Nature Communications (May 2021)

A data-independent acquisition-based global phosphoproteomics system enables deep profiling

  • Reta Birhanu Kitata,
  • Wai-Kok Choong,
  • Chia-Feng Tsai,
  • Pei-Yi Lin,
  • Bo-Shiun Chen,
  • Yun-Chien Chang,
  • Alexey I. Nesvizhskii,
  • Ting-Yi Sung,
  • Yu-Ju Chen

DOI
https://doi.org/10.1038/s41467-021-22759-z
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 14

Abstract

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Phosphoproteomics can provide systematic insights into disease-associated cell signaling changes. Here, the authors present a sensitive workflow integrating library-based and direct data-independent acquisition approaches, and a hybrid spectral library resource for in-depth phosphoproteomic profiling.