使用微流控流式细胞术和质谱法对单细胞中的生物标志物和药物摄取进行多重分析。

Multiplex Profiling of Biomarker and Drug Uptake in Single Cells Using Microfluidic Flow Cytometry and Mass Spectrometry.

机构信息

Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Box 332, Shenyang 110819, China.

Institute for Health Innovation and Technology, National University of Singapore, 117599, Singapore.

出版信息

ACS Nano. 2024 Feb 27;18(8):6612-6622. doi: 10.1021/acsnano.3c12803. Epub 2024 Feb 15.

Abstract

To perform multiplex profiling of single cells and eliminate the risk of potential sample loss caused by centrifugation, we developed a microfluidic flow cytometry and mass spectrometry system (μCytoMS) to evaluate the drug uptake and induced protein expression at the single cell level. It involves a microfluidic chip for the alignment and purification of single cells followed by detection with laser-induced fluorescence (LIF) and inductively coupled plasma mass spectrometry (ICP-MS). Biofunctionalized nanoprobes (BioNPs), conjugating ∼3000 6-FAM-Sgc8 aptamers on a single gold nanoparticle (AuNP) ( = 0.23 nM), were engineered to selectively bind with protein tyrosine kinase 7 (PTK7) on target cells. PTK7 expression induced by oxaliplatin (OXA) uptake was assayed with LIF, while ICP-MS measurement of Pt revealed OXA uptake of the drug in individual cells, which provided further in-depth information about the drug in relation to PTK7 expression. At an ultralow flow of ∼0.043 dyn/cm (20 μL/min), the chip facilitates the extremely fast focusing of BioNPs labeled single cells without the need for centrifugal purification. It ensures multiplex profiling of single cells at a throughput speed of 500 cells/min as compared to 40 cells/min in previous studies. Using a machine learning algorithm to initially profile drug uptake and marker expression in tumor cell lines, μCytoMS was able to perform profiling of the PTK7 response to the OXA at single-cell resolution for tests done on clinical samples from 10 breast cancer patients. It offers great potential for multiplex single-cell phenotypic analysis and clinical diagnosis.

摘要

为了对单细胞进行多重分析,并消除由于离心导致的潜在样本损失的风险,我们开发了一种微流控流式细胞术和质谱系统(μCytoMS),以评估单细胞水平的药物摄取和诱导的蛋白质表达。它涉及一种微流控芯片,用于对齐和纯化单细胞,然后通过激光诱导荧光(LIF)和电感耦合等离子体质谱(ICP-MS)进行检测。生物功能化纳米探针(BioNPs),将约 3000 个 6-FAM-Sgc8 适体连接到单个金纳米颗粒(AuNP)上(= 0.23 nM),被设计用于选择性地与靶细胞上的蛋白酪氨酸激酶 7(PTK7)结合。用 LIF 测定由奥沙利铂(OXA)摄取诱导的 PTK7 表达,而 ICP-MS 测量 Pt 揭示了药物在单个细胞中的摄取,这提供了与 PTK7 表达有关的药物的更深入信息。在超低流速约 0.043 dyn/cm(20 μL/min)下,芯片无需离心纯化即可促进生物标记的单细胞的极其快速聚焦。与以前的研究相比,它以 500 个细胞/分钟的速度实现了单细胞的高通量分析,而以前的研究为 40 个细胞/分钟。使用机器学习算法对肿瘤细胞系中的药物摄取和标记物表达进行初步分析,μCytoMS 能够以单细胞分辨率对 10 名乳腺癌患者的临床样本进行的 OXA 对 PTK7 反应进行分析。它为多功能单细胞表型分析和临床诊断提供了巨大的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f033/10906074/e3cc7c5fe896/nn3c12803_0005.jpg

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