Mucci Ilaria, Legitimo Annalisa, Compagnino Marta, Consolini Rita, Migliaccio Pasquale, Metelli Maria Rita, Scatena Fabrizio
Department of Pediatrics and Reproductive Medicine, University of Pisa, via Roma, 67, 56100 Pisa, Italy.
Biologicals. 2009 Oct;37(5):288-96. doi: 10.1016/j.biologicals.2009.05.004. Epub 2009 Aug 8.
Dendritic cells (DCs) are effective as antigen-presenting cells in the immune system and are present at two functional stages depending on their maturation state. For experimental investigation of this concept, CD14(+) monocytes from blood are isolated and cultured to generate in vitro the DCs needed for functional analysis. For positive selection of CD14(+) monocytes we compared two immunomagnetic bead technologies: MACS Separation, created by Miltenyi Biotec, and EasySep Selection, created by StemCell Technologies. The monocytes provided dendritic cells for their functional analysis. Lipopolysaccharide was added to cultured DCs to induce maturation. Although both systems generated DCs from the positively selected CD14(+) cells, there were certain differences between them. Morphological, phenotypic, and functional analysis showed that MACS-selection provided DCs that have typical features corresponding to day 6 or 7 of maturation. EasySep-DCs exist in a partially-mature state from day 6 onward, even without the addition of a maturation stimulus. The reason behind this partial maturation is possibly based on the dextran-coated beads that are associated with the EasySep product. Both methods provide pure and viable DCs, but we would recommend using the MACS system for obtaining DCs suitable for functional studies.
树突状细胞(DCs)是免疫系统中有效的抗原呈递细胞,根据其成熟状态处于两个功能阶段。为了对这一概念进行实验研究,从血液中分离出CD14(+)单核细胞并进行培养,以在体外生成功能分析所需的DCs。为了对CD14(+)单核细胞进行阳性选择,我们比较了两种免疫磁珠技术:由美天旎生物技术公司创建的MACS分选法和由干细胞技术公司创建的EasySep分选法。单核细胞为其功能分析提供了树突状细胞。向培养的DCs中添加脂多糖以诱导成熟。虽然这两种系统都从阳性选择的CD14(+)细胞中生成了DCs,但它们之间存在某些差异。形态学、表型和功能分析表明,MACS分选法提供的DCs具有对应于成熟第6天或第7天的典型特征。从第6天起,EasySep-DCs即使不添加成熟刺激物也处于部分成熟状态。这种部分成熟背后的原因可能基于与EasySep产品相关的葡聚糖包被磁珠。两种方法都提供了纯净且有活力的DCs,但我们建议使用MACS系统来获得适合功能研究的DCs。