Single-Cell Digital Microfluidic Mass Spectrometry Platform for Efficient and Multiplex Genotyping of Circulating Tumor Cells
journal contributionposted on 2021-12-29, 11:29 authored by Qingyu Ruan, Jian Yang, Fenxiang Zou, Xiaofeng Chen, Qianqian Zhang, Kaifeng Zhao, Xiaoye Lin, Xi Zeng, Xiyuan Yu, Lingling Wu, Shuichao Lin, Zhi Zhu, Chaoyong Yang
Gene mutation profiling of heterogeneous circulating tumor cells (CTCs) offers comprehensive and real-time molecular information of tumors for targeted therapy guidance, but the lack of efficient and multiplex genotyping techniques for single-CTC analysis greatly hinders its development and clinical application. This paper reports a single-CTC mass spectrometry analysis method for efficient and multiplex mutation profiling based on digital microfluidics. Digital microfluidics affords integrated single-CTC manipulation, from single-CTC isolation to high-performance whole genome amplification, via nanoliter droplet-based wettability trapping and hydrodynamic adjustment of cell distribution. Coupled with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry, multiplex mutation information of individual CTCs can be efficiently and accurately identified by the inherent mass differences of different DNA sequences. This platform achieves Kirsten rat sarcoma viral oncogene mutation profiling of heterogeneous CTCs at the single-cell level from cancer patient samples, offering new avenues for genotype profiling of single CTCs and cancer therapy guidance.
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via nanoliter droplettargeted therapy guidanceoffering new avenuesinherent mass differencesflight mass spectrometrydifferent dna sequencescancer therapy guidancecancer patient samplesbased wettability trappingassisted laser desorptionmultiplex mutation informationtime molecular informationmultiplex genotyping techniquesmultiplex genotypingionization timepaper reportsoffers comprehensivehydrodynamic adjustmentgenotype profilingdigital microfluidicsctc manipulationctc isolationclinical applicationcell levelcell distributionaccurately identified