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Single-Cell Codetection of Metabolic Activity, Intracellular Functional Proteins, and Genetic Mutations from Rare Circulating Tumor Cells

机译:代谢活动,细胞内功能蛋白和罕见循环肿瘤细胞遗传突变的单细胞共检测

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摘要

The high glucose uptake and activation of oncogenic signaling pathways in cancer cells has long made these features, together with the mutational spectrum, prime diagnostic targets of circulating tumor cells (CTCs). Further, an ability to characterize these properties at a single cell resolution is widely believed to be essential, as the known extensive heterogeneity in CTCs can obscure important correlations in data obtained from cell population-based methods. However, to date, it has not been possible to quantitatively measure metabolic, proteomic, and genetic data from a single CTC. Here we report a microchip-based approach that allows for the codetection of glucose uptake, intracellular functional proteins, and genetic mutations at the single-cell level from rare tumor cells. The microchip contains thousands of nanoliter grooves (nanowells) that isolate individual CTCs and allow for the assessment of their glucose uptake via imaging of a fluorescent glucose analog, quantification of a panel of intracellular signaling proteins using a miniaturized antibody barcode microarray, and retrieval of the individual cell nuclei for subsequent off-chip genome amplification and sequencing. This approach integrates molecular-scale information on the metabolic, proteomic, and genetic status of single cells and permits the inference of associations between genetic signatures, energy consumption, and phosphoproteins oncogenic signaling activities in CTCs isolated from blood samples of patients. Importantly, this microchip chip-based approach achieves this multidimensional molecular analysis with minimal cell loss (<20%), which is the bottleneck of the rare cell analysis.
机译:癌细胞中高糖摄取和致癌信号通路的激活早已使这些功能以及突变谱成为循环肿瘤细胞(CTC)的主要诊断目标。此外,广泛认为在单个细胞分辨率下表征这些特性的能力至关重要,因为CTC中已知的广泛异质性会掩盖从基于细胞群体的方法获得的数据中的重要相关性。但是,迄今为止,尚不可能从单个CTC定量测量代谢,蛋白质组和遗传数据。在这里,我们报告了一种基于微芯片的方法,该方法可以对罕见肿瘤细胞的单细胞水平上的葡萄糖摄取,细胞内功能蛋白和遗传突变进行编码检测。该微芯片包含数千个纳升的凹槽(纳孔),这些凹槽可分离单个CTC,并允许通过荧光葡萄糖类似物的成像,使用小型化的抗体条形码微阵列对一组细胞内信号蛋白的定量以及对CTC的回收进行评估。单个细胞核,用于随后的芯片外基因组扩增和测序。这种方法整合了有关单细胞代谢,蛋白质组学和遗传状态的分子规模信息,并可以推断出从患者血液样本中分离出的CTC中的遗传标志,能量消耗和磷蛋白致癌信号活动之间的关联。重要的是,这种基于微芯片芯片的方法以最小的细胞损失(<20%)实现了多维分子分析,这是稀有细胞分析的瓶颈。

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