Accogli Gianluca, Desantis Salvatore, Martino Nicola Antonio, Dell'Aquila Maria Elena, Gemeiner Peter, Katrlík Jaroslav
Department of Emergency and Organ Transplantation (DETO), Veterinary Clinics and Animal Productions Unit, University of Bari Aldo Moro, SP Casamassima, km 3, 70010, Valenzano, Bari, Italy.
Department of Biosciences, Biotechnologies and Biopharmaceutics (DBBB), University of Bari Aldo Moro, SP Casamassima, km 3, 70010, Valenzano, Bari, Italy.
Glycoconj J. 2016 Oct;33(5):717-24. doi: 10.1007/s10719-016-9666-2. Epub 2016 Apr 16.
The high complexity of glycome, the repertoire of glycans expressed in a cell or in an organism, is difficult to analyze and the use of new technologies has accelerated the progress of glycomics analysis. In the last decade, the microarray approaches, and in particular glycan and lectin microarrays, have provided new insights into evaluation of cell glycosylation status. Here we present a cell microarray method based on cell printing on microarray slides for the analysis of the glycosylation pattern of the cell glycocalyx. In order to demonstrate the reliability of the developed method, the glycome profiles of equine native uncultured mural granulosa cells (uGCs) and in vitro cultured mural granulosa cells (cGCs) were determined and compared. The method consists in the isolation of GCs, cell printing into arrays on microarray slide, incubation with a panel of biotinylated lectins, reaction with fluorescent streptavidin and signal intensity detection by a microarray scanner. Cell microarray technology revealed that glycocalyx of both uGCs and cGCs contains N-glycans, sialic acid terminating glycans, N-acetylglucosamine and O-glycans. The comparison of uGCs and cGCs glycan signals indicated an increase in the expression of sialic acids, N-acetylglucosamine, and N-glycans in cGCs. Glycan profiles determined by cell microarray agreed with those revealed by lectin histochemistry. The described cell microarray method represents a simple and sensitive procedure to analyze cell surface glycome in mammalian cells.
糖组是指细胞或生物体中表达的聚糖库,其高度复杂性使得分析工作颇具难度,而新技术的应用加速了糖组学分析的进展。在过去十年中,微阵列方法,尤其是聚糖和凝集素微阵列,为评估细胞糖基化状态提供了新的见解。在此,我们介绍一种基于在微阵列载玻片上进行细胞打印的细胞微阵列方法,用于分析细胞糖萼的糖基化模式。为了证明所开发方法的可靠性,我们测定并比较了马的天然未培养壁层颗粒细胞(uGCs)和体外培养壁层颗粒细胞(cGCs)的糖组谱。该方法包括分离颗粒细胞、将细胞打印到微阵列载玻片上形成阵列、与一组生物素化凝集素孵育、与荧光链霉亲和素反应以及通过微阵列扫描仪检测信号强度。细胞微阵列技术显示,uGCs和cGCs的糖萼均含有N - 聚糖、唾液酸末端聚糖、N - 乙酰葡糖胺和O - 聚糖。uGCs和cGCs聚糖信号的比较表明,cGCs中唾液酸、N - 乙酰葡糖胺和N - 聚糖的表达增加。通过细胞微阵列测定的聚糖谱与凝集素组织化学揭示的结果一致。所描述的细胞微阵列方法是一种分析哺乳动物细胞表面糖组的简单且灵敏的程序。