鱼类肌肉蛋白质组学分离程序的可重复性

T. Silva, Odete D. Cordeiro, F. Jessen, Jorge Dias, P. Rodrigues
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引用次数: 4

摘要

比较蛋白质组学的挑战之一是分离和量化高度复杂的蛋白质混合物的所有成分的能力,尽管它们的成分的浓度可以跨越几个数量级。肌肉组织的亚细胞分离程序已经在凝胶和MS-based蛋白质组学中使用了一段时间,以解决这种情况,通过减少给定提取物中的蛋白质数量来简化分析,并通过允许每个蛋白质的更大负载来提高动态范围。此外,通过分离整个组织蛋白质组的亚群来解释观察到的蛋白质丰度变化可能会更容易。使用这些技术进行蛋白质组学分析的具体例子包括细胞器和细胞核分离、分泌或膜蛋白提取物的富集以及血清样品的白蛋白/免疫球蛋白消耗。另一方面,由于它的使用意味着比整个提取过程需要更多的样品处理步骤,因此可以预期,分馏过程可能会引入一些噪声。因此,对于比较蛋白质组学实验来说,同时确保不引入批间偏差和最小化批内噪声似乎很重要,以便执行该步骤的好处大于它的缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reproducibility of a fractionation procedure for fish muscle proteomics
One of the challenges of comparative proteomics is the ability to separate and quantify all the components of highly complex mixtures of proteins, despite the fact that the concentration of their components can span several orders of magnitude. Subcellular fractionation procedures for muscle tissue have been used for some time in both gel and MS-based proteomics to address this situation, simplifying analysis by reducing the number of proteins in a given extract and improving the dynamic range by allowing larger loads per protein. Additionally, interpreting the observed changes in protein abundance may be eased by isolating a subpopulation of the whole tissue proteome. Specifi c examples of the use of these techniques for proteomic analysis include organelle and nucleus isolation, enrichment of extracts for secretory or membranar proteins, and albumin/immunoglobulin depletion of serum samples. On the other hand, since its use implies a greater number of sample processing steps than doing the whole extract, it is expected that some noise may be introduced by a fractionation procedure. Therefore, it seems important for comparative proteomic experiments to simultaneously ensure that no interbatch bias is introduced and that intrabatch noise is minimized, so that the benefits of performing this step outweigh its disadvantages.
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