Avicor Ltd., H6726 Szeged, Hungary.
University of Szeged, PhD School in Biology, H6726 Szeged, Hungary.
Cells. 2019 Sep 16;8(9):1093. doi: 10.3390/cells8091093.
Single cell genomics and proteomics with the combination of innovative three-dimensional (3D) cell culture techniques can open new avenues toward the understanding of intra-tumor heterogeneity. Here, we characterize lung cancer markers using single cell mass cytometry to compare different in vitro cell culturing methods: two-dimensional (2D), carrier-free, or bead-based 3D culturing with in vivo xenografts. Proliferation, viability, and cell cycle phase distribution has been investigated. Gene expression analysis enabled the selection of markers that were overexpressed: or repressed: either in vivo or in long-term 3D cultures. Additionally, TRA-1-60, pan-keratins, CD326, Galectin-3, and CD274, markers with known clinical significance have been investigated at single cell resolution. The described twelve markers convincingly highlighted a unique pattern reflecting intra-tumor heterogeneity of 3D samples and in vivo A549 lung cancer cells. In 3D systems CA9, CD24, and EGFR showed higher expression than in vivo. Multidimensional single cell proteome profiling revealed that 3D cultures represent a transition from 2D to in vivo conditions by intermediate marker expression of TRA-1-60, TMEM45A, pan-keratin, CD326, MCT4, Gal-3, CD66, GLUT1, and CD274. Therefore, 3D cultures of NSCLC cells bearing more putative cancer targets should be used in drug screening as the preferred technique rather than the Petri-dish.
单细胞基因组学和蛋白质组学与创新的三维(3D)细胞培养技术相结合,可以为理解肿瘤内异质性开辟新途径。在这里,我们使用单细胞质谱细胞术来描述肺癌标志物,以比较不同的体外细胞培养方法:二维(2D)、无载体或基于珠的 3D 培养与体内异种移植。已经研究了增殖、活力和细胞周期相分布。基因表达分析使能够选择在体内或长期 3D 培养中过表达的标志物: 或下调: 。此外,还研究了具有已知临床意义的 TRA-1-60、泛角蛋白、CD326、半乳糖凝集素-3 和 CD274 标志物在单细胞分辨率下的表达。描述的十二个标志物令人信服地突出了反映 3D 样本和体内 A549 肺癌细胞肿瘤内异质性的独特模式。在 3D 系统中,CA9、CD24 和 EGFR 的表达高于体内。多维单细胞蛋白质组分析表明,3D 培养通过 TRA-1-60、TMEM45A、泛角蛋白、CD326、MCT4、Gal-3、CD66、GLUT1 和 CD274 的中间标志物表达,代表从 2D 到体内条件的过渡。因此,应该使用载有更多潜在癌症靶点的非小细胞肺癌细胞的 3D 培养作为首选技术而不是 Petri 皿进行药物筛选。