Parallelization with Dual-Trap Single-Column Configuration Maximizes Throughput of Proteomic Analysis.
Simion KreimerAli HaghaniAleksandra BinekAlisse HauspurgSaeed SeyedmohammadAlejandro RivasAmanda MomenzadehJesse G MeyerKoen RaedscheldersJennifer E Van EykPublished in: Analytical chemistry (2022)
Proteomic analysis on the scale that captures population and biological heterogeneity over hundreds to thousands of samples requires rapid mass spectrometry methods, which maximize instrument utilization (IU) and proteome coverage while maintaining precise and reproducible quantification. To achieve this, a short liquid chromatography gradient paired to rapid mass spectrometry data acquisition can be used to reproducibly quantify a moderate set of analytes. High-throughput profiling at a limited depth is becoming an increasingly utilized strategy for tackling large sample sets but the time spent on loading the sample, flushing the column(s), and re-equilibrating the system reduces the ratio of meaningful data acquired to total operation time and IU. The dual-trap single-column configuration (DTSC) presented here maximizes IU in rapid analysis (15 min per sample) of blood and cell lysates by parallelizing trap column cleaning and sample loading and desalting with the analysis of the previous sample. We achieved 90% IU in low microflow (9.5 μL/min) analysis of blood while reproducibly quantifying 300-400 proteins and over 6000 precursor ions. The same IU was achieved for cell lysates and over 4000 proteins (3000 at CV below 20%) and 40,000 precursor ions were quantified at a rate of 15 min/sample. Thus, DTSC enables high-throughput epidemiological blood-based biomarker cohort studies and cell-based perturbation screening.
Keyphrases
- liquid chromatography
- mass spectrometry
- single cell
- high throughput
- high resolution mass spectrometry
- tandem mass spectrometry
- cell therapy
- solid phase extraction
- high performance liquid chromatography
- simultaneous determination
- electronic health record
- capillary electrophoresis
- high resolution
- stem cells
- quantum dots
- bone marrow
- healthcare
- big data
- loop mediated isothermal amplification
- optical coherence tomography
- ms ms
- mesenchymal stem cells
- artificial intelligence
- sensitive detection
- data analysis
- deep learning
- aqueous solution