Pilobello Kanoelani T, Slawek Deepika E, Mahal Lara K
Department of Chemistry and Biochemistry, University of Texas, 1 University Station, A5300, Austin, TX 78712-0265, USA.
Proc Natl Acad Sci U S A. 2007 Jul 10;104(28):11534-9. doi: 10.1073/pnas.0704954104. Epub 2007 Jul 2.
Glycosylation creates an intricate and complex code for biological information that plays a role in cell-cell communication, infection, and immunity among many biological events. Dynamic changes in the glycosylation status of cells have been observed in tumor cell metastasis and cell differentiation but have been difficult to analyze because of a lack of high-throughput and facile technologies. Here, we present a method for the rapid evaluation of differences in the glycosylation of heterogeneous mammalian samples using a ratiometric two-color lectin microarray approach. This work represents a significant improvement in glycomics technology and sets the stage for the systematic evaluation of how glycans encode biological information in complex systems.
糖基化产生了一种复杂且精密的生物信息编码,该编码在细胞间通讯、感染以及众多生物事件中的免疫过程中发挥作用。在肿瘤细胞转移和细胞分化过程中,已观察到细胞糖基化状态的动态变化,但由于缺乏高通量且简便的技术,这些变化一直难以分析。在此,我们提出一种使用比率型双色凝集素微阵列方法快速评估异质哺乳动物样品糖基化差异的方法。这项工作代表了糖组学技术的重大进步,并为系统评估聚糖如何在复杂系统中编码生物信息奠定了基础。