One thousand samples per day capillary-flow LC/MS/MS for high-speed, high-sensitivity and in-depth proteomics

We developed a capillary-flow LC/MS/MS system with ultrahigh speed, enabling a throughput of 1,000 samples per day while maintaining high sensitivity and depth of analysis. In targeted LC/MS mode, 36 endogenous phosphopeptides in HeLa cells, including EphA2- derived phosphopeptide isomers, were successfully quantified with high selectivity and linearity by combining ion mobility separation. When 500 ng of HeLa cell digest was measured 100 times repeatedly in data-dependent acquisition mode, the coefficient of variation of retention time, peak intensity and number of identified peptides were on average 3.4%, 19.8%, and 6.0%, respectively. In data-independent acquisition mode, this system achieved the identification and quantification of 3,139 protein groups from a 100 ng HeLa cell digest and 2,145 protein groups from a sample of only 10 ng. The coefficient of variation of protein commonly quantified in the triplicate analysis ranged from 12 to 24% for HeLa digest samples ranging from 10 to 1000 ng. Finally, we applied this high-speed system to the spatial proteomics of the mouse brain, and succeeded in capturing the proteome distribution along a 96-sectioned brain structure in 135 minutes. This is the first LC/MS/MS system to achieve both more than 500 samples per day and more than 3000 identified protein groups ID with less than 100 ng human cultured cells simultaneously.

[1]  M. Mann,et al.  MS-Based Proteomics of Body Fluids: The End of the Beginning , 2023, Molecular & cellular proteomics : MCP.

[2]  Marvin Thielert,et al.  Making single-cell proteomics biologically relevant , 2023, Nature Methods.

[3]  C. Gille,et al.  Speedy-PASEF: Analytical flow rate chromatography and trapped ion mobility for deep high-throughput proteomics , 2023, bioRxiv.

[4]  O. Ohara,et al.  Optimization of Ultrafast Proteomics Using an LC-Quadrupole-Orbitrap Mass Spectrometer with Data-Independent Acquisition , 2022, Journal of proteome research.

[5]  J. Meyer,et al.  Parallelization with Dual-Trap Single-Column Configuration Maximizes Throughput of Proteomic Analysis , 2022, bioRxiv.

[6]  A. Brunner,et al.  Unbiased spatial proteomics with single-cell resolution in tissues. , 2022, Molecular cell.

[7]  A. Brunner,et al.  Deep Visual Proteomics defines single-cell identity and heterogeneity , 2022, Nature Biotechnology.

[8]  O. Ohara,et al.  Single-Shot 10K Proteome Approach: Over 10,000 Protein Identifications by Data-Independent Acquisition-Based Single-Shot Proteomics with Ion Mobility Spectrometry , 2022, Journal of proteome research.

[9]  Mario Leutert,et al.  Decoding Post-Translational Modification Crosstalk With Proteomics , 2021, Molecular & cellular proteomics : MCP.

[10]  Luang Xu,et al.  High-Throughput Proteomics and AI for Cancer Biomarker Discovery. , 2021, Advanced drug delivery reviews.

[11]  B. Kuster,et al.  Identification of 7 000-9 000 Proteins from Cell Lines and Tissues by Single-Shot Microflow LC-MS/MS. , 2021, Analytical chemistry.

[12]  Christoph B. Messner,et al.  Ultra-fast proteomics with Scanning SWATH , 2021, Nature Biotechnology.

[13]  Ronald J. Moore,et al.  Surfactant-assisted one-pot sample preparation for label-free single-cell proteomics , 2021, Communications biology.

[14]  Fabian J Theis,et al.  Ultra‐high sensitivity mass spectrometry quantifies single‐cell proteome changes upon perturbation , 2020, bioRxiv.

[15]  Ben C. Collins,et al.  diaPASEF: parallel accumulation–serial fragmentation combined with data-independent acquisition , 2020, Nature Methods.

[16]  J. Meyer,et al.  Quantitative Shotgun Proteome Analysis by Direct Infusion , 2020, Nature Methods.

[17]  Ryan T Kelly,et al.  Single-cell Proteomics: Progress and Prospects , 2020, Molecular & Cellular Proteomics.

[18]  Maximilian T. Strauss,et al.  The proteome landscape of the kingdoms of life , 2020, Nature.

[19]  Christoph B. Messner,et al.  Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection , 2020, Cell Systems.

[20]  Y. Ishihama,et al.  Extending the Separation Space with Trapped Ion Mobility Spectrometry Improves the Accuracy of Isobaric Tag-based Quantitation in Proteomic LC/MS/MS. , 2020, Analytical chemistry.

[21]  Florian P Bayer,et al.  Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC–MS/MS , 2020, Nature Communications.

