Microfluidic single-cell array cytometry for the analysis of tumor apoptosis.
Microfluidic single-cell array cytometry for the analysis of tumor apoptosis.
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DOI：
10.1021/ac9008463
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发表时间：
2009-07-01
影响因子：
7.4
通讯作者：
Cooper, Jonathan M.
中科院分区：
文献类型：
--
作者：
Wlodkowic, Donald;Faley, Shannon;Zagnoni, Michele;Wikswo, John P.;Cooper, Jonathan M.
细胞生物学的常规分析技术（例如流式细胞术或微孔板成像）所施加的限制通常禁止单细胞对治疗性化合物的响应的动力学分析。在本文中，我们描述了应用微流控阵列的实时筛选抗癌药物对阵列的单细胞。微流体平台包括微机械陷阱阵列，其被设计为被动地捕获单个非粘附细胞。该平台由生物相容性弹性体聚二甲基硅氧烷（PDMS）制成，能够在低剪切应力区流体动力学捕获细胞，从而能够对非粘附造血细胞进行延时研究。结果表明，这些活细胞，微流控微阵列可以很容易地应用于动力学分析的研究抗癌药物在造血癌细胞，提供了新的机会，自动化微阵列细胞术和高通量筛选。我们还证明了在芯片上量化抗癌药物诱导的细胞凋亡的能力。具体而言，我们表明，在仔细的连续观察下，捕获的细胞数量较少（约300个），我们可以获得的结果与15，000 - 30，000个细胞的单次流式细胞仪测量相比，仅具有略大的统计分布。
Limitations imposed by conventional analytical technologies for cell biology, such as flow cytometry or microplate imaging, are often prohibitive for the kinetic analysis of single-cell responses to therapeutic compounds. In this paper, we describe the application of a microfluidic array to the real-time screening of anti-cancer drugs against arrays of single cells. The microfluidic platform comprises an array of micromechanical traps, designed to passively corral individual non-adherent cells. This platform, fabricated in the biologically compatible elastomer poly(dimethylsiloxane), PDMS, enables hydrodynamic trapping of cells in low shear stress zones, enabling time-lapse studies of non-adherent hematopoietic cells. Results indicate that these live-cell, microfluidic microarrays can be readily applied to kinetic analysis of investigational anti-cancer agents in hematopoietic cancer cells, providing new opportunities for automated microarray cytometry and higher-throughput screening. We also demonstrate the ability to quantify on-chip the anti-cancer drug induced apoptosis. Specifically, we show that with small numbers of trapped cells (~300) under careful serial observation we can achieve results with only slightly greater statistical spread than can be obtained with single-pass flow cytometer measurements of 15,000 – 30,000 cells.
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影响因子：
6.1
作者：
Faley S;Seale K;Hughey J;Schaffer DK;VanCompernolle S;McKinney B;Baudenbacher F;Unutmaz D;Wikswo JP
通讯作者：
Wikswo JP
影响因子：
3.7
作者：
Wlodkowic, Donald;Darzynkiewicz, Zbigniew
通讯作者：
Darzynkiewicz, Zbigniew
影响因子：
6.1
作者：
Khademhosseini, A;Yeh, J;Langer, R
通讯作者：
Langer, R
影响因子：
6.1
作者：
Di Carlo, Dino;Wu, Liz Y.;Lee, Luke P.
通讯作者：
Lee, Luke P.
影响因子：
7.4
作者：
Yin, Huabing;Zhang, Xunli;Cooper, Jonathan M.
通讯作者：
Cooper, Jonathan M.