Microamount Phosphopeptide-Enrichment-System-Based Phosphoproteomic Analysis for Small Numbers of Cells and Single Cells

Protein phosphorylation plays an important role in cellular regulation and signal transduction. In this study, we developed a microamount phosphopeptide enrichment system (mPES) to achieve the enrichment of phosphopeptides in nanoliter-scale based on microfluidics and the solid-phase microextraction (SPME) technique. Based on mPES, we established a complete set of phosphoproteomic analysis workflow for trace cell samples, including operations of cell capture, cell lysis, protein proteolysis, phosphopeptide enrichment, and liquid chromatography-tandem mass spectrometry (LC-MS/MS) detection, which can profile phosphoproteomics of complex samples as low as picogram amounts. Cells pretreatment and phosphopeptide enrichment were carried out in the nanoliter-scale volume range, which significantly increased the enrichment efficiency and reduced the sample loss by container adsorption. We applied the present system to the analysis of phosphorylation in 1, 3, 5, 10 HeLa cells, and 83, 117, 187, 227 phosphopeptides were identified after enrichment, respectively. The intensities of phosphopeptides increased by 2.91, 2.80, 8.81, and 9.95 times compared with the control groups. The mPES was further applied to the phosphoproteomic analysis of single mouse oocytes, with an average of 221 phosphoproteins identified in single germinal vesicle (GV) oocytes and 460 in single metaphase II (MII) oocytes, which provided a single-cell perspective for further elucidating the mechanism of oocyte maturation.

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Journal
Analytical Chemistry
Published
2025-04-16
DOI
https://doi.org/10.1021/acs.analchem.4c05141
Citations
1
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.76

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Microamount Phosphopeptide-Enrichment-System-Based Phosphoproteomic Analysis for Small Numbers of Cells and Single Cells

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article

Microamount Phosphopeptide-Enrichment-System-Based Phosphoproteomic Analysis for Small Numbers of Cells and Single Cells

Wei-Xin Ying, Qin‐Qin Xu, Lan‐Rui Cao, Shao-Wen Shi, Zhi-Ying Guan, Jian-Zhang Pan, Qun Fang, Yirong Jiang, Xudong Fu, Qian‐Xi Fan, Jianbo Chen, Yu Wang, Jie Wu, Qiong Wu
article en
1 citations

Abstract

Protein phosphorylation plays an important role in cellular regulation and signal transduction. In this study, we developed a microamount phosphopeptide enrichment system (mPES) to achieve the enrichment of phosphopeptides in nanoliter-scale based on microfluidics and the solid-phase microextraction (SPME) technique. Based on mPES, we established a complete set of phosphoproteomic analysis workflow for trace cell samples, including operations of cell capture, cell lysis, protein proteolysis, phosphopeptide enrichment, and liquid chromatography-tandem mass spectrometry (LC-MS/MS) detection, which can profile phosphoproteomics of complex samples as low as picogram amounts. Cells pretreatment and phosphopeptide enrichment were carried out in the nanoliter-scale volume range, which significantly increased the enrichment efficiency and reduced the sample loss by container adsorption. We applied the present system to the analysis of phosphorylation in 1, 3, 5, 10 HeLa cells, and 83, 117, 187, 227 phosphopeptides were identified after enrichment, respectively. The intensities of phosphopeptides increased by 2.91, 2.80, 8.81, and 9.95 times compared with the control groups. The mPES was further applied to the phosphoproteomic analysis of single mouse oocytes, with an average of 221 phosphoproteins identified in single germinal vesicle (GV) oocytes and 460 in single metaphase II (MII) oocytes, which provided a single-cell perspective for further elucidating the mechanism of oocyte maturation.

Analytical ChemistryVol. 97(16)
Zhejiang University of Science and Technology (CN), Shanghai Liangyou (China) (CN), Zhejiang University (CN)
National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China
Zero hunger
Openalex Percentile: Top 32%
Advanced Proteomics Techniques and Applications
0.76
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