One-Tip enables comprehensive proteome coverage in minimal cells and single zygotes

Mass spectrometry (MS)-based proteomics workflows typically involve complex, multi-step processes, presenting challenges with sample losses, reproducibility, requiring substantial time and financial investments, and specialized skills. Here we introduce One-Tip, a proteomics methodology that seamles...

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Veröffentlicht in:Nature communications 2024-03, Vol.15 (1), p.2474-10, Article 2474
Hauptverfasser: Ye, Zilu, Sabatier, Pierre, Martin-Gonzalez, Javier, Eguchi, Akihiro, Lechner, Maico, Østergaard, Ole, Xie, Jingsheng, Guo, Yuan, Schultz, Lesley, Truffer, Rafaela, Bekker-Jensen, Dorte B., Bache, Nicolai, Olsen, Jesper V.
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Sprache:eng
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Zusammenfassung:Mass spectrometry (MS)-based proteomics workflows typically involve complex, multi-step processes, presenting challenges with sample losses, reproducibility, requiring substantial time and financial investments, and specialized skills. Here we introduce One-Tip, a proteomics methodology that seamlessly integrates efficient, one-pot sample preparation with precise, narrow-window data-independent acquisition (nDIA) analysis. One-Tip substantially simplifies sample processing, enabling the reproducible identification of >9000 proteins from ~1000 HeLa cells. The versatility of One-Tip is highlighted by nDIA identification of ~6000 proteins in single cells from early mouse embryos. Additionally, the study incorporates the Uno Single Cell Dispenser™, demonstrating the capability of One-Tip in single-cell proteomics with >3000 proteins identified per HeLa cell. We also extend One-Tip workflow to analysis of extracellular vesicles (EVs) extracted from blood plasma, demonstrating its high sensitivity by identifying >3000 proteins from 16 ng EV preparation. One-Tip expands capabilities of proteomics, offering greater depth and throughput across a range of sample types. Traditional proteomics methods are complex and resource-intensive. Here, the authors develop One-Tip, a highly simplified approach that enables efficient, sensitive, and comprehensive analysis across various sample types, from blood plasma to single cells.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-024-46777-9