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全血中单步血小板分离与界面血小板细胞术(iPC)数字定量相结合。

Single-step separation of platelets from whole blood coupled with digital quantification by interfacial platelet cytometry (iPC).

机构信息

Biomedical Diagnostics Institute, Dublin City University, Dublin, Ireland.

出版信息

Langmuir. 2010 Sep 21;26(18):14700-6. doi: 10.1021/la9039682.

Abstract

We report the efficient single-step separation of individual platelets from unprocessed whole blood, enabling digital quantification of platelet function using interfacial platelet cytometry (iPC) on a chip. iPC is accomplished by the precision micropatterning of platelet-specific protein surfaces on solid substrates. By separating platelets from whole blood using specific binding to protein spots of a defined size, iPC implements a simple incubate-and-rinse approach, without sample preparation, that enables (1) the study of platelets in the physiological situation of interaction with a protein surface, (2) the choice of the number of platelets bound on each protein spot, from one to many, (3) control of the platelet-platelet distance, including the possibility to study noninteracting single platelets, (4) digital quantification (counting) of platelet adhesion to selected protein matrices, enabling statistical characterization of platelet subpopulations from meaningfully large numbers of single platelets, (5) the study of platelet receptor expression and spatial distribution, and (6) a detailed study of the morphology of isolated single platelets at activation levels that can be manipulated. To date, we have demonstrated 1-4 of the above list. Platelets were separated from whole blood using iPC with fibrinogen, von Willebrand factor (VWF), and anti-CD42b antibody printed "spots" ranging from a fraction of one to several platelet diameters (2-24 μm). The number of platelets captured per spot depends strongly on the protein matrix and the surface area of the spot, together with the platelet volume, morphology, and activation state. Blood samples from healthy donors, a May-Hegglin-anomaly patient, and a Glanzmann's Thrombasthenia patient were analyzed via iPC to confirm the specificity of the interaction between protein matrices and platelets. For example, the results indicate that platelets interact with fibrinogen spots only through the fibrinogen receptor (αIIbβ3) and, relevant to diagnostic applications, platelet adhesion correlates strongly with normal versus abnormal platelet function. A critical function of platelets is to adhere to regions of damage on blood vessel walls; in contrast to conventional flow cytometry, where platelets are suspended in solution, iPC enables physiologically relevant platelet bioassays based on platelet/protein-matrix interactions on surfaces. This technology should be inexpensive to implement in clinical assay format, is readily integrable into fluidic microdevices, and paves the way for high-throughput platelet assays from microliter volumes of whole blood.

摘要

我们报告了一种从未经处理的全血中高效分离单个血小板的方法,通过在芯片上进行界面血小板细胞术(iPC),实现了对血小板功能的数字量化。iPC 通过在固体基底上精确图案化血小板特异性蛋白表面来实现。通过使用特定的结合来分离全血中的血小板与特定大小的蛋白质斑点,iPC 实现了一种简单的孵育-冲洗方法,无需样品制备,从而可以实现:(1)在与蛋白质表面相互作用的生理情况下研究血小板;(2)选择每个蛋白质斑点上结合的血小板数量,从一个到多个;(3)控制血小板-血小板之间的距离,包括研究不相互作用的单个血小板的可能性;(4)对选定的蛋白质基质的血小板黏附进行数字量化(计数),能够对来自大量单个血小板的血小板亚群进行有意义的统计表征;(5)研究血小板受体的表达和空间分布;(6)在可操纵的激活水平下对分离的单个血小板的形态进行详细研究。到目前为止,我们已经证明了上述列表中的 1-4 项。使用纤维蛋白原、血管性血友病因子(VWF)和抗 CD42b 抗体印刷的“斑点”,通过 iPC 从全血中分离血小板,这些“斑点”的直径范围从血小板直径的一小部分到几个(2-24 μm)。每个斑点捕获的血小板数量强烈取决于蛋白质基质和斑点的表面积,以及血小板的体积、形态和激活状态。通过 iPC 分析来自健康供体、May-Hegglin 异常患者和 Glanzmann 血小板无力症患者的血液样本,以确认蛋白质基质与血小板之间相互作用的特异性。例如,结果表明,血小板仅通过纤维蛋白原受体(αIIbβ3)与纤维蛋白原斑点相互作用,并且与诊断应用相关,血小板黏附与正常和异常血小板功能密切相关。血小板的一个关键功能是黏附到血管壁的损伤区域;与传统的悬浮在溶液中的流式细胞术相比,iPC 基于表面上的血小板/蛋白质基质相互作用,实现了生理相关的血小板生物测定。该技术在临床分析格式中实施成本低廉,易于集成到流体微器件中,并为从微升体积的全血中进行高通量血小板分析铺平了道路。

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