Materials Science Program, University of Wisconsin-Madison, Madison, WI, USA.
Integr Biol (Camb). 2013 Mar;5(3):631-40. doi: 10.1039/c3ib20225a.
During breast carcinoma progression, the three-dimensional (3D) microenvironment is continuously remodeled, and changes in the composition of the extracellular matrix (ECM) occur. High throughput screening platforms have been used to decipher the complexity of the microenvironment and to identify ECM components responsible for cancer progression. However, traditional screening platforms are typically limited to two-dimensional (2D) cultures, and often exclude the influence of ECM and stromal components. In this work, a system that integrates 3-dimensional cell culture techniques with an automated microfluidic platform was used to create a new ECM screening platform that cultures cells in more physiologically relevant 3D in vitro microenvironments containing stromal cells and different ECM molecules. This new ECM screening platform was used to culture T47D breast carcinoma cells in mono- and co-culture with human mammary fibroblasts (HMF) with seven combinations of three different ECM proteins (collagen, fibronectin, laminin). Differences in the morphology of T47D clusters, and the proliferation of T47D cells were found in ECM compositions rich in fibronectin or laminin. In addition, an MMP enzyme activity inhibition screening showed the capabilities of the platform for small molecule screening. The platform presented in this work enables screening for the effects of matrix and stromal compositions and show promises for providing new insights in the identification of key ECM components involved in breast cancer.
在乳腺癌进展过程中,三维(3D)微环境不断重塑,细胞外基质(ECM)的组成发生变化。高通量筛选平台已被用于破译微环境的复杂性,并确定负责癌症进展的 ECM 成分。然而,传统的筛选平台通常仅限于二维(2D)培养,并且经常排除 ECM 和基质成分的影响。在这项工作中,一种将 3 维细胞培养技术与自动化微流控平台集成的系统被用于创建新的 ECM 筛选平台,该平台在包含基质细胞和不同 ECM 分子的更生理相关的 3D 体外微环境中培养细胞。该新的 ECM 筛选平台用于在含有三种不同 ECM 蛋白(胶原蛋白、纤连蛋白、层粘连蛋白)的七种组合中,对 T47D 乳腺癌细胞进行单核和共培养。在富含纤连蛋白或层粘连蛋白的 ECM 组成中,发现 T47D 细胞簇的形态和增殖存在差异。此外,MMP 酶活性抑制筛选显示了该平台进行小分子筛选的能力。本文介绍的平台能够筛选基质和基质组成的影响,并有望为确定参与乳腺癌的关键 ECM 成分提供新的见解。