Liu Shili, Tran Kenny K, Pan Steven, Shen Hong
Department of Chemical Engineering, University of Washington, Box 351750, Seattle, WA 98195, United States.
Biosens Bioelectron. 2009 Apr 15;24(8):2598-603. doi: 10.1016/j.bios.2009.01.017. Epub 2009 Jan 23.
Dendritic cells (DCs) are a specialized family of antigen presenting cells. They play critical roles in sensing and processing microbial information through a series of pattern recognition receptors (PPRs), including the well-characterized toll-like receptors (TLRs). In this study, we demonstrated the utilization of a DC cell line, DC2.4, as a cell source for the detection and differentiation of microbes towards the development of cell-based biosensors. As a proof of principle, the gram-negative bacteria Escherichia coli K12 strain D21 and its lipopolysaccharide (LPS) mutants were used as model targets. The stimulation of DCs by bacterial strains was monitored by the production of nitric oxide (NO), and the colorimetric Greiss assay was used to quantify the level of NO produced. Our results demonstrated that DCs could detect and differentiate microbes with subtle differences in the composition of specific cell surface components, i.e. LPS, within minutes. Though the current colorimetric-based NO assay limited the detection sensitivity, we showed that DCs were able to detect as low as 2-3 bacteria per cell. Furthermore, compared to macrophages, DCs were superior in discriminating LPS mutants. Our study demonstrates that DCs possess great potential as cell sources for the development of novel cell-based biosensors for detecting microbes with high selectivity and sensitivity and rapid responsiveness. In addition, when DCs are coupled with other biosensor platforms, higher sensitivity can be expected.
树突状细胞(DCs)是一类特殊的抗原呈递细胞家族。它们通过一系列模式识别受体(PPRs),包括特征明确的Toll样受体(TLRs),在感知和处理微生物信息方面发挥关键作用。在本研究中,我们证明了利用DC细胞系DC2.4作为细胞来源,用于检测微生物并区分其差异,以开发基于细胞的生物传感器。作为原理验证,革兰氏阴性菌大肠杆菌K12菌株D21及其脂多糖(LPS)突变体被用作模型靶点。通过一氧化氮(NO)的产生来监测细菌菌株对DCs的刺激,并使用比色法格里斯试验来量化产生的NO水平。我们的结果表明,DCs能够在数分钟内检测并区分特定细胞表面成分(即LPS)组成存在细微差异的微生物。尽管目前基于比色法的NO检测限制了检测灵敏度,但我们表明DCs能够检测到每个细胞低至2 - 3个细菌。此外,与巨噬细胞相比,DCs在区分LPS突变体方面更具优势。我们的研究表明,DCs作为开发新型基于细胞的生物传感器的细胞来源具有巨大潜力,该生物传感器能够以高选择性、高灵敏度和快速响应性检测微生物。此外,当DCs与其他生物传感器平台结合时,有望获得更高的灵敏度。