Integrated and High-Throughput Approach for Sensitive Analysis of Tyrosine Phosphoproteome

化学 磷酸蛋白质组学 磷酸肽 酪氨酸 磷酸化 酪氨酸磷酸化 计算生物学 色谱法 生物化学 蛋白质磷酸化 蛋白激酶A 生物
作者
Qian Kong,Yicheng Weng,Zhendong Zheng,Wendong Chen,Pengfei Li,Zongwei Cai,Ruijun Tian
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:94 (40): 13728-13736 被引量:2
标识
DOI:10.1021/acs.analchem.2c01807
摘要

Tyrosine phosphorylation (pTyr) regulates various signaling pathways under normal and cancerous states. Due to their low abundance and transient and dynamic natures, systematic profiling of pTyr sites is challenging. Antibody and engineered binding domain-based approaches have been well applied to pTyr peptide enrichment. However, traditional methods have the disadvantage of a long sample preparation process, which makes them unsuitable for processing limited amount of samples, especially in a high-throughput manner. In this study we developed a 96-well microplate-based approach to integrate all the sample preparation steps starting from cell culture to MS-compatible pTyr peptide enrichment in three consecutive 96-well microplates. By assembling an engineered SH2 domain onto a microplate, nonspecific adsorption of phosphopeptides is greatly reduced, which allows us to remove the Ti-IMAC purification and three C18 desalting steps (after digestion, pTyr enrichment, and Ti-IMAC purification) and, therefore, greatly simplifies the entire pTyr peptide enrichment workflow, especially when processing a large number of samples. Starting with 96-well microplate-cultured, pervanadate-stimulated cells, our approach could enrich 21% more pTyr sites than the traditional serial pTyr enrichment approach and showed good sensitivity and reproducibility in the range of 200 ng to 200 μg peptides. Importantly, we applied this approach to profile tyrosine kinase inhibitor-mediated EGFR signaling pathway and could well differentiate the distinct response of different pTyr sites. Collectively, the integrated 96-well microplate-based approach is valuable for profiling pTyr sites from limited biological samples and in a high-throughput manner.
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