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首页> 外文期刊>Integrative Biology: quantitative biosciences from nano to macro >Lymphoidal chemokine CCL19 promoted the heterogeneity of the breast tumor cell motility within a 3D microenvironment revealed by a Levy distribution analysis
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Lymphoidal chemokine CCL19 promoted the heterogeneity of the breast tumor cell motility within a 3D microenvironment revealed by a Levy distribution analysis

机译:淋巴结趋化因子CCL19促进了通过征收分布分析显示的3D微环境内的乳腺肿瘤细胞活性的异质性

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摘要

Tumor cell heterogeneity, either at the genotypic or the phenotypic level, is a hallmark of cancer. Tumor cells exhibit large variations, even among cells derived from the same origin, including cell morphology, speed and motility type. However, current work for quantifying tumor cell behavior is largely population based and does not address the question of cell heterogeneity. In this article, we utilize Levy distribution analysis, a method known in both social and physical sciences for quantifying rare events, to characterize the heterogeneity of tumor cell motility. Specifically, we studied the breast tumor cell (MDA-MB-231 cell line) velocity statistics when the cells were subject to well-defined lymphoid chemokine (CCL19) gradients using a microf luidic platform. Experimental results showed that the tail end of the velocity distribution of breast tumor cell was well described by a Levy function. The measured Levy exponent revealed that cell motility was more heterogeneous when CCL19 concentration was near the dynamic kinetic binding constant to its corresponding receptor CCR7. This work highlighted the importance of tumor microenvironment in modulating tumor cell heterogeneity and invasion.
机译:肿瘤细胞异质性,无论是基因型还是表型水平,都是癌症的标志。肿瘤细胞甚至衍生自相同来源的细胞,包括细胞形态,速度和运动型,肿瘤细胞表现出大的变化。然而,用于量化肿瘤细胞行为的当前工作基于群体基于群体,并且不会解决细胞异质性的问题。在本文中,我们利用征收分布分析,其社会和物理学中已知的方法,用于量化罕见事件,以表征肿瘤细胞运动的异质性。具体而言,当使用Microf Luidic平台将细胞受到明确定义的淋巴结趋化因子(CCL19)梯度时,我们研究了乳腺肿瘤细胞(MDA-MB-231细胞系)速度统计。实验结果表明,乳腺肿瘤细胞速度分布的尾端通过征集功能很好地描述。测量的征收指数显示,当CCL19浓度接近其相应的受体CCR7时,当CCL19浓度附近时,细胞运动更加异质。这项工作强调了肿瘤微环境在调节肿瘤细胞异质性和侵袭中的重要性。

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