Extending the sensitivity, consistency and depth of single-cell proteomics
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cell Biology,Molecular Biology,Biochemistry,Biotechnology
Link
https://www.nature.com/articles/s41592-023-01786-2.pdf
Reference5 articles.
1. Specht, H. & Slavov, N. Transformative opportunities for single cell proteomics. J. Proteome Res. 17, 2565–2571 (2018). An article that outlines major opportunities for single-cell proteomics and emphasizes the benefits of high-throughput targeted (directed) protein analysis.
2. Leduc, A. et al. Exploring functional protein covariation across single cells using nPOP. Genome Biol. 23, 261 (2022). A research article that introduced nPOP, a method that enables efficient, flexible, and scalable sample preparation for single-cell proteomics.
3. Slavov, N. Driving single cell proteomics forward with innovation. J. Proteome Res. 20, 4915–4918 (2021). A perspective article that explains the need and opportunities for optimizing MS data acquisition using real-time instrument control.
4. Wichmann, C. et al. MaxQuant.Live enables global targeting of more than 25,000 peptides. Mol. Cell. Proteom. 18, 982–994 (2019). A research article reporting the software for data acquisition with real-time retention-time alignment that we upgraded to enable prioritization.
5. Slavov, N. Learning from natural variation across the proteomes of single cells. PLoS Biol. 20, e3001512 (2022). A perspective discussing how joint distributions of proteins can enable inference of biological mechanisms with minimal assumptions.
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