A three-dimensional in vitro ovarian cancer coculture model using a high-throughput cell patterning platform.
A three-dimensional in vitro ovarian cancer coculture model using a high-throughput cell patterning platform.
复制标题
DOI：
10.1002/biot.201000340
复制
发表时间：
2011-02
影响因子：
4.7
通讯作者：
Demirci, Utkan
中科院分区：
文献类型：
--
作者：
Xu, Feng;Celli, Jonathan;Rizvi, Imran;Moon, Sangjun;Hasan, Tayyaba;Demirci, Utkan
体外3D癌症模型，提供了一个更准确的代表性的疾病在体内是迫切需要的，以提高我们对癌症病理学的理解，并开发更好的癌症治疗。然而，基于从微量移液器手动排出细胞的3D模型的开发受到固有的限制，例如对细胞密度的控制差、有限的可重复性、低通量，以及在共培养模型的情况下，缺乏对细胞类型之间的空间距离（例如，癌和基质细胞）。在这项研究中，我们建立了一个最近引入的3D模型，其中人类卵巢癌（OVCAR-5）细胞覆盖在Matrigel™上自发形成多细胞腺泡。我们引入了一种高通量的自动化细胞打印系统，使用在Matrigel™上微图案化的癌细胞和正常成纤维细胞来生物打印3D共培养模型。两种细胞类型在空间控制的微环境（例如，细胞密度、细胞-细胞距离）;两种细胞类型在印刷期间保持活力，并在图案化后继续增殖。这种方法能够实现已建立的宏观尺度3D培养模型的小型化，并将允许系统地研究肿瘤和基质细胞之间的多种未知的调节反馈机制，并为高通量药物筛选提供工具。
In vitro 3D cancer models that provide a more accurate representation of disease in vivo are urgently needed to improve our understanding of cancer pathology and to develop better cancer therapies. However, development of 3D models that are based on manual ejection of cells from micropipettes suffer from inherent limitations such as poor control over cell density, limited repeatability, low throughput, and, in the case of coculture models, lack of reproducible control over spatial distance between cell types (e.g., cancer and stromal cells). In this study, we build on a recently introduced 3D model in which human ovarian cancer (OVCAR-5) cells overlaid on Matrigel™ spontaneously form multicellular acini. We introduce a high-throughput automated cell printing system to bioprint a 3D coculture model using cancer cells and normal fibroblasts micropatterned on Matrigel™. Two cell types were patterned within a spatially controlled microenvironment (e.g., cell density, cell-cell distance) in a high-throughput and reproducible manner; both cell types remained viable during printing and continued to proliferate following patterning. This approach enables the miniaturization of an established macro-scale 3D culture model and would allow systematic investigation into the multiple unknown regulatory feedback mechanisms between tumor and stromal cells and provide a tool for high-throughput drug screening.
登录
查看更多内容
影响因子：
4.7
作者：
Boland, Thomas;Xu, Tao;Cui, Xiaofeng
通讯作者：
Cui, Xiaofeng
影响因子：
11.2
作者：
Rahmanzadeh, Ramtin;Rai, Prakash;Hasan, Tayyaba
通讯作者：
Hasan, Tayyaba
影响因子：
14
作者：
Roth, EA;Xu, T;Boland, T
通讯作者：
Boland, T
DOI：
10.1073/pnas.0608660104
发表时间：
2007-04-03
影响因子：
11.1
作者：
Hui, Elliot E.;Bhatia, Sangeeta N.
通讯作者：
Bhatia, Sangeeta N.
影响因子：
2.7
作者：
Cho CH;Park J;Tilles AW;Berthiaume F;Toner M;Yarmush ML
通讯作者：
Yarmush ML