PROTEOMICS

Deciphering the human phosphoproteome

Machine learning provides a functional score for ~120,000 human phosphorylation sites.

Access options

Rent or Buy article

Get time limited or full article access on ReadCube.

from$8.99

All prices are NET prices.

Fig. 1: Reanalysis of phosphoproteomics datasets in the PRIDE database provides functional scores for individual phosphosites.

References

  1. 1.

    Olsen, J. V. et al. Cell 127, 635–648 (2006).

  2. 2.

    Needham, E.J., Parker, B.L., Burykin, T., James, D.E. & Humphrey, S.J. Sci. Signal. 12, eaau8645 (2019).

  3. 3.

    Ochoa, D. et al. Nat. Biotechnol. https://doi.org/10.1038/s41587-019-0344-3 (2019).

  4. 4.

    Wilson, L. J. et al. Cancer Res. 78, 15–29 (2018).

  5. 5.

    Hornbeck, P. V. et al. Nucleic Acids Res. 43, D512–D520 (2015).

  6. 6.

    Casado, P. et al. Sci. Signal. 6, rs6 (2013).

  7. 7.

    Beekhof, R. et al. Mol. Syst. Biol. 15, e8981 (2019).

  8. 8.

    Francavilla, C. et al. Nat. Struct. Mol. Biol. 23, 608–618 (2016).

  9. 9.

    Perez-Riverol, Y. et al. Nucleic Acids Res. 47D1, D442–D450 (2019).

  10. 10.

    Lundby, A. et al. Cell 179, 543–560.e26 (2019).

Download references

Author information

Correspondence to Jesper V. Olsen.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Franciosa, G., Martinez-Val, A. & Olsen, J.V. Deciphering the human phosphoproteome. Nat Biotechnol (2020). https://doi.org/10.1038/s41587-020-0441-3

Download citation