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
Affiliations
- Yue Xuan
- Thermo Fisher Scientific GmbH
- Nicholas W. Bateman
- Gynecologic Cancer Center of Excellence, Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Uniformed Services University and Walter Reed National Military Medical Center
- Sebastien Gallien
- Thermo Fisher Scientific
- Sandra Goetze
- Institute of Translational Medicine, Department of Health Sciences and Technology
- Yue Zhou
- Thermo Fisher Scientific Co. Ltd
- Pedro Navarro
- Thermo Fisher Scientific GmbH
- Mo Hu
- Thermo Fisher Scientific Co. Ltd
- Niyati Parikh
- Gynecologic Cancer Center of Excellence, Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Uniformed Services University and Walter Reed National Military Medical Center
- Brian L. Hood
- Gynecologic Cancer Center of Excellence, Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Uniformed Services University and Walter Reed National Military Medical Center
- Kelly A. Conrads
- Gynecologic Cancer Center of Excellence, Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Uniformed Services University and Walter Reed National Military Medical Center
- Christina Loosse
- Leibniz-Institut für Analytische Wissenschaften—ISAS—e.V.
- Reta Birhanu Kitata
- Institute of Chemistry, Academia Sinica
- Sander R. Piersma
- Department of Medical Oncology, Cancer Center Amsterdam
- Davide Chiasserini
- Department of Medical Oncology, Cancer Center Amsterdam
- Hongwen Zhu
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences
- Guixue Hou
- BGI-SHENZHEN, Beishan Road, Yantian District
- Muhammad Tahir
- Department of Biochemistry and Molecular Biology, University of Southern Denmark
- Andrew Macklin
- Princess Margaret Cancer Centre
- Amanda Khoo
- Princess Margaret Cancer Centre
- Xiuxuan Sun
- National Translational Science Center for Molecular Medicine
- Ben Crossett
- Sydney Mass Spectrometry, The University of Sydney
- Albert Sickmann
- Leibniz-Institut für Analytische Wissenschaften—ISAS—e.V.
- Yu-Ju Chen
- Institute of Chemistry, Academia Sinica
- Connie R. Jimenez
- Department of Medical Oncology, Cancer Center Amsterdam
- Hu Zhou
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences
- Siqi Liu
- BGI-SHENZHEN, Beishan Road, Yantian District
- Martin R. Larsen
- Department of Biochemistry and Molecular Biology, University of Southern Denmark
- Thomas Kislinger
- Princess Margaret Cancer Centre
- Zhinan Chen
- National Translational Science Center for Molecular Medicine
- Benjamin L. Parker
- School of Life and Environmental Science, The University of Sydney
- Stuart J. Cordwell
- School of Life and Environmental Science, The University of Sydney
- Bernd Wollscheid
- Institute of Translational Medicine, Department of Health Sciences and Technology
- Thomas P. Conrads
- Women’s Health Integrated Research Center, Women’s Service Line, Inova Health System
- DOI
- https://doi.org/10.1038/s41467-020-18904-9
- Journal volume & issue
-
Vol. 11,
no. 1
pp. 1 – 12
Abstract
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.