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采用平行 EpCAM 和 MUC1 捕获的微流控免疫捕获循环胰腺细胞:特征描述、优化和下游分析。

Microfluidic immunocapture of circulating pancreatic cells using parallel EpCAM and MUC1 capture: characterization, optimization and downstream analysis.

机构信息

Department of Biomedical Engineering, College of Engineering, Cornell University, Ithaca, NY 14853, USA.

出版信息

Lab Chip. 2014 May 21;14(10):1775-84. doi: 10.1039/c4lc00041b. Epub 2014 Mar 28.

DOI:10.1039/c4lc00041b
PMID:24681997
Abstract

We have developed and optimized a microfluidic device platform for the capture and analysis of circulating pancreatic cells (CPCs) and pancreatic circulating tumor cells (CTCs). Our platform uses parallel anti-EpCAM and cancer-specific mucin 1 (MUC1) immunocapture in a silicon microdevice. Using a combination of anti-EpCAM and anti-MUC1 capture in a single device, we are able to achieve efficient capture while extending immunocapture beyond single marker recognition. We also have detected a known oncogenic KRAS mutation in cells spiked in whole blood using immunocapture, RNA extraction, RT-PCR and Sanger sequencing. To allow for downstream single-cell genetic analysis, intact nuclei were released from captured cells by using targeted membrane lysis. We have developed a staining protocol for clinical samples, including standard CTC markers; DAPI, cytokeratin (CK) and CD45, and a novel marker of carcinogenesis in CPCs, mucin 4 (MUC4). We have also demonstrated a semi-automated approach to image analysis and CPC identification, suitable for clinical hypothesis generation. Initial results from immunocapture of a clinical pancreatic cancer patient sample show that parallel capture may capture more of the heterogeneity of the CPC population. With this platform, we aim to develop a diagnostic biomarker for early pancreatic carcinogenesis and patient risk stratification.

摘要

我们开发并优化了一种用于捕获和分析循环胰腺细胞 (CPCs) 和胰腺循环肿瘤细胞 (CTCs) 的微流控设备平台。我们的平台在硅微器件中使用平行的抗-EpCAM 和癌症特异性粘蛋白 1 (MUC1) 免疫捕获。通过在单个设备中结合使用抗-EpCAM 和抗-MUC1 捕获,我们能够实现高效捕获,同时将免疫捕获扩展到单个标记物识别之外。我们还使用免疫捕获、RNA 提取、RT-PCR 和 Sanger 测序在全血中掺入的细胞中检测到已知的致癌 KRAS 突变。为了允许下游单细胞遗传分析,通过靶向膜裂解从捕获的细胞中释放完整的核。我们已经开发了一种用于临床样本的染色方案,包括标准 CTC 标记物;DAPI、细胞角蛋白 (CK) 和 CD45,以及 CPC 癌变的新型标志物粘蛋白 4 (MUC4)。我们还展示了一种适用于临床假设生成的半自动图像分析和 CPC 识别方法。从临床胰腺癌患者样本的免疫捕获初步结果表明,平行捕获可能会捕获更多 CPC 群体的异质性。通过这个平台,我们旨在开发一种用于早期胰腺癌发生和患者风险分层的诊断生物标志物。

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