ArticleMolecular systems biology2022
Ultra-high sensitivity mass spectrometry quantifies single-cell proteome changes upon perturbation.
Article in Molecular systems biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 301 papers.
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Who cites it
301 citing papers in PubMed, 512 citations in OpenAlex.
- ProFormer: generalizable classification of single-cell and plasma proteomes using deep learning.Nature communications · 2026Article
- Post-translational modification of proteins in the human testis development pathway.Human reproduction update · 2026Review
- Deep visual multi-omics profiling links morphology and molecular programs in clear cell renal cell carcinoma.EMBO molecular medicine · 2026Article
- Pushing the limits of single-cell proteomics to investigate bacterial heterogeneity using bacSCP.Nature communications · 2026Article
- Proteomic investigation of signaling dynamics: from static maps to network rewiring.Bioscience reports · 2026Review
- SoftHybrid: A Hybrid Imputation Algorithm Optimized for Single-Cell Proteomics Data.Journal of proteome research · 2026Article
- Single-Cell Proteomics Reveals Proteome Remodeling and Cellular Heterogeneity During NGF-Induced PC12 Neuronal Differentiation.ACS chemical neuroscience · 2026Article
- A pre-trained large generative model for translating single-cell transcriptomes to proteomes.Nature biomedical engineering · 2026Article
- Single-cell proteomic landscape of the developing human brain.Nature biotechnology · 2026Article
- Resolving Immune Lineage and Cell-State Heterogeneity in Human PBMCs via Mass Spectrometry-Based Single-Cell Proteomics.bioRxiv : the preprint server for biology · 2026Article
- Review
- NicheProt: Cell-type-resolved proteomics of tissue compartments.Science advances · 2026Article
- msBayesImpute as a versatile framework for addressing missing values in biomedical mass spectrometry proteomics data.Communications chemistry · 2026Article
- Dissecting autonomous enzymatic variability in single cells.Nature communications · 2026Article
- AlphaDIA enables DIA transfer learning for feature-free proteomics.Nature biotechnology · 2026Article
- Phosphorylation beyond the plasma membrane: How secretory pathway kinases sculpt the cellular dialogue in cancer (Review).International journal of molecular medicine · 2026Review
- Integrating Single-Cell Sequencing and Proteomics to Unravel Stem Cell Heterogeneity: Implications for Precision Regenerative Medicine.Stem cell reviews and reports · 2026Review
- EasySCP unveils extensive liver zonation at single-cell proteomics resolution.Nature communications · 2026Article
- Distinct and combined interferon-ɑ/β-receptor-1 loss in neurons and astrocytes disrupt brain energy metabolism and drive Parkinsonian dementia.Journal of biomedical science · 2026Article
- Accurate quantification in proteomics with QuantUMS.Nature biotechnology · 2026Article
241 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
17 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-cell technologies are revolutionizing biology but are today mainly limited to imaging and deep sequencing. However, proteins are the main drivers of cellular function and in-depth characterization of individual cells by mass spectrometry (MS)-based proteomics would thus be highly valuable and complementary. Here, we develop a robust workflow combining miniaturized sample preparation, very low flow-rate chromatography, and a novel trapped ion mobility mass spectrometer, resulting in a more than 10-fold improved sensitivity. We precisely and robustly quantify proteomes and their changes in single, FACS-isolated cells. Arresting cells at defined stages of the cell cycle by drug treatment retrieves expected key regulators. Furthermore, it highlights potential novel ones and allows cell phase prediction. Comparing the variability in more than 430 single-cell proteomes to transcriptome data revealed a stable-core proteome despite perturbation, while the transcriptome appears stochastic. Our technology can readily be applied to ultra-high sensitivity analyses of tissue material, posttranslational modifications, and small molecule studies from small cell counts to gain unprecedented insights into cellular heterogeneity in health and disease.
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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.