Advances in optical imaging and novel model systems for cancer metastasis research

Advances in optical imaging and novel model systems for cancer metastasis research
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DOI:
10.1007/s10585-007-9115-5
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发表时间:
2007-11-01
影响因子:
4
通讯作者:
van der Pluijm, Gabri
van der Pluijm, Gabri
中科院分区:
医学3区
文献类型:
--
作者:
Henriquez, Nico V.;van Overveld, Petra G. M.;van der Pluijm, Gabri

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研究肿瘤与其宿主环境的遗传和生理相互作用需要体内测定来解决分子表达模式和功能。近年来,这项工作的大部分已经使用生物发光和荧光成像技术进行,这些技术允许对基因表达和(肿瘤)组织发育进行实时和非侵入性成像。到目前为止,发光成像或多或少是唯一允许骨内乳腺癌细胞成像的工具,实际上,这项技术已经在我们的实验室中开创。在这里,我们总结了一些最新的创新和发展,使用癌细胞和一些第一成像模型的多模态双发光和发光结合荧光的骨内肿瘤。我们进一步设计了我们的模型,在基因组中加入了一个特定的插入位点,并将讨论一些可能的应用。这些包括信号通路特异性报告基因的插入,以及研究单个小鼠中多个注射群体的命运。我们的结论是,最近在发光和荧光检测平台的改进,现在清楚地允许多模态成像,这将大大提高我们的能力,以评估基因功能,并首次可视化多个基因和细胞的相互作用,在真实的时间和体内。
Research into the genetic and physiological interactions of tumours with their host environment requires in vivo assays to address molecular expression patterns and function. In recent years much of this work has been performed using bioluminescent and fluorescent imaging techniques that allow real-time and non-invasive imaging of gene expression and (tumour) tissue development. Luminescence imaging has until now been more or less the only tool that allows the imaging of intra-osseous breast cancer cells and indeed this technique has been pioneered in our laboratory. Here we summarise some recent innovations and developments using cancer cells and some of the first imaging models of multimodal dual luminescence and luminescence combined with fluorescence of intra-osseous tumours. We further engineered our models to incorporate a specific insertion site in the genome and will discuss some of the possible applications. These include the insertion of signalling pathway-specific reporters and studying the fate of multiple injected populations in a single mouse. We conclude that recent improvements in luminescence- and fluorescence-detection platforms now clearly allow multimodal imaging which will greatly enhance our ability to assess gene function and for the first time to visualise multiple gene- and cellular interactions in real time and in vivo.