ArticleNature communications2022
Measurements of heterogeneity in proteomics analysis of the nanoparticle protein corona across core facilities.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
50 citing papers in PubMed, 83 citations in OpenAlex.
- Multifunctional Nanomaterials for Precision Diagnostics and Drug Delivery: AI-Assisted Biosensing, Barrier-Directed Transport, Stimuli-Responsive Release, and Theranostic Integration.Molecules (Basel, Switzerland) · 2026Review
- Nanotechnology-Enabled Targeted Protein Degradation: Strategies, Opportunities, and Challenges.Small methods · 2026Review
- Integrated top-down and bottom-up proteomics enables precise characterization of proteoforms within the protein corona.Nature communications · 2026Article
- Differential protein network and biological functions atlas from multi-tissue proteomics in patients with depression.Molecular psychiatry · 2026Article
- Body Mass Index-Specific Nanoparticle Protein Corona Signatures in Late Pregnancy.bioRxiv : the preprint server for biology · 2026Article
- High-Sensitivity Magnetic Levitation Reveals Intrinsic Protein Corona Heterogeneity on Identical Nanoparticles.bioRxiv : the preprint server for biology · 2026Article
- MXene-Protein Corona Interfaces for Molecular Profiling of Alzheimer's Disease.bioRxiv : the preprint server for biology · 2026Article
- Mass Spectrometry Proteomics of the Nanoparticle Corona Is Highly Dependent on Sample Preparation Protocol.Proteomics · 2026Article
- Mass spectrometry-based top-down proteomics for proteoform profiling of protein coronas.Nature protocols · 2026Review
- Preventing Proteomics Data Tombs Through Collective Responsibility and Community Engagement.Scientific data · 2026Article
- Multiomics insights into eating time patterns and cardiovascular risk among Chinese children.Nature communications · 2026Article
- Review
- Systematic evaluation of blood contamination in nanoparticle-based plasma proteomics.EMBO molecular medicine · 2026Article
- Improving accuracy and reproducibility of mass spectrometry characterization of protein coronas on nanoparticles.Nature protocols · 2025Review
- Rethinking analytical approaches to nanoparticles protein corona heterogeneity: a call for innovation.Nanomedicine (London, England) · 2025Article
- Influence of the protein corona on hematopoietic stem and progenitor cell uptake and macrophage clearance of membrane-wrapped nanoparticles.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Protein corona formed on lipid nanoparticles compromises delivery efficiency of mRNA cargo.Nature communications · 2025Article
- Integrated top-down and bottom-up mass spectrometry enables precise characterization of proteoforms and their post-translational modifications within the protein corona.Research square · 2025Article
- 33 Unresolved Questions in Nanoscience and Nanotechnology.ACS nano · 2025Article
- The Challenges and Opportunities of Protein Coronas for Nanoscale Biomolecular Sensing.Small (Weinheim an der Bergstrasse, Germany) · 2025Review
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 3 countries.
Funding
Abstract
Robust characterization of the protein corona-the layer of proteins that spontaneously forms on the surface of nanoparticles immersed in biological fluids-is vital for prediction of the safety, biodistribution, and diagnostic/therapeutic efficacy of nanomedicines. Protein corona identity and abundance characterization is entirely dependent on liquid chromatography coupled to mass spectroscopy (LC-MS/MS), though the variability of this technique for the purpose of protein corona characterization remains