Nature Communications (Oct 2020)

Standardization and harmonization of distributed multi-center proteotype analysis supporting precision medicine studies

  • Yue Xuan,
  • Nicholas W. Bateman,
  • Sebastien Gallien,
  • Sandra Goetze,
  • Yue Zhou,
  • Pedro Navarro,
  • Mo Hu,
  • Niyati Parikh,
  • Brian L. Hood,
  • Kelly A. Conrads,
  • Christina Loosse,
  • Reta Birhanu Kitata,
  • Sander R. Piersma,
  • Davide Chiasserini,
  • Hongwen Zhu,
  • Guixue Hou,
  • Muhammad Tahir,
  • Andrew Macklin,
  • Amanda Khoo,
  • Xiuxuan Sun,
  • Ben Crossett,
  • Albert Sickmann,
  • Yu-Ju Chen,
  • Connie R. Jimenez,
  • Hu Zhou,
  • Siqi Liu,
  • Martin R. Larsen,
  • Thomas Kislinger,
  • Zhinan Chen,
  • Benjamin L. Parker,
  • Stuart J. Cordwell,
  • Bernd Wollscheid,
  • Thomas P. Conrads

DOI
https://doi.org/10.1038/s41467-020-18904-9
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 12

Abstract

Read online

Distributed multi-omic digitization of clinical specimen across multiple sites is a prerequisite for turning molecular precision medicine into reality. Here, the authors show that coordinated proteotype data acquisition is feasible using standardized MS data acquisition and analysis strategies.