计算生物学
蛋白质组
蛋白质组学
定量蛋白质组学
计算机科学
等压标记
磷酸蛋白质组学
串联质量标签
生物
生物信息学
生物化学
基因
磷酸化
蛋白质磷酸化
蛋白激酶A
作者
Kevin D. Dong,E. Schmid,Ryan Bomgarden,Jae Hyuk Choi,Steven P. Gygi,Qing Yu,João A. Paulo
标识
DOI:10.1021/acs.jproteome.3c00493
摘要
Targeted proteomics strategies present a streamlined hypothesis-driven approach to analyze specific sets of pathways or disease related proteins. goDig is a quantitative, targeted tandem mass tag (TMT)-based assay that can measure the relative abundance differences for hundreds of proteins directly from unfractionated mixtures. Specific protein groups or entire pathways of up to 200 proteins can be selected for quantitative profiling, while leveraging sample multiplexing permits the simultaneous analysis of up to 18 samples. Despite these benefits, implementing goDig is not without challenges, as it requires access to an instrument application programming interface (iAPI), an elution order and spectral library, a web-based method builder, and dedicated companion software. In addition, the absence of an example test assay may dissuade researchers from testing or implementing goDig. Here, we repurpose the TKO11 standard─which is commercially available but may also be assembled in-lab─and establish it as a de facto test assay for goDig. We build a proteome-wide goDig yeast library, quantify protein expression across several gene ontology (GO) categories, and compare these results to a fully fractionated yeast gold-standard data set. Essentially, we provide a guide detailing the goDig-based quantification of TKO11, which can also be used as a template for user-defined assays in other species.
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