Ravid-Hermesh Orit, Zurgil Naomi, Shafran Yana, Afrimzon Elena, Sobolev Maria, Hakuk Yaron, Bar-On Eizig Zehavit, Deutsch Mordechai
Physics Department, Bar-Ilan University.
Physics Department, Bar-Ilan University;
J Vis Exp. 2018 Oct 25(140):58359. doi: 10.3791/58359.
Cancer metastasis is known to cause 90% of cancer lethality. Metastasis is a multistage process which initiates with the penetration/invasion of tumor cells into neighboring tissue. Thus, invasion is a crucial step in metastasis, making the invasion process research and development of anti-metastatic drugs, highly significant. To address this demand, there is a need to develop 3D in vitro models which imitate the architecture of solid tumors and their microenvironment most closely to in vivo state on one hand, but at the same time be reproducible, robust and suitable for high yield and high content measurements. Currently, most invasion assays lean on sophisticated microfluidic technologies which are adequate for research but not for high volume drug screening. Other assays using plate-based devices with isolated individual spheroids in each well are material consuming and have low sample size per condition. The goal of the current protocol is to provide a simple and reproducible biomimetic 3D cell-based system for the analysis of invasion capacity in large populations of tumor spheroids. We developed a 3D model for invasion assay based on HMCA imaging plate for the research of tumor invasion and anti-metastatic drug discovery. This device enables the production of numerous uniform spheroids per well (high sample size per condition) surrounded by ECM components, while continuously and simultaneously observing and measuring the spheroids at single-element resolution for medium throughput screening of anti-metastatic drugs. This platform is presented here by the production of HeLa and MCF7 spheroids for exemplifying single cell and collective invasion. We compare the influence of the ECM component hyaluronic acid (HA) on the invasive capacity of collagen surrounding HeLa spheroids. Finally, we introduce Fisetin (invasion inhibitor) to HeLa spheroids and nitric oxide (NO) (invasion activator) to MCF7 spheroids. The results are analyzed by in-house software which enables semi-automatic, simple and fast analysis which facilitates multi-parameter examination.
癌症转移已知会导致90%的癌症致死率。转移是一个多阶段过程,始于肿瘤细胞穿透/侵入邻近组织。因此,侵袭是转移过程中的关键步骤,这使得侵袭过程的研究以及抗转移药物的开发具有高度重要性。为满足这一需求,一方面需要开发3D体外模型,使其最接近体内状态地模拟实体瘤及其微环境的结构,但同时要具有可重复性、稳定性,且适用于高通量和高内涵测量。目前,大多数侵袭检测依赖复杂的微流控技术,这些技术适用于研究,但不适用于大规模药物筛选。其他使用基于平板的装置、每个孔中含有孤立单个球体的检测方法既消耗材料,而且每个条件下的样本量较小。本实验方案的目标是提供一个简单且可重复的基于细胞的仿生3D系统,用于分析大量肿瘤球体的侵袭能力。我们基于HMCA成像平板开发了一种用于侵袭检测的3D模型,以研究肿瘤侵袭和发现抗转移药物。该装置能够在每个孔中生成大量均匀的球体(每个条件下样本量高),球体周围有细胞外基质(ECM)成分,同时以单元素分辨率连续且同步地观察和测量球体,用于抗转移药物的中通量筛选。这里通过生成HeLa和MCF7球体展示该平台,以举例说明单细胞侵袭和集体侵袭。我们比较了ECM成分透明质酸(HA)对HeLa球体周围胶原蛋白侵袭能力的影响。最后,我们将漆黄素(侵袭抑制剂)引入HeLa球体,并将一氧化氮(NO)(侵袭激活剂)引入MCF7球体。结果通过内部软件进行分析,该软件能够进行半自动、简单且快速的分析,便于进行多参数检测。