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Systematic optimization of multiplex zymography protocol to detect active cathepsins K L S and V in healthy and diseased tissue: compromise between limits of detection reduced time and resources

机译:在健康和患病组织中检测活性组织蛋白酶KLS和V的多重酶谱分析方法的系统优化:在检测限度减少的时间和资源之间达成妥协

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摘要

Cysteine cathepsins are a family of proteases identified in cancer, atherosclerosis, osteoporosis, arthritis and a number of other diseases. As this number continues to rise, so does the need for low cost, broad use quantitative assays to detect their activity and can be translated to the clinic in the hospital or in low resource settings. Multiplex cathepsin zymography is one such assay that detects subnanomolar levels of active cathepsins K, L, S, and V in cell or tissue preparations observed as cleared bands of proteolytic activity after gelatin substrate SDS-PAGE with conditions optimal for cathepsin renaturing and activity. Densitometric analysis of the zymogram provides quantitative information from this low cost assay. After systematic modifications to optimize cathepsin zymography, we describe reduced electrophoresis time from 2 hours to 10 minutes, incubation assay time from overnight to 4 hours, and reduced minimal tissue protein necessary while maintaining sensitive detection limits; an evaluation of the pros and cons of each modification is also included. We further describe image acquisition by smartphone camera, export to Matlab, and densitometric analysis code to quantify and report cathepsin activity, adding portability and replacing large scale, darkbox imaging equipment that could be cost prohibitive in limited resource settings.
机译:半胱氨酸组织蛋白酶是在癌症,动脉粥样硬化,骨质疏松症,关节炎和许多其他疾病中鉴定的蛋白酶家族。随着这一数字的不断增加,对低成本,广泛使用的定量检测以检测其活性的需求也随之增加,可以将其转化为医院或资源贫乏地区的诊所。多重组织蛋白酶酶谱分析法是一种这样的测定法,可检测明胶底物SDS-PAGE后在组织蛋白酶复性和活性最佳的条件下,观察到的细胞或组织制剂中活性组织蛋白酶K,L,S和V的亚纳摩尔水平,观察为蛋白水解活性的清晰条带。酶谱的光密度分析提供了来自这种低成本测定的定量信息。经过系统地修改以优化组织蛋白酶的酶谱,我们描述了将电泳时间从2小时减少到10分钟,将孵育时间从过夜减少到4小时,并在保持敏感检测限的同时减少了所需的最小组织蛋白;还包括对每个修改的优缺点的评估。我们进一步描述了通过智能手机摄像头采集图像,导出到Matlab以及光密度分析代码以量化和报告组织蛋白酶的活性,增加了便携性并替换了大规模的黑匣子成像设备,这些设备在有限的资源设置中可能会抑制成本。

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