Fast proteomics with dia-PASEF and analytical flow-rate chromatography.
Lukasz SzyrwielChristoph GilleMichael MüllederVadim DemichevMarkus RalserPublished in: Proteomics (2023)
Increased throughput in proteomic experiments can improve accessibility of proteomic platforms, reduce costs, and facilitate new approaches in systems biology and biomedical research. Here we propose combination of analytical flow rate chromatography with ion mobility separation of peptide ions, data-independent acquisition, and data analysis with the DIA-NN software suite, to achieve high-quality proteomic experiments from limited sample amounts, at a throughput of up to 400 samples per day. For instance, when benchmarking our workflow using a 500-μL/min flow rate and 3-min chromatographic gradients, we report the quantification of 5211 proteins from 2 μg of a mammalian cell-line standard at high quantitative accuracy and precision. We further used this platform to analyze blood plasma samples from a cohort of COVID-19 inpatients, using a 3-min chromatographic gradient and alternating column regeneration on a dual pump system. The method delivered a comprehensive view of the COVID-19 plasma proteome, allowing classification of the patients according to disease severity and revealing plasma biomarker candidates.
Keyphrases
- liquid chromatography
- data analysis
- mass spectrometry
- coronavirus disease
- simultaneous determination
- sars cov
- tandem mass spectrometry
- label free
- end stage renal disease
- high speed
- chronic kidney disease
- high resolution
- newly diagnosed
- ejection fraction
- peritoneal dialysis
- stem cells
- high performance liquid chromatography
- prognostic factors
- machine learning
- electronic health record
- ms ms
- patient reported outcomes
- deep learning
- solid phase extraction
- patient reported