Kattah Michael G, Coller John, Cheung Regina K, Oshidary Neekaan, Utz Paul J
Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, California 94305, USA.
Nat Med. 2008 Nov;14(11):1284-9. doi: 10.1038/nm.1755. Epub 2008 Oct 12.
We have developed a multianalyte fluid-phase protein array technology termed high-throughput immunophenotyping using transcription (HIT). This method employs a panel of monoclonal antibodies, each tagged with a unique oligonucleotide sequence that serves as a molecular bar code. After staining a sample, T7 polymerase amplifies the tags, which are then hybridized to a DNA microarray for indirect measurement of each analyte. Although there are many potential applications for this technology, here we report its suitability for profiling cytokines, intracellular molecules and cell surface markers. Using HIT, we profiled 90 surface markers on human naive T helper cells activated in vitro. The markers identified in this screen are consistent with previously described activation markers and were validated by flow cytometry. Additionally, a HIT screen of surface markers expressed on T helper cells activated in the presence of transforming growth factor-beta identified downregulation of CD26 in these cells. HIT arrays are an ideal platform for rapidly identifying markers for further characterization and therapeutic intervention.
我们开发了一种多分析物液相蛋白质阵列技术,称为利用转录进行高通量免疫表型分析(HIT)。该方法采用一组单克隆抗体,每个抗体都标记有独特的寡核苷酸序列,作为分子条形码。对样品进行染色后,T7聚合酶扩增这些标签,然后将其与DNA微阵列杂交,以间接测量每种分析物。尽管该技术有许多潜在应用,但在此我们报告其适用于分析细胞因子、细胞内分子和细胞表面标志物。使用HIT,我们对体外激活的人初始T辅助细胞上的90种表面标志物进行了分析。在此筛选中鉴定出的标志物与先前描述的激活标志物一致,并通过流式细胞术进行了验证。此外,对在转化生长因子-β存在下激活的T辅助细胞上表达的表面标志物进行的HIT筛选,确定了这些细胞中CD26的下调。HIT阵列是快速识别用于进一步表征和治疗干预的标志物的理想平台。