD)。不同的技术可用于它们的特征描述,如质谱、成像技术和振动光谱学。用于研究 LD 的一些新兴实验方法包括相关的光电子显微镜和相关的拉曼成像扫描电子显微镜 (SEM)。基于这些科学方法,我们通过结合拉曼微光谱、共聚焦荧光显微镜和 SEM 以及能量色散 X 射线光谱模块开发了一种新的方法 (CREL)。该程序将来自同一感兴趣区域的细胞形态、化学性质和空间分布相关联,在这项工作中,我们介绍了 CREL 在分析患者来源的黑色素瘤 CSC (MCSC) 中的 LD 中的应用。