Ren Xiang, Ghassemi Parham, Strobl Jeannine S, Agah Masoud
The Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, USA.
Biomicrofluidics. 2019 Jul 18;13(4):044103. doi: 10.1063/1.5099269. eCollection 2019 Jul.
This paper describes a new microfluidic biosensor with capabilities of studying single cell biophysical properties. The chip contains four parallel sensing channels, where each channel includes two constriction regions separated by a relaxation region. All channels share a pair of electrodes to record the electrical impedance. Single cell impedance magnitudes and phases at different frequencies were obtained. The deformation and transition time information of cells passing through two sequential constriction regions were gained from the time points on impedance magnitude variations. Constriction channels separated by relaxation regions have been proven to improve the sensitivity of distinguishing single cells. The relaxation region between two sequential constriction channels provides extra time stamps that can be identified in the impedance plots. The new chip allows simultaneous measurement of the biophysical attributes of multiple cells in different channels, thereby increasing the overall throughput of the chip. Using the biomechanical parameters represented by the time stamps in the impedance results, breast cancer cells (MDA-MB-231) and the normal epithelial cells (MCF-10A) could be distinguished by 85%. The prediction accuracy at the single-cell level reached 97% when both biomechanical and bioelectrical parameters were utilized. While the new label-free assay has been tested to distinguish between normal and cancer cells, its application can be extended to include cell-drug interactions and circulating tumor cell detection in blood.
本文描述了一种具有研究单细胞生物物理特性能力的新型微流控生物传感器。该芯片包含四个平行的传感通道,每个通道包括两个由松弛区域隔开的收缩区域。所有通道共享一对电极来记录电阻抗。获得了不同频率下单细胞的阻抗幅值和相位。通过阻抗幅值变化的时间点获得了细胞通过两个连续收缩区域时的变形和过渡时间信息。已证明由松弛区域隔开的收缩通道可提高区分单细胞的灵敏度。两个连续收缩通道之间的松弛区域提供了额外的时间标记,可在阻抗图中识别。这种新型芯片允许同时测量不同通道中多个细胞的生物物理属性,从而提高芯片的整体通量。利用阻抗结果中时间标记所代表的生物力学参数,乳腺癌细胞(MDA-MB-231)和正常上皮细胞(MCF-10A)的区分准确率可达85%。当同时利用生物力学和生物电参数时,单细胞水平的预测准确率达到97%。虽然这种新型无标记检测方法已被测试用于区分正常细胞和癌细胞,但其应用可扩展到包括细胞-药物相互作用和血液中循环肿瘤细胞的检测。