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Pick-up single-cell proteomic analysis for quantifying up to 3000 proteins in a Mammalian cell.

Pick-up single-cell proteomic analysis for quantifying up to 3000 proteins in a Mammalian cell.

Authors :
Wang Y
Guan ZY
Shi SW
Jiang YR
Zhang J
Yang Y
Wu Q
Wu J
Chen JB
Ying WX
Xu QQ
Fan QX
Wang HF
Zhou L
Wang L
Fang J
Pan JZ
Fang Q
Source :
Nature communications [Nat Commun] 2024 Feb 10; Vol. 15 (1), pp. 1279. Date of Electronic Publication: 2024 Feb 10.
Publication Year :
2024

Abstract

The shotgun proteomic analysis is currently the most promising single-cell protein sequencing technology, however its identification level of ~1000 proteins per cell is still insufficient for practical applications. Here, we develop a pick-up single-cell proteomic analysis (PiSPA) workflow to achieve a deep identification capable of quantifying up to 3000 protein groups in a mammalian cell using the label-free quantitative method. The PiSPA workflow is specially established for single-cell samples mainly based on a nanoliter-scale microfluidic liquid handling robot, capable of achieving single-cell capture, pretreatment and injection under the pick-up operation strategy. Using this customized workflow with remarkable improvement in protein identification, 2449-3500, 2278-3257 and 1621-2904 protein groups are quantified in single A549 cells (n = 37), HeLa cells (n = 44) and U2OS cells (n = 27) under the DIA (MBR) mode, respectively. Benefiting from the flexible cell picking-up ability, we study HeLa cell migration at the single cell proteome level, demonstrating the potential in practical biological research from single-cell insight.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
2041-1723
Volume :
15
Issue :
1
Database :
MEDLINE
Journal :
Nature communications
Publication Type :
Academic Journal
Accession number :
38341466
Full Text :
https://doi.org/10.1038/s41467-024-45659-4