Maximized quantitative phosphoproteomics allows high confidence dissection of the DNA damage signaling network

Vitor Marcel Faca1,2, Ethan J Sanford1, Jennifer Tieu1

  • 1Department of Molecular Biology and Genetics, Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY, 14853, USA.

Scientific Reports
|October 23, 2020
PubMed

Insights

This study enhances DNA damage response research by improving quantitative phosphoproteomics. The new method accurately identifies more Mec1/ATR kinase substrates, expanding the known DNA damage signaling network.

Area of Science:

  • Molecular Biology
  • Cellular Biology
  • Biochemistry

Background:

  • Genomic stability is maintained by DNA damage sensor kinases that phosphorylate substrates.
  • Mec1/ATR kinase is crucial for orchestrating DNA damage responses.
  • Current substrate networks for Mec1/ATR are incomplete due to limitations in quantitative phosphoproteomics.

Purpose of the Study:

  • To improve the identification and quantitation of phosphopeptides using mass spectrometry.
  • To overcome limitations in statistical power and redundancy in phosphoproteomics datasets.
  • To expand the understanding of the Mec1/ATR signaling network by identifying new substrates.

Main Methods:

  • Analysis of the isotope label swapping strategy for phosphoproteomics.
  • Utilizing data consistency among reciprocal labeling experiments as a filtering rule.
  • Application of the refined approach to identify Mec1/ATR-dependent signaling events.

Main Results:

  • The developed approach significantly reduces false positive quantitations and identifications.
  • High confidence identification and quantitation of phosphopeptides, even with low spectral matches.
  • Discovery of novel Mec1/ATR-dependent signaling events, thereby expanding the DNA damage signaling network.

Conclusions:

  • The refined quantitative phosphoproteomic approach enhances the identification of kinase substrates.
  • This method increases confidence and depth in analyzing kinase signaling networks.
  • The findings contribute to a more comprehensive understanding of DNA damage response pathways.

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