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A new understanding of tissue biology from MS-based proteomics at single-cell resolution

Nature Methods volume 21, pages 2220–2222 (2024)Cite this article

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Spatial mass spectrometry (MS)-proteomics is a rapidly evolving technology, particularly in the form of Deep Visual Proteomics (DVP), which allows the study of single cells directly in their native environment. We believe that this approach will reshape our understanding of tissue biology and redefine fundamental concepts in cell biology, tissue physiology and ultimately human health and disease.

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Fig. 1: Evolution of spatial ‘bulk’ proteomics.
Fig. 2: Deep Visual Proteomics.

References

  1. Aebersold, R. & Mann, M. Nature 537, 347–355 (2016).

    Article  CAS  PubMed  Google Scholar 

  2. Ostasiewicz, P., Zielinska, D. F., Mann, M. & Wisniewski, J. R. J. Proteome Res. 9, 3688–3700 (2010).

    Article  CAS  PubMed  Google Scholar 

  3. Coscia, F. et al. J. Pathol. 251, 100–112 (2020).

    Article  CAS  PubMed  Google Scholar 

  4. Davis, S. et al. Nat. Commun. 14, 7710 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Nwosu, A. J. et al. J. Proteome Res. 21, 2237–2245 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Jimenez, C. R. et al. J. Neurochem. 62, 404–407 (1994).

    Article  CAS  PubMed  Google Scholar 

  7. Giesen, C. et al. Nat. Methods 11, 417–422 (2014).

    Article  CAS  PubMed  Google Scholar 

  8. Lin, J. R., Fallahi-Sichani, M., Chen, J. Y. & Sorger, P. K. Curr. Protoc. Chem. Biol. 8, 251–264 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  9. Goltsev, Y. et al. Cell 174, 968–981 e915 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Rosenberger, F. A. et al. Nat. Methods 20, 1530–1536 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Zheng, X., Mund, A. & Mann, M. Preprint at bioRxiv https://doi.org/10.1101/2024.2005.2022.595266 (2024).

  13. Post, F. et al. Preprint at bioRxiv https://doi.org/10.1101/2024.05.13.593888 (2024).

  14. Nordmann, T. M. et al. Nature https://doi.org/10.1038/s41586-024-08061-0 (2024).

Download references

Acknowledgements

We thank all members of the Proteomics and Signal Transduction group at the Max Planck Institute of Biochemistry (Munich, Germany) and the Clinical Proteomics group at the Novo Nordisk Foundation Center for Protein Research (Copenhagen, Denmark) for their contributions to spatial proteomics.

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Authors and Affiliations

  1. Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany

    Thierry M. Nordmann & Matthias Mann

  2. Proteomics Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark

    Andreas Mund & Matthias Mann

  3. OmicVision Biosciences, BioInnovation Institute, Copenhagen, Denmark

    Andreas Mund

Authors
  1. Thierry M. Nordmann
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  2. Andreas Mund
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Contributions

M.M. conceived the outline of the manuscript. M.M., A.M. and T.M.N. wrote and revised the manuscript.

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Correspondence to Thierry M. Nordmann, Andreas Mund or Matthias Mann.

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Competing interests

M.M. is an indirect investor in Evosep Biosystems and OmicVision Biosciences. A.M. is a co-founder and chief scientific officer of OmicVision Biosciences. T.M.N. declares no competing interests.

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Nordmann, T.M., Mund, A. & Mann, M. A new understanding of tissue biology from MS-based proteomics at single-cell resolution. Nat Methods 21, 2220–2222 (2024). https://doi.org/10.1038/s41592-024-02541-x

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