Sibley School of Mechanical and Aerospace Engineering, Cornell University , Ithaca, New York 14853, USA.
Department of Biomedical Engineering, Cornell University , Ithaca, New York 14853, USA.
Biomicrofluidics. 2015 Feb 10;9(1):014116. doi: 10.1063/1.4908049. eCollection 2015 Jan.
The capture and subsequent analysis of rare cells, such as circulating tumor cells from a peripheral blood sample, has the potential to advance our understanding and treatment of a wide range of diseases. There is a particular need for high purity (i.e., high specificity) techniques to isolate these cells, reducing the time and cost required for single-cell genetic analyses by decreasing the number of contaminating cells analyzed. Previous work has shown that antibody-based immunocapture can be combined with dielectrophoresis (DEP) to differentially isolate cancer cells from leukocytes in a characterization device. Here, we build on that work by developing numerical simulations that identify microfluidic obstacle array geometries where DEP-immunocapture can be used to maximize the capture of target rare cells, while minimizing the capture of contaminating cells. We consider geometries with electrodes offset from the array and parallel to the fluid flow, maximizing the magnitude of the resulting electric field at the obstacles' leading and trailing edges, and minimizing it at the obstacles' shoulders. This configuration attracts cells with a positive DEP (pDEP) response to the leading edge, where the shear stress is low and residence time is long, resulting in a high capture probability; although these cells are also repelled from the shoulder region, the high local fluid velocity at the shoulder minimizes the impact on the overall transport and capture. Likewise, cells undergoing negative DEP (nDEP) are repelled from regions of high capture probability and attracted to regions where capture is unlikely. These simulations predict that DEP can be used to reduce the probability of capturing contaminating peripheral blood mononuclear cells (using nDEP) from 0.16 to 0.01 while simultaneously increasing the capture of several pancreatic cancer cell lines from 0.03-0.10 to 0.14-0.55, laying the groundwork for the experimental study of hybrid DEP-immunocapture obstacle array microdevices.
从外周血样本中捕获并随后分析稀有细胞,如循环肿瘤细胞,具有推进我们对广泛疾病的理解和治疗的潜力。需要特别使用高纯度(即高特异性)技术来分离这些细胞,通过减少分析的污染细胞数量,减少单细胞遗传分析所需的时间和成本。先前的工作表明,基于抗体的免疫捕获可以与介电泳(DEP)结合使用,以在特征化设备中从白细胞中差异分离癌细胞。在这里,我们通过开发数值模拟来进一步研究该工作,该模拟确定了微流控障碍物阵列的几何形状,其中DEP-免疫捕获可用于最大程度地捕获目标稀有细胞,同时最小化对污染细胞的捕获。我们考虑了电极从阵列偏移且与流体流动平行的几何形状,从而最大化了障碍物前缘和后缘处产生的电场的幅度,并最小化了障碍物肩部处的电场幅度。这种配置吸引了对正介电泳(pDEP)有反应的细胞,它们在前缘处的剪切应力较低,停留时间较长,从而具有较高的捕获概率;尽管这些细胞也会从肩部区域被排斥,但肩部区域的局部高速流体速度最小化了对整体传输和捕获的影响。同样,经历负介电泳(nDEP)的细胞会从高捕获概率区域被排斥,并被吸引到不太可能捕获的区域。这些模拟预测,DEP 可用于将捕获污染的外周血单核细胞的概率(使用 nDEP)从 0.16 降低到 0.01,同时将几种胰腺癌细胞系的捕获率从 0.03-0.10 提高到 0.14-0.55,为杂交 DEP-免疫捕获障碍物阵列微器件的实验研究奠定了基础。