Nature Communications (Jan 2020)
Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC–MS/MS
- Yangyang Bian,
- Runsheng Zheng,
- Florian P. Bayer,
- Cassandra Wong,
- Yun-Chien Chang,
- Chen Meng,
- Daniel P. Zolg,
- Maria Reinecke,
- Jana Zecha,
- Svenja Wiechmann,
- Stephanie Heinzlmeir,
- Johannes Scherr,
- Bernhard Hemmer,
- Mike Baynham,
- Anne-Claude Gingras,
- Oleksandr Boychenko,
- Bernhard Kuster
Affiliations
- Yangyang Bian
- Chair of Proteomics and Bioanalytics, Technical University of Munich
- Runsheng Zheng
- Chair of Proteomics and Bioanalytics, Technical University of Munich
- Florian P. Bayer
- Chair of Proteomics and Bioanalytics, Technical University of Munich
- Cassandra Wong
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System
- Yun-Chien Chang
- Chair of Proteomics and Bioanalytics, Technical University of Munich
- Chen Meng
- Bavarian Biomolecular Mass Spectrometry Center (BayBioMS), Technical University of Munich
- Daniel P. Zolg
- Chair of Proteomics and Bioanalytics, Technical University of Munich
- Maria Reinecke
- Chair of Proteomics and Bioanalytics, Technical University of Munich
- Jana Zecha
- Chair of Proteomics and Bioanalytics, Technical University of Munich
- Svenja Wiechmann
- Chair of Proteomics and Bioanalytics, Technical University of Munich
- Stephanie Heinzlmeir
- Chair of Proteomics and Bioanalytics, Technical University of Munich
- Johannes Scherr
- Centre for Preventive and Sports Medicine, Klinikum Rechts der Isar, Technical University of Munich
- Bernhard Hemmer
- Department of Neurology, Klinikum Rechts der Isar, Medical Faculty, Technical University of Munich
- Mike Baynham
- Thermo Fisher Scientific
- Anne-Claude Gingras
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System
- Oleksandr Boychenko
- Thermo Fisher Scientific
- Bernhard Kuster
- Chair of Proteomics and Bioanalytics, Technical University of Munich
- DOI
- https://doi.org/10.1038/s41467-019-13973-x
- Journal volume & issue
-
Vol. 11,
no. 1
pp. 1 – 12
Abstract
Mass spectrometry-based proteomics typically relies on highly sensitive nano-flow liquid chromatography (LC) but this can reduce robustness and reproducibility. Here, the authors show that micro-flow LC enables robust and reproducible high-throughput proteomics experiments at a very moderate loss of sensitivity.
