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Flow microfluorometric analysis of phagocyte degranulation in bacteria infected whole human blood cell cultures

机译:吞噬细胞吞噬物流分析细菌中吞噬细胞血细胞培养物

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A quantitative flow microfluorometric method was used to study the intensity of human blood phagocyte degranulation in response to viable Staphylococcus aureus or Yersinia pestis (vaccine strain EV) cells. Microorganisms were added directly to defibrinated whole blood. Uninfected (control) and infected blood samples were incubated at 37°C to 8 h. The results were recorded in dynamics after the staining of whole blood (0,1 ml) with acridine orange solution. Lymphocytes with a low azurophilic granule per cell content were discriminated from phagocytes by the measurement of single cell red cytoplasmic granule fluorescence. 30 000 cells in each sample were examined. S. aureus cells caused a dose-dependent decrease in the number of phagocytes having a high red cytoplasmic fluorescence intensity and a corresponding increase in the weakly fluorescent cell population (lymphocytes + degranulated phagocytes). In the presence of an initial S.aureus-to-phagocyte ratio more than 1:1, degranulation was measured after 3 h of incubation and to 8 h the percentage of degranulated phagocytes was at least 100 %. Y.pestis cells grown for 48 h at 28°C caused at same conditions the degranulation only about 50 % of cells. Y.pestis EV cells preincubated in broth for 12 h at 37°C did not stimulate the phahocyte degranulation. The results of these stadies suggest that analysis of cell populations via flow microfluorimeter technology may be a powerful tool in analysis bacterial infection.
机译:使用定量流动的微氟度计法研究人血吞噬细胞抗蛋白酶AUREUS或YERSINIA PESTIS(疫苗菌株EV)细胞的强度。将微生物直接加入到抗血液中。在37℃至8h下孵育未感染(对照)和感染的血液样品。用吖啶橙溶液染色全血(0.1ml)后的动力学中记录了结果。通过测量单细胞红色细胞质颗粒荧光,从吞噬细胞区分具有低硫酸低硫酸颗粒的淋巴细胞。检查每个样品中的30 000个细胞。 S.UUREUS细胞引起具有高红细胞荧光强度的吞噬细胞数量的剂量依赖性降低,并且弱荧光细胞群(淋巴细胞+抗噬细胞)的相应增加。在初始S.aureus-to-phagocyte的比例大于1:1的情况下,在温育3小时后测量脱粒,并在8小时至脱噬细胞的百分比至少为100%。 Y.在28°C下生长48小时的尤塞斯细胞在相同的条件下引起仅约50%的细胞。 Y.在37℃下在肉汤中预先孵育12小时的尤其是刺激酞菁脱粒。这些宿舍的结果表明,通过流量微流荧光表技术分析细胞群可能是分析细菌感染的强大工具。

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