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1.
目的:探讨切割海马伞海马中具有生物活性的56kD差异蛋白的组成成份及其功能。方法:切割SD大鼠海马伞后14d海马进行非变性聚丙烯酰胺凝胶电泳(NativePAGE),应用电喷雾质谱分析、蛋白质数据库和文献分析等方法对56kD差异蛋白进行检测和功能分析。结果:质谱分析找到了33组肽段,这些蛋白按照其功能可以分为:细胞骨架蛋白、参与代谢的酶、信号传递、蛋白降解、核酸水解、氧化应激、神经递质运输、突触形成、功能未知蛋白。结论:切割海马伞海马中56kD差异蛋白中含有功能涉及神经干细胞迁移、分化的蛋白质。  相似文献   

2.
目的制备并筛选出高特异性高活性的抗01群稻叶型霍乱弧菌(Vibrio cholerae O1 Serotype Inaba)单克隆抗体(monoclonal antibody,McAb),为霍乱的预防诊断提供有力的抗体工具。方法应用杂交瘤技术,通过灭活的O1群稻叶型霍乱弧菌免疫的BALB/c小鼠的脾细胞与SP2/O细胞融合制备特异性McAb,以间接ELISA法对所需的杂交瘤细胞株进行了特异性及排除性筛选,对筛选出的特异性McAb进行了包括亚型鉴定,效价、亲和常数的测定以及特异性的鉴定与分析,并通过单克隆抗体的位点相加实验、与O1群稻叶型霍乱弧菌脂多糖(LPS)的间接ELISA和Western blot实验对McAb识别的抗原表位进行了初步分析。结果融合了386株能分泌抗01群稻叶型霍乱弧菌McAb的杂交瘤细胞株,通过用O1群小川型、0139霍乱弧菌及9种非霍乱弧菌的细菌进行的筛选,最后得到4株能稳定分泌特异性的针对该McAb的细胞株,其分泌的抗体亚类分别为2株IgG1,1株IgG2,1株IgG2b;腹水效价均达10^-6;亲和常数达10^8以上。间接ELISA法及Western blot证实所获的McAb可与O1群稻叶型霍乱弧菌发生特异性反应。ELISA相加实验结果显示4株McAb识别不同的抗原表位,与LPS的反应表明其中2株针对O1群稻叶型霍乱弧菌脂多糖,2株针对非脂多糖抗原位点。结论获得霍乱弧菌O1群稻叶型特异性McAb,初步定位单克隆抗体识别表位所在区域。  相似文献   

3.
The composition of serum is extremely complex, which complicates the discovery of new pharmacodynamic biomarkers via serum proteome for disease prediction and diagnosis. Recently, nanoparticles have been reported to efficiently reduce the proportion of high-abundance proteins and enrich low-abundance proteins in serum. Here, we synthesized a silica-coated iron oxide nanoparticle and developed a highly efficient and reproducible protein corona (PC)-based proteomic analysis strategy to improve the range of serum proteomic analysis. We identified 1,070 proteins with a median coefficient of variation of 12.56% using PC-based proteomic analysis, which was twice the number of proteins identified by direct digestion. There were also more biological processes enriched with these proteins. We applied this strategy to identify more pharmacodynamic biomarkers on collagen-induced arthritis (CIA) rat model treated with methotrexate (MTX). The bioinformatic results indicated that 485 differentially expressed proteins (DEPs) were found in CIA rats, of which 323 DEPs recovered to near normal levels after treatment with MTX. This strategy can not only help enhance our understanding of the mechanisms of disease and drug action through serum proteomics studies, but also provide more pharmacodynamic biomarkers for disease prediction, diagnosis, and treatment.  相似文献   

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