4.8 Article

Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC-MS/MS

Journal

NATURE COMMUNICATIONS
Volume 11, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41467-019-13973-x

Keywords

-

Funding

  1. Alexander von Humboldt Foundation
  2. Carl Friedrich von Siemens Foundation
  3. National Natural Science Foundation of China [81600046]
  4. Chinese Scholarship Council (CSC)
  5. German Science foundation [DFG-SFB1309]
  6. ProteomeTools project (BMBF) [031L0008A]
  7. German Excellence Initiative
  8. Canadian Institutes of Health Research Foundation Grant (CIHR) [FDN 143301]
  9. Government of Ontario
  10. Genome Canada
  11. Ontario Genomics [OGI-139]

Ask authors/readers for more resources

Nano-flow liquid chromatography tandem mass spectrometry (nano-flow LC-MS/MS) is the mainstay in proteome research because of its excellent sensitivity but often comes at the expense of robustness. Here we show that micro-flow LC-MS/MS using a 1x150 mm column shows excellent reproducibility of chromatographic retention time (<0.3% coefficient of variation, CV) and protein quantification (<7.5% CV) using data from >2000 samples of human cell lines, tissues and body fluids. Deep proteome analysis identifies >9000 proteins and >120,000 peptides in 16 h and sample multiplexing using tandem mass tags increases throughput to 11 proteomes in 16 h. The system identifies >30,000 phosphopeptides in 12 h and protein-protein or protein-drug interaction experiments can be analyzed in 20 min per sample. We show that the same column can be used to analyze >7500 samples without apparent loss of performance. This study demonstrates that micro-flow LC-MS/MS is suitable for a broad range of proteomic applications.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available