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Article Commentary: How Many Proteins are Missed in Quantitative Proteomics Based on MS/MS Sequencing Methods?:

机译:文章评论:基于MS / MS测序方法的定量蛋白质组学中缺少多少种蛋白质?

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Current bottom-up quantitative proteomics methods based on MS/MS sequencing of peptides are shown to be strongly dependent on sample preparation. Using cytosolic proteins from MCF-7 breast cancer cells, it is shown that protein pre-fractionation based on pI and MW is more effective than pre-fractionation using only MW in increasing the number of observed proteins (947 vs. 704 proteins) and the number of spectral counts per protein. Combination of MS data from the different pre-fractionation methods results in further improvements (1238 proteins). We discuss that at present the main limitation on quantitation by MS/MS sequencing is not MS sensitivity and protein abundance, but rather extensive peptide overlap and limited MS/MS sequencing throughput, and that this favors internally calibrated methods such as SILAC, ICAT or ITRAQ over spectral counting methods in attempts to drastically improve proteome coverage of biological samples.
机译:当前基于肽的MS / MS测序的自下而上的定量蛋白质组学方法显示出强烈依赖于样品制备。使用来自MCF-7乳腺癌细胞的胞质蛋白,显示基于pI和MW的蛋白质预分离比仅使用MW的预分离在增加观察到的蛋白质数量(947对704个蛋白质)和每个蛋白质的光谱计数数量。来自不同预分级方法的MS数据相结合可进一步改进(1238种蛋白质)。我们讨论了目前通过MS / MS测序进行定量分析的主要限制不是MS灵​​敏度和蛋白质丰度,而是广泛的肽段重叠和有限的MS / MS测序通量,这有利于内部校准的方法,例如SILAC,ICAT或ITRAQ谱计数方法,试图大大提高生物样品的蛋白质组覆盖率。

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