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微流控单细胞蛋白质组学检测芯片:肺癌细胞系案例研究

Microfluidic Single-Cell Proteomics Assay Chip: Lung Cancer Cell Line Case Study.

作者信息

Jung Yugyung, Son Minkook, Nam Yu Ri, Choi Jongchan, Heath James R, Yang Sung

机构信息

Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Korea.

Department of Chemistry, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea.

出版信息

Micromachines (Basel). 2021 Sep 23;12(10):1147. doi: 10.3390/mi12101147.

Abstract

Cancer is a dynamic disease involving constant changes. With these changes, cancer cells become heterogeneous, resulting in varying sensitivity to chemotherapy. The heterogeneity of cancer cells plays a key role in chemotherapy resistance and cancer recurrence. Therefore, for effective treatment, cancer cells need to be analyzed at the single-cell level by monitoring various proteins and investigating their heterogeneity. We propose a microfluidic chip for a single-cell proteomics assay that is capable of analyzing complex cellular signaling systems to reveal the heterogeneity of cancer cells. The single-cell assay chip comprises (i) microchambers ( = 1376) for manipulating single cancer cells, (ii) micropumps for rapid single-cell lysis, and (iii) barcode immunosensors for detecting nine different secretory and intracellular proteins to reveal the correlation among cancer-related proteins. Using this chip, the single-cell proteomics of a lung cancer cell line, which may be easily masked in bulk analysis, were evaluated. By comparing changes in the level of protein secretion and heterogeneity in response to combinations of four anti-cancer drugs, this study suggests a new method for selecting the best combination of anti-cancer drugs. Subsequent preclinical and clinical trials should enable this platform to become applicable for patient-customized therapies.

摘要

癌症是一种涉及持续变化的动态疾病。随着这些变化,癌细胞变得异质性,导致对化疗的敏感性各不相同。癌细胞的异质性在化疗耐药性和癌症复发中起着关键作用。因此,为了进行有效治疗,需要通过监测各种蛋白质并研究其异质性,在单细胞水平上对癌细胞进行分析。我们提出了一种用于单细胞蛋白质组学分析的微流控芯片,它能够分析复杂的细胞信号系统以揭示癌细胞的异质性。单细胞分析芯片包括:(i)用于操控单个癌细胞的微腔室(= 1376个),(ii)用于快速单细胞裂解的微型泵,以及(iii)用于检测九种不同分泌蛋白和细胞内蛋白以揭示癌症相关蛋白之间相关性的条形码免疫传感器。使用该芯片,评估了一种肺癌细胞系的单细胞蛋白质组学,其在批量分析中可能容易被掩盖。通过比较四种抗癌药物组合对蛋白质分泌水平和异质性变化的影响,本研究提出了一种选择最佳抗癌药物组合的新方法。随后的临床前和临床试验应能使该平台适用于患者定制疗法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17d5/8541572/e98f57591b7e/micromachines-12-01147-g001.jpg

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