ArticleMethods in enzymology2023
Quantitative structural proteomics in living cells by covalent protein painting.
Article in Methods in enzymology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Integrative proteomics and metabolomics advance early cancer detection and targeted therapy with emerging technologies and clinical applications.Discover oncology · 2026Review
- 3D Proteomics: Structural, Functional, Chemical and Biomarker Discovery Proteomics With LiP-MS.Molecular & cellular proteomics : MCP · 2026Review
- In vivo conformational space and defects of misfolded CFTR variants by covalent protein painting.Nature communications · 2025Article
- Proteins with cognition-associated structural changes in a rat model of aging exhibit reduced refolding capacity.Science advances · 2025Article
- Quantitative readout of methionine residue solvent accessibility in E. coli cells using radiolytic hydroxyl radical labeling and mass spectrometry.Biochemical and biophysical research communications · 2025Article
- Relevance of proteomics and metabolomics approaches to overview the tumorigenesis and better management of cancer.3 Biotech · 2025Review
- Regulation of gene expression through protein-metabolite interactions.npj metabolic health and disease · 2025Review
- Analysis of Brain Protein Stability Changes in a Mouse Model of Alzheimer's Disease.Journal of proteome research · 2024Article
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Authors and funding
4 authors.
Funding
Abstract
The fold and conformation of proteins are key to successful cellular function, but all techniques for protein structure determination are performed in an artificial environment with highly purified proteins. While protein conformations have been solved to atomic resolution and modern protein structure prediction tools rapidly generate near accurate models of proteins, there is an unmet need to uncover the conformations of proteins in living cells. Here, we describe Covalent Protein Painting (CPP), a simple and fast method to infer structural information on protein conformation in cells with a quantitative protein footprinting technology. CPP monitors the conformational landscape of the 3D proteome in cells with high sensitivity and throughput. A key advantage of CPP is its' ability to quantitatively compare the 3D proteomes between different experimental conditions and to discover significant changes in the protein conformations. We detail how to perform a successful CPP experiment, the factors to consider before performing the experiment, and how to interpret the results.
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Registered trials
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