5. Using the present rapid shotgun phosphoproteomics workflow
(HIFU-TiO 2 -SCX-LC-MS/MS), 15,367 phosphorylation
sites from 13,029 different phosphopeptides belonging to
3,163 phosphoproteins from Jurkat T-cells can be identified
in less than 15 h. To the best of our knowledge, the present
dataset is the largest phosphoproteomics dataset compiled to
date for a particular cellular sample in a limited time frame.
6. Due to its easy and rapid nature, the method presented here
might be applied in parallel for sample preparation with mass
spectrometers of new generation to increase the number of
phosphopeptide identifications and reduce the time of analysis.
In consequence, the present strategy might be applied to analyze the global phosphoproteome profiles of any control or
pathological biological tissue or cell type in a limited time
frame.
Acknowledgments
The authors wish to express their gratitude to the proteomics
laboratory at the Institute of Molecular Systems Biology (IMSB),
Zu ¨rich, Switzerland, mainly to Prof. Dr. Ruedi Aebersold and
Dr. Matthias Gstaiger, for allowing them to perform the
LTQ-Orbitrap XL analysis in their facilities and for their excellent
scientific recommendations. This work was supported by the EU
Marie Curie actions (FP7-PEOPLE-2012-IEF, ref. 332274), by
the Ramo ´ n Areces Foundation (XVII National grant), by the
GAIN-Xunta de Galicia Project (IN607D 2017/01) and by the
Spanish AEI/EU-FEDER (PID2019-103845RB-C21) project.
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