磷酸肽
化学
色谱法
赫拉
仿形(计算机编程)
分馏
蛋白质组学
磷酸化
串联质谱法
质谱法
蛋白质组
蛋白质磷酸化
计算生物学
细胞
生物化学
蛋白激酶A
计算机科学
生物
基因
操作系统
作者
Chaewon Kang,Sunghyun Huh,Dowoon Nam,Hokeun Kim,Jiwon Hong,Daehee Hwang,Sang‐Won Lee
标识
DOI:10.1021/acs.analchem.2c02641
摘要
Protein phosphorylation is a prevalent post-translational modification that regulates essentially every aspect of cellular processes. Currently, liquid chromatography-tandem mass spectrometry (LC-MS/MS) with an extensive offline sample fractionation and a phosphopeptide enrichment method is a best practice for deep phosphoproteome profiling, but balancing throughput and profiling depth remains a practical challenge. We present an online three-dimensional separation method for ultradeep phosphoproteome profiling that combines an online two-dimensional liquid chromatography separation and an additional gas-phase separation. This method identified over 100,000 phosphopeptides (>60,000 phosphosites) in HeLa cells during 1.5 days of data acquisition, and the largest HeLa cell phosphoproteome significantly expanded the detectable functional landscape of cellular phosphoproteome.
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