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In situ, dual-mode monitoring of organ-on-a-chip with smartphone-based fluorescence microscope

机译:基于智能手机的荧光显微镜原位,双模式监测芯片上的器官

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The use of organ-on-a-chip (OOC) platforms enables improved simulation of the human kidney's response to nephrotoxic drugs. The standard method of analyzing nephrotoxicity from existing OOC has majorly consisted of invasively collecting samples (cells, lysates, media, etc.) from an OOC. Such disruptive analyses potentiate contamination, disrupt the replicated in vivo environment, and require expertize to execute. Moreover, traditional analyses, including immunofluorescence microscopy, immunoblot, and microplate immunoassay are essentially not in situ and require substantial time, resources, and costs. In the present work, the incorporation of fluorescence nanoparticle immunocapturel immunoagglutination assay into an OOC enabled dual-mode monitoring of drug-induced nephrotoxicity in situ. A smartphone-based fluorescence microscope was fabricated as a handheld in situ monitoring device attached to an OOC. Both the presence of gamma-glutamyl transpeptidase (GGT) on the apical brush border membrane of 786-O proximal tubule cells within the OOC surface, and the release of GGT to the outflow of the OOC were evaluated with the fluorescence scatter detection of captured and immunoagglutinated anti-GGT conjugated nanoparticles. This dual-mode assay method provides a novel groundbreaking tool to enable the internal and external in situ monitoring of the OOC, which may be integrated into any existing OOCs to facilitate their subsequent analyses. (C) 2016 Elsevier B.V. All rights reserved.
机译:片上器官(OOC)平台的使用可以改善人类肾脏对肾毒性药物反应的模拟。从现有OOC分析肾毒性的标准方法主要包括侵入性地从OOC收集样品(细胞,裂解物,培养基等)。此类破坏性分析会加剧污染,破坏体内复制的环境,并且需要专业知识才能执行。而且,包括免疫荧光显微镜,免疫印迹和微孔板免疫测定在内的传统分析基本上不在原位,并且需要大量的时间,资源和成本。在目前的工作中,将荧光纳米颗粒免疫捕获免疫凝集试验整合到OOC中,可以对药物诱导的肾毒性进行双模式监测。基于智能手机的荧光显微镜被制造为连接到OOC的手持式原位监测设备。通过荧光散射检测捕获和捕获的荧光,评估了OOC表面内786-O近端小管细胞的根尖刷缘膜上是否存在γ-谷氨酰转肽酶(GGT),以及GGT向OOC流出的释放。免疫凝集的抗GGT偶联纳米颗粒。这种双模式分析方法提供了一种新颖的突破性工具,可以对OOC进行内部和外部原位监控,可以将其集成到任何现有的OOC中,以方便其后续分析。 (C)2016 Elsevier B.V.保留所有权利。

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