Xu Kun, Buchsbaum Rachel J
Molecular Oncology Research Institute, Department of Medicine, Tufts Medical Center.
J Vis Exp. 2012 Apr 30(62):3760. doi: 10.3791/3760.
While enormous efforts have gone into identifying signaling pathways and molecules involved in normal and malignant cell behaviors(1-2), much of this work has been done using classical two-dimensional cell culture models, which allow for easy cell manipulation. It has become clear that intracellular signaling pathways are affected by extracellular forces, including dimensionality and cell surface tension(3-4). Multiple approaches have been taken to develop three-dimensional models that more accurately represent biologic tissue architecture(3). While these models incorporate multi-dimensionality and architectural stresses, study of the consequent effects on cells is less facile than in two-dimensional tissue culture due to the limitations of the models and the difficulty in extracting cells for subsequent analysis. The important role of the microenvironment around tumors in tumorigenesis and tumor behavior is becoming increasingly recognized(4). Tumor stroma is composed of multiple cell types and extracellular molecules. During tumor development there are bidirectional signals between tumor cells and stromal cells(5). Although some factors participating in tumor-stroma co-evolution have been identified, there is still a need to develop simple techniques to systematically identify and study the full array of these signals(6). Fibroblasts are the most abundant cell type in normal or tumor-associated stromal tissues, and contribute to deposition and maintenance of basement membrane and paracrine growth factors(7). Many groups have used three dimensional culture systems to study the role of fibroblasts on various cellular functions, including tumor response to therapies, recruitment of immune cells, signaling molecules, proliferation, apoptosis, angiogenesis, and invasion(8-15). We have optimized a simple method for assessing the effects of mammary fibroblasts on mammary epithelial cells using a commercially available extracellular matrix model to create three-dimensional cultures of mixed cell populations (co-cultures)(16-22). With continued co-culture the cells form spheroids with the fibroblasts clustering in the interior and the epithelial cells largely on the exterior of the spheroids and forming multi-cellular projections into the matrix. Manipulation of the fibroblasts that leads to altered epithelial cell invasiveness can be readily quantified by changes in numbers and length of epithelial projections(23). Furthermore, we have devised a method for isolating epithelial cells out of three-dimensional co-culture that facilitates analysis of the effects of fibroblast exposure on epithelial behavior. We have found that the effects of co-culture persist for weeks after epithelial cell isolation, permitting ample time to perform multiple assays. This method is adaptable to cells of varying malignant potential and requires no specialized equipment. This technique allows for rapid evaluation of in vitro cell models under multiple conditions, and the corresponding results can be compared to in vivo animal tissue models as well as human tissue samples.
尽管人们付出了巨大努力来识别参与正常和恶性细胞行为的信号通路和分子(1-2),但其中大部分工作是使用经典的二维细胞培养模型完成的,这种模型便于细胞操作。很明显,细胞内信号通路会受到细胞外作用力的影响,包括维度和细胞表面张力(3-4)。人们采取了多种方法来开发更准确代表生物组织结构的三维模型(3)。虽然这些模型纳入了多维度和结构应力,但由于模型的局限性以及提取细胞进行后续分析的困难,研究其对细胞的后续影响比二维组织培养更不容易。肿瘤周围微环境在肿瘤发生和肿瘤行为中的重要作用越来越受到认可(4)。肿瘤基质由多种细胞类型和细胞外分子组成。在肿瘤发展过程中,肿瘤细胞和基质细胞之间存在双向信号(5)。尽管已经确定了一些参与肿瘤-基质共同进化的因素,但仍需要开发简单技术来系统地识别和研究这些信号的全貌(6)。成纤维细胞是正常或肿瘤相关基质组织中最丰富的细胞类型,有助于基底膜和旁分泌生长因子的沉积和维持(7)。许多研究小组使用三维培养系统来研究成纤维细胞对各种细胞功能的作用,包括肿瘤对治疗的反应、免疫细胞的募集、信号分子、增殖、凋亡、血管生成和侵袭(8-15)。我们优化了一种简单方法,利用市售的细胞外基质模型评估乳腺成纤维细胞对乳腺上皮细胞的影响,以创建混合细胞群体的三维培养物(共培养物)(16-22)。随着共培养的持续进行,细胞形成球体,成纤维细胞聚集在内部,上皮细胞主要位于球体外部,并向基质中形成多细胞突起。通过上皮突起数量和长度的变化,可以很容易地量化导致上皮细胞侵袭性改变的成纤维细胞操作(23)。此外,我们设计了一种从三维共培养物中分离上皮细胞的方法,便于分析成纤维细胞暴露对上皮行为的影响。我们发现,共培养的影响在上皮细胞分离后持续数周,有足够的时间进行多次检测。该方法适用于具有不同恶性潜能的细胞,且不需要专门设备。这项技术允许在多种条件下快速评估体外细胞模型,相应结果可以与体内动物组织模型以及人类组织样本进行比较。