Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy.
Department of Biosciences, Università degli Studi di Milano, Milano, 20133, Italy.
Proteomics. 2019 Mar;19(5):e1800300. doi: 10.1002/pmic.201800300. Epub 2019 Feb 18.
Heavy methyl Stable Isotope Labeling with Amino acids in Cell culture (hmSILAC) is a metabolic labeling strategy employed in proteomics to increase the confidence of global identification of methylated peptides by MS. However, to this day, the automatic and robust identification of heavy and light peak doublets from MS-raw data of hmSILAC experiments is a challenging task, for which the choice of computational methods is very limited. Here, hmSEEKER, a software designed to work downstream of a MaxQuant analysis for in-depth search of MS peak pairs that correspond to light and heavy methyl-peptide within MaxQuant-generated tables is described with good sensitivity and specificity. The software is written in Perl, and its code and user manual are freely available at Bitbucket (https://bit.ly/2scCT9u).
重甲基稳定同位素标记与氨基酸细胞培养(hmSILAC)是蛋白质组学中采用的一种代谢标记策略,用于通过 MS 增加甲基化肽全局鉴定的置信度。然而,时至今日,从 hmSILAC 实验的 MS 原始数据中自动而稳健地识别重峰和轻峰双峰对仍然是一项具有挑战性的任务,而计算方法的选择非常有限。这里描述了 hmSEEKER,这是一款软件,专为 MaxQuant 分析下游设计,用于深入搜索与 MaxQuant 生成的表中轻峰和重峰甲基肽相对应的 MS 峰对,具有良好的灵敏度和特异性。该软件是用 Perl 编写的,其代码和用户手册可在 Bitbucket(https://bit.ly/2scCT9u)上免费获得。