Integrated Platform for Large-Scale Quantitative Profiling of Phosphotyrosine Signaling Complexes Based on Cofractionation/Mass Spectrometry and Complex-Centric Algorithm.
Wei LiuXuantang WangHailong YuGuoquan YanShun ShenMingxia GaoXiangmin ZhangPublished in: Analytical chemistry (2024)
The scarcity and dynamic nature of phosphotyrosine (pTyr)-modified proteins pose a challenge for researching protein complexes with pTyr modification, which are assembled through multiple protein-protein interactions. We developed an integrated complex-centric platform for large-scale quantitative profiling of pTyr signaling complexes based on cofractionation/mass spectrometry (CoFrac-MS) and a complex-centric algorithm. We initially constructed a trifunctional probe based on pTyr superbinder (SH2-S) for specifically binding and isolation of intact pTyr protein complexes. Then, the CoFrac-MS strategy was employed for the identification of pTyr protein complexes by integrating ion exchange chromatography in conjunction with data independent acquisition mass spectrometry. Furthermore, we developed a novel complex-centric algorithm for quantifying protein complexes based on the protein complex elution curve. Utilizing this algorithm, we effectively quantified 216 putative protein complexes. We further screened 21 regulated pTyr protein complexes related to the epidermal growth factor signal. Our study engenders a comprehensive framework for the intricate examination of pTyr protein complexes and presents, for the foremost occasion, a quantitative landscape delineating the composition of pTyr protein complexes in HeLa cells.
Keyphrases
- mass spectrometry
- protein protein
- growth factor
- machine learning
- amino acid
- high resolution
- binding protein
- deep learning
- liquid chromatography
- ms ms
- multiple sclerosis
- high throughput
- single cell
- high performance liquid chromatography
- cell proliferation
- cell death
- signaling pathway
- big data
- wastewater treatment
- endoplasmic reticulum stress
- high speed