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Profiling distinct mechanisms of tumour invasion for drug discovery: imaging adhesion, signalling and matrix turnover

机译:为药物发现分析肿瘤入侵的不同机制:成像粘附,信号传导和基质更新

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摘要

Recent advances in microscopic imaging technology, fluorescent reporter reagents, 3-dimensional (3D) cell models and multiparametric image analysis have enhanced our ability to model and understand complex cell physiology. Extension of these approaches to live cell, kinetic studies allows further spatial and temporal understanding of a multitude of dynamic functional events, including tumour cell invasion. Recent in vivo and 3D in vitro studies reveal how tumour cells utilize a diverse variety of mechanisms to permit invasion through 3D tissue environments. Such high degrees of diversity and plasticity between invasion mechanisms present a significant challenge to the successful treatment of malignant cancer. This review examines how advances in time-resolved imaging has contributed to the characterization of distinct modes of invasion and their associated molecular mechanisms. Specifically, we highlight the development of fluorescent reporter molecules and their incorporation into more predictive 3D in vitro and in vivo models, to enhance mechanistic analysis of tumour invasion. We also highlight the latest advances in kinetic imaging instrumentation applicable to in vitro and in vivo models of tumour invasion. We discuss how multiparametric image analysis can be used to interpret image data generated by these approaches. We further discuss how these approaches can be integrated into drug discovery pipelines to facilitate evaluation and selection of candidate drugs and novel pharmaceutical compositions, targeting multiple invasive mechanisms.
机译:显微成像技术,荧光报告试剂,3维(3D)细胞模型和多参数图像分析的最新进展增强了我们对复杂细胞生理学进行建模和理解的能力。通过将这些方法扩展到活细胞,动力学研究可以进一步了解包括肿瘤细胞入侵在内的多种动态功能事件。最近的体内和3D体外研究揭示了肿瘤细胞如何利用多种机制允许通过3D组织环境的侵袭。入侵机制之间的高度多样性和可塑性对成功治疗恶性肿瘤提出了重大挑战。这项审查检查时间分辨成像的进展如何对不同的入侵模式及其相关的分子机制的表征作出了贡献。具体来说,我们重点介绍了荧光报告分子的发展及其在体外和体内3D模型中更具预测性的结合,以增强肿瘤侵袭的机理分析。我们还将重点介绍适用于肿瘤侵袭的体外和体内模型的动力学成像仪器的最新进展。我们讨论如何使用多参数图像分析来解释这些方法生成的图像数据。我们将进一步讨论如何将这些方法整合到药物开发流程中,以促进针对多种侵入性机制的候选药物和新型药物组合物的评估和选择。

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