Skip to main content
Log in

Tackling tumor complexity with single-cell proteomics

  • Comment
  • Published:

From Nature Methods

View current issue Submit your manuscript

The development of mass spectrometry-based single-cell proteomics technologies opens unique opportunities to understand the functional crosstalk between cells that drive tumor development.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1: Single-cell proteomics of tumor samples.

References

  1. Hickey, J. W. et al. Nat. Methods 19, 284–295 (2022).

    Article  CAS  PubMed  Google Scholar 

  2. Gonzalez Castro, L. N., Tirosh, I. & Suvà, M. L. Cancer Discov. 11, 960–970 (2021).

    Article  PubMed  Google Scholar 

  3. Jerby-Arnon, L. et al. Cell 175, 984–997.e24 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Kim, C. et al. Cell 173, 879–893.e13 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Shaffer, S. M. et al. Nature 546, 431–435 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Beck, L. & Geiger, T. Curr. Opin. Biotechnol. 76, 102736 (2022).

    Article  CAS  PubMed  Google Scholar 

  7. Slavov, N. Curr. Opin. Chem. Biol. 60, 1–9 (2021).

    Article  CAS  PubMed  Google Scholar 

  8. Mertins, P. et al. Nature 534, 55–62 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Zhang, H. et al. Cell 166, 755–765 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Huang, C. et al. Cancer Cell 39, 361–379.e16 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Yanovich-Arad, G. et al. Cell Rep. 34, 108787 (2021).

    Article  CAS  PubMed  Google Scholar 

  12. Zhu, Y. et al. Angew. Chem. Int. Edn Engl. 57, 12370–12374 (2018).

    Article  CAS  Google Scholar 

  13. Zhu, Y. et al. Nat. Commun. 9, 882 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  14. Budnik, B., Levy, E., Harmange, G. & Slavov, N. Genome Biol. 19, 161 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  15. Specht, H. & Slavov, N. J. Proteome Res. 21, 299–300 (2022).

    Article  CAS  Google Scholar 

  16. Li, Z. Y. et al. Anal. Chem. 90, 5430–5438 (2018).

    Article  CAS  PubMed  Google Scholar 

  17. Shao, X. et al. Anal. Chem. 90, 14003–14010 (2018).

    Article  CAS  PubMed  Google Scholar 

  18. Schoof, E. M. et al. Nat. Commun. 12, 3341 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Cheung, T. K. et al. Nat. Methods 18, 76–83 (2021).

    Article  CAS  PubMed  Google Scholar 

  20. Ye, Z., Batth, T. S., Rüther, P. & Olsen, J. V. Commun. Biol. 5, 150 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Ctortecka, C. et al. An automated workflow for multiplexed single-cell proteomics sample preparation at unprecedented sensitivity. Preprint at bioRxiv https://doi.org/10.1101/2021.04.14.439828 (2022).

  22. Brunner, A. D. et al. Mol. Syst. Biol. 18, e10798 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Gu, L. et al. Preprint at bioRxiv https://doi.org/10.1101/2022.01.02.474723 (2022).

  24. Leduc, A., Huffman, R. G., Cantlon, J., Khan, S. & Slavov, N. Genome Biol. 23, 261 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Bache, N. et al. Mol. Cell Proteomics 17, 2284–2296 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Savitski, M. M. et al. J. Proteome Res. 12, 3586–3598 (2013).

    Article  CAS  PubMed  Google Scholar 

  27. Zhang, F., Ge, W., Ruan, G., Cai, X. & Guo, T. Proteomics 20, e1900276 (2020).

    Article  PubMed  Google Scholar 

  28. Mund, A. et al. Nat. Biotechnol. 40, 1231–1240 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

I acknowledge funding from the Israel Science Foundation–Israel Personalized Medicine Program (grant no. 3495/19) and Horizon Europe ERC-CoG (ProACCT grant no. 101044574).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tamar Geiger.

Ethics declarations

Competing interests

The author declares no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Geiger, T. Tackling tumor complexity with single-cell proteomics. Nat Methods 20, 324–326 (2023). https://doi.org/10.1038/s41592-023-01784-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41592-023-01784-4

  • Springer Nature America, Inc.

This article is cited by

Navigation