ArticleNature communications2020
Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC-MS/MS.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 155 papers.
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Who cites it
155 citing papers in PubMed.
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- Comprehensive distribution analysis of cyclosporin A on mice tissues applying mass spectrometry imaging.Analytical and bioanalytical chemistry · 2026Article
- Peptide-centric local stability assay (PELSA) for sensitive identification of ligand-targeting proteins and binding sites at proteome scale.Nature protocols · 2026Review
- High-throughput label-free single-cell proteomics enabled by multicolumn NanoLC.Nature communications · 2026Article
- Integrating Low-Voltage Microfluidics With On-Chip Electrospray Ionization for Miniaturized Protein Analysis.Small methods · 2026Review
- Limited Impact of Column Chemistry and Length on Proteome Coverage Under High-Speed DIA.Molecular & cellular proteomics : MCP · 2026Article
- Characterizing the Effects of Protein Glycosylation Perturbation on Phosphorylation Signaling.Analytical chemistry · 2026Article
- Propionic Acid Outperforms Formic and Acetic Acid in MS Sensitivity for High-Flow Reversed-Phase LC-MS Bottom-Up Proteomics.Analytical chemistry · 2026Article
- Multi-layered molecular profiling informs the diagnosis and targeted therapy of desmoplastic small round cell tumor.Nature communications · 2026Article
- Factor VIII restores bone parameters and modulates muscle proteo-metabolome in Factor VIII knockout male mice.Bone research · 2026Article
- Advancing Extracellular Vesicle Research: A Review of Systems Biology and Multiomics Perspectives.Proteomics · 2026Review
- Advances in Multiple Reaction Monitoring (MRM) for Targeted Proteomics in Biomedical Research.Advances in experimental medicine and biology · 2026Review
- Performance Characteristics of Zeno Trap Scanning DIA for Sensitive and Quantitative Proteomics at High Throughput.Proteomics · 2026Article
- A label-free microLC-SWATH-MS methodology with immunoaffinity depletion of highly abundant serum proteins for quantitative proteomic comparison of fresh-frozen human normal breast tissue and tumor clinical specimens.Frontiers in molecular biosciences · 2026Article
- Simultaneous single-cell proteomics and epigenetic analysis of histone deacetylase inhibition in human cells.Communications biology · 2025Article
- Characterizing the Effects of Protein Glycosylation Perturbation on Phosphorylation Signaling.bioRxiv : the preprint server for biology · 2025Article
- LCMSpector: A simple open-source viewer for targeted hyphenated mass spectrometry analysis.PLoS computational biology · 2025Article
- Proteome-Wide Monitoring of Drug Action in Living Cells Using a Novel Label-Free Solvent-Based Shift Assay.Molecular & cellular proteomics : MCP · 2025Article
- High-Throughput Label-free Single-Cell Proteomics Enabled by Multicolumn NanoLC with a 5-min Cycle Time.Research square · 2025Article
- Appraisal of the Use of Proteomics Methodological Approaches and Technologies on Sheep and Goat Research and Clinical Work.Animals : an open access journal from MDPI · 2025Article
95 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
17 authors.
Funding
Abstract
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 1 × 150 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.
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