Skip to main content
SpringerLink
Log in

Phosphoproteomics takes it easy

  • News & Views
  • Published:

From Nature Biotechnology

View current issue Submit your manuscript

An Erratum to this article was published on 07 April 2016

This article has been updated

The EasyPhos pipeline simplifies analysis of phosphorylation-dependent signaling networks at high temporal resolution.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Figure 1: Generating snapshots of tissue signaling using EasyPhos.

Kim Caesar/Nature Publishing Group

Change history

  • 04 February 2016

    In the version of this article initially published, the page numbers in reference 1 were incorrect, and the reference thus linked online to the wrong article. The error has been corrected in the HTML and PDF versions of the article.

References

  1. Humphrey, S., Azimifar, S.B. & Mann, M. Nat. Biotechnol. 33, 990–995 (2015).

    Article  CAS  PubMed  Google Scholar 

  2. Cohen, P. Trends Biochem. Sci. 25, 596–601 (2000).

    Article  CAS  PubMed  Google Scholar 

  3. Dephoure, N., Gould, K.L., Gygi, S.P. & Kellogg, D.R. Mol. Biol. Cell 24, 535–542 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Andersson, L. & Porath, J. Anal. Biochem. 154, 250–254 (1986).

    Article  CAS  PubMed  Google Scholar 

  5. Pinkse, M.W., Uitto, P.M., Hilhorst, M.J., Ooms, B. & Heck, A.J. Anal. Chem. 76, 3935–3943 (2004).

    Article  CAS  PubMed  Google Scholar 

  6. Tape, C.J. et al. Anal. Chem. 86, 10296–10302 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Luber, C.A. et al. Immunity 32, 279–289 (2010).

    Article  CAS  PubMed  Google Scholar 

  8. Scheltema, R.A. et al. Mol. Cell. Proteomics 13, 3698–3708 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Dickhut, C., Feldmann, I., Lambert, J. & Zahedi, R.P. J. Proteome Res. 13, 2761–2770 (2014).

    Article  CAS  PubMed  Google Scholar 

  10. de Graaf, E.L., Giansanti, P., Altelaar, A.F. & Heck, A.J. Mol. Cell. Proteomics 13, 2426–2434 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Soste, M. et al. Nat. Methods 11, 1045–1048 (2014).

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Biology, Paola Picotti is at the Institute of Biochemistry, ETH Zurich, Zurich, Switzerland.,

    Paola Picotti

Authors
  1. Paola Picotti
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Paola Picotti.

Ethics declarations

Competing interests

The author declares no competing financial interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Picotti, P. Phosphoproteomics takes it easy. Nat Biotechnol 33, 929–930 (2015). https://doi.org/10.1038/nbt.3345

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nbt.3345

  • Springer Nature America, Inc.

This article is cited by

Search

Navigation