ArticleNature communications2024
Automated single-cell proteomics providing sufficient proteome depth to study complex biology beyond cell type classifications.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
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Who cites it
55 citing papers in PubMed.
- Single-cell proteomics: When individual cells tell population stories.Trends in biochemical sciences · 2026Article
- Optimized Sample Handling Minimizes Peptide Adsorption to Plastics to Enable High Sensitivity Evosep Based Chemical Proteomics.Proteomics · 2026Article
- Democratized single-cell proteomics resolves cell state heterogeneity in skin tumors.Life science alliance · 2026Article
- Proteomic investigation of signaling dynamics: from static maps to network rewiring.Bioscience reports · 2026Review
- Resolving Immune Lineage and Cell-State Heterogeneity in Human PBMCs via Mass Spectrometry-Based Single-Cell Proteomics.bioRxiv : the preprint server for biology · 2026Article
- Molecular profiling of the single-cell proteome via gel electrophoresis and 3D single-molecule imaging.Nature communications · 2026Article
- Long-Chain S-Acylation Is a Key Modulator During the Macrophage Inflammatory Response.Molecular & cellular proteomics : MCP · 2026Article
- MLMarker: a machine learning framework for tissue inference and biomarker discovery.Genome biology · 2026Article
- What Are the Practical Applications of Single-Cell Proteomics?Proteomes · 2026Article
- Full-DIA enables complete single-cell proteomics from diaPASEF using deep learning.Genome biology · 2026Article
- Article
- Single-Cell Proteomics Reveals Novel Cell Phenotypes in Marfan Mouse Aneurysm.Molecular & cellular proteomics : MCP · 2026Article
- Nanoscaled, Fully Automated Hydrogen/Deuterium Exchange for Analysis of Macromolecular Assemblies Reaching the MDa Scale.Molecular & cellular proteomics : MCP · 2026Article
- Article
- Data-independent acquisition-based quantitative proteomics in plants.Frontiers in plant science · 2026Review
- Recent advances in phosphoproteomics based on mass spectrometry and its clinical application prospects.Frontiers in pharmacology · 2026Review
- Integrated analysis of post-transcriptional regulations reveals insights into acute myeloid leukemia.Communications biology · 2025Article
- Single cell proteomic analysis defines discrete neutrophil functional states in human glioblastoma.Nature communications · 2025Article
- Mass spectrometry-based profiling of single-cell histone post-translational modifications to dissect chromatin heterogeneity.Nature communications · 2025Article
- Decoding replication stress responses through post-translational modifications.Nature chemical biology · 2025Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The recent technological and computational advances in mass spectrometry-based single-cell proteomics have pushed the boundaries of sensitivity and throughput. However, reproducible quantification of thousands of proteins within a single cell remains challenging. To address some of those limitations, we present a dedicated sample preparation chip, the proteoCHIP EVO 96 that directly interfaces with the Evosep One. This, in combination with the Bruker timsTOF demonstrates double the identifications without manual sample handling and the newest generation timsTOF Ultra identifies up to 4000 with an average of 3500 protein groups per single HEK-293T without a carrier or match-between runs. Our workflow spans 4 orders of magnitude, identifies over 50 E3 ubiquitin-protein ligases, and profiles key regulatory proteins upon small molecule stimulation. This study demonstrates that the proteoCHIP EVO 96-based sample preparation with the timsTOF Ultra provides sufficient proteome depth to study complex biology beyond cell-type classifications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.