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首页> 外文期刊>Journal of Cancer >Modification of proteolytic activity matrix analysis (PrAMA) to measure ADAM10 and ADAM17 sheddase activities in cell and tissue lysates
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Modification of proteolytic activity matrix analysis (PrAMA) to measure ADAM10 and ADAM17 sheddase activities in cell and tissue lysates

机译:修改蛋白水解活性矩阵分析(PrAMA)以测量细胞和组织裂解物中的ADAM10和ADAM17脱氢酶活性

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Increases in expression of ADAM10 and ADAM17 genes and proteins have been evaluated, but not validated as cancer biomarkers. Specific enzyme activities better reflect enzyme cellular functions, and might be better biomarkers than enzyme genes or proteins. However, no high throughput assay is available to test this possibility. Recent studies have developed the high throughput real-time proteolytic activity matrix analysis (PrAMA) that integrates the enzymatic processing of multiple enzyme substrates with mathematical-modeling computation. The original PrAMA measures with significant accuracy the activities of individual metalloproteinases expressed on live cells. To make the biomarker assay usable in clinical practice, we modified PrAMA by testing enzymatic activities in cell and tissue lysates supplemented with broad-spectrum non-MP enzyme inhibitors, and by maximizing the assay specificity using systematic mathematical-modeling analyses. The modified PrAMA accurately measured the absence and decreases of ADAM10 sheddase activity (ADAM10sa) and ADAM17sa in ADAM10-/- and ADAM17-/- mouse embryonic fibroblasts (MEFs), and ADAM10- and ADAM17-siRNA transfected human cancer cells, respectively. It also measured the restoration and inhibition of ADAM10sa in ADAM10- cDNA-transfected ADAM10-/- MEFs and GI254023X-treated human cancer cell and tissue lysates, respectively. Additionally, the modified PrAMA simultaneously quantified with significant accuracy ADAM10sa and ADAM17sa in multiple human tumor specimens, and showed the essential characteristics of a robust high throughput multiplex assay that could be broadly used in biomarker studies. Selectively measuring specific enzyme activities, this new clinically applicable assay is potentially superior to the standard protein- and gene-expression assays that do not distinguish active and inactive enzyme forms.
机译:已经评估了ADAM10和ADAM17基因和蛋白质表达的增加,但尚未被确认为癌症生物标志物。特定的酶活性更好地反映了酶的细胞功能,并且可能是比酶基因或蛋白质更好的生物标记。但是,没有高通量分析可用于测试这种可能性。最近的研究开发了高通量实时蛋白水解活性矩阵分析(PrAMA),该分析将多种酶底物的酶处理与数学模型计算相结合。原始的PrAMA可以非常准确地测量在活细胞上表达的单个金属蛋白酶的活性。为了使生物标志物测定可在临床上使用,我们通过测试补充了广谱非MP酶抑制剂的细胞和组织裂解物中的酶活性,并使用系统的数学模型分析来最大化测定的特异性,从而修饰了PrAMA。修饰的PrAMA可以准确测量ADAM10 -/-和ADAM17 -/-小鼠胚胎成纤维细胞(MEF)中ADAM10脱氢酶活性(ADAM10sa)和ADAM17sa的缺失和降低,以及ADAM10和ADAM17-siRNA分别转染了人类癌细胞。它还测量了ADAM10- cDNA转染的ADAM10 -/- MEFs和GI254023X处理的人癌细胞和组织裂解物中ADAM10sa的恢复和抑制。此外,修饰的PrAMA同时可以在多个人类肿瘤标本中以显着准确的定量ADAM10sa和ADAM17sa进行定量,并显示了可广泛用于生物标志物研究的强大的高通量多重测定的基本特征。选择性测量特定酶的活性,这种新的临床适用测定法可能优于不区分活性和非活性酶形式的标准蛋白质和基因表达测定法。

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