NanoSystems Biology Cancer Center and Kavli Nanoscience Institute, Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States.
Nano Lett. 2012 Dec 12;12(12):6101-6. doi: 10.1021/nl302748q. Epub 2012 Nov 7.
We report on a method for quantitating the distance dependence of cell-cell interactions. We employ a microchip design that permits a multiplex, quantitative protein assay from statistical numbers of cell pairs, as a function of cell separation, with a 0.15 nL volume microchamber. We interrogate interactions between pairs of model brain cancer cells by assaying for six functional proteins associated with PI3k signaling. At short incubation times, cells do not appear to influence each other, regardless of cell separation. For 6 h incubation times, the cells exert an inhibiting influence on each other at short separations and a predominately activating influence at large separation. Protein-specific cell-cell interaction functions are extracted, and by assuming pairwise additivity of those interactions, the functions are shown to correctly predict the results from three-cell experiments carried out under the identical conditions.
我们报告了一种定量细胞间相互作用距离依赖性的方法。我们采用微芯片设计,允许从统计学数量的细胞对中进行多重、定量的蛋白质分析,作为细胞分离的函数,使用 0.15nL 体积的微腔室。我们通过检测与 PI3k 信号相关的六种功能蛋白来研究模型脑癌细胞之间的相互作用。在短孵育时间内,无论细胞分离如何,细胞似乎都不会相互影响。对于 6 小时的孵育时间,细胞在短距离时相互抑制,在大距离时主要起激活作用。提取了蛋白特异性的细胞-细胞相互作用函数,并假设这些相互作用是可加的,这些函数被证明可以正确预测在相同条件下进行的三细胞实验的结果。