Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, 48109, USA.
Small. 2021 Aug;17(31):e2101743. doi: 10.1002/smll.202101743. Epub 2021 Jun 25.
Integrated microfluidic cellular phenotyping platforms provide a promising means of studying a variety of inflammatory diseases mediated by cell-secreted cytokines. However, immunosensors integrated in previous microfluidic platforms lack the sensitivity to detect small signals in the cellular secretion of proinflammatory cytokines with high precision. This limitation prohibits researchers from studying cells secreting cytokines at low abundance or existing at a small population. Herein, the authors present an integrated platform named the "digital Phenoplate (dPP)," which integrates digital immunosensors into a microfluidic chip with on-chip cell assay chambers, and demonstrates ultrasensitive cellular cytokine secretory profile measurement. The integrated sensors yield a limit of detection as small as 0.25 pg mL for mouse tumor necrosis factor alpha (TNF-α). Each on-chip cell assay chamber confines cells whose population ranges from ≈20 to 600 in arrayed single-cell trapping microwells. Together, these microfluidic features of the dPP simultaneously permit precise counting and image-based cytometry of individual cells while performing parallel measurements of TNF-α released from rare cells under multiple stimulant conditions for multiple samples. The dPP platform is broadly applicable to the characterization of cellular phenotypes demanding high precision and high throughput.
集成微流控细胞表型分析平台为研究细胞分泌细胞因子介导的各种炎症性疾病提供了一种很有前途的方法。然而,以前的微流控平台中集成的免疫传感器缺乏检测高精准度的促炎细胞因子细胞分泌中微小信号的灵敏度。这种局限性限制了研究人员研究低丰度或小群体细胞分泌细胞因子的能力。在此,作者提出了一种名为“数字 Phenoplate (dPP)”的集成平台,该平台将数字免疫传感器集成到具有片上细胞分析室的微流控芯片中,并展示了超灵敏的细胞因子分泌轮廓测量。集成传感器的检测限低至 0.25 pg mL,用于检测小鼠肿瘤坏死因子-α (TNF-α)。每个片上细胞分析室将细胞限制在阵列单细胞捕获微井中的≈20 到 600 个细胞。这些 dPP 的微流控特性共同允许在对多个刺激条件下从稀有细胞中释放的 TNF-α进行并行测量的同时,对单个细胞进行精确计数和基于图像的细胞计数,并且适用于需要高精度和高通量的细胞表型特征的描述。