[22]  Ryan T. Kelly,et al.  Automated mass spectrometry imaging of over 2000 proteins from tissue sections at 100-μm spatial resolution , 2020, Nature Communications.

[23]  Dorte B. Bekker-Jensen,et al.  A Compact Quadrupole-Orbitrap Mass Spectrometer with FAIMS Interface Improves Proteome Coverage in Short LC Gradients* , 2019, Molecular & Cellular Proteomics.

[24]  Yun Wang,et al.  Hierarchical organization of cortical and thalamic connectivity , 2019, Nature.

[25]  Roland Bruderer,et al.  Surpassing 10 000 identified and quantified proteins in a single run by optimizing current LC-MS instrumentation and data analysis strategy. , 2019, Molecular omics.

[26]  Melvin A. Park,et al.  Online Parallel Accumulation–Serial Fragmentation (PASEF) with a Novel Trapped Ion Mobility Mass Spectrometer* , 2018, Molecular & Cellular Proteomics.

[27]  Michael Z. Lin,et al.  A Suite of Transgenic Driver and Reporter Mouse Lines with Enhanced Brain-Cell-Type Targeting and Functionality , 2018, Cell.

[28]  Matthias Mann,et al.  A Novel LC System Embeds Analytes in Pre-formed Gradients for Rapid, Ultra-robust Proteomics* , 2018, Molecular & Cellular Proteomics.

[29]  Ronald J. Moore,et al.  Nanodroplet processing platform for deep and quantitative proteome profiling of 10–100 mammalian cells , 2018, Nature Communications.

[30]  James T. Webber,et al.  An Optimized Chromatographic Strategy for Multiplexing In Parallel Reaction Monitoring Mass Spectrometry: Insights from Quantitation of Activated Kinases* , 2016, Molecular & Cellular Proteomics.

[31]  Ruedi Aebersold,et al.  Mass-spectrometric exploration of proteome structure and function , 2016, Nature.

[32]  M. Buck,et al.  Binding and Function of Phosphotyrosines of the Ephrin A2 (EphA2) Receptor Using Synthetic Sterile α Motif (SAM) Domains* , 2014, The Journal of Biological Chemistry.

[33]  Allan R. Jones,et al.  A mesoscale connectome of the mouse brain , 2014, Nature.

[34]  Lloyd M. Smith,et al.  Proteoform: a single term describing protein complexity , 2013, Nature Methods.

[35]  A. Bennett,et al.  Receptor Protein Tyrosine Phosphatase-Receptor Tyrosine Kinase Substrate Screen Identifies EphA2 as a Target for LAR in Cell Migration , 2013, Molecular and Cellular Biology.

[36]  Naoyuki Sugiyama,et al.  Human proteome analysis by using reversed phase monolithic silica capillary columns with enhanced sensitivity. , 2012, Journal of chromatography. A.

[37]  Masaru Tomita,et al.  One-dimensional capillary liquid chromatographic separation coupled with tandem mass spectrometry unveils the Escherichia coli proteome on a microarray scale. , 2010, Analytical chemistry.

[38]  Masaru Tomita,et al.  Successive and selective release of phosphorylated peptides captured by hydroxy acid-modified metal oxide chromatography. , 2008, Journal of proteome research.

[39]  Masaru Tomita,et al.  Phase transfer surfactant-aided trypsin digestion for membrane proteome analysis. , 2008, Journal of proteome research.

[40]  M. Tomita,et al.  Phosphopeptide Enrichment by Aliphatic Hydroxy Acid-modified Metal Oxide Chromatography for Nano-LC-MS/MS in Proteomics Applications*S , 2007, Molecular & Cellular Proteomics.

[41]  Allan R. Jones,et al.  Genome-wide atlas of gene expression in the adult mouse brain , 2007, Nature.

[42]  Sylvie Garneau-Tsodikova,et al.  Protein posttranslational modifications: the chemistry of proteome diversifications. , 2005, Angewandte Chemie.

[43]  M. Mann,et al.  Stop and go extraction tips for matrix-assisted laser desorption/ionization, nanoelectrospray, and LC/MS sample pretreatment in proteomics. , 2003, Analytical chemistry.

[44]  David J. Anderson,et al.  Molecular Distinction and Angiogenic Interaction between Embryonic Arteries and Veins Revealed by ephrin-B2 and Its Receptor Eph-B4 , 1998, Cell.

[45]  S. Segawa,et al.  End of the beginning , 1990, Nature.

[46]  Reinout Raijmakers,et al.  Multiplex peptide stable isotope dimethyl labeling for quantitative proteomics , 2009, Nature Protocols.

[47]  M. Mann,et al.  Protocol for micro-purification, enrichment, pre-fractionation and storage of peptides for proteomics using StageTips , 2007, Nature Protocols.

[48]  C. Johnson Progress and Prospects , 1991 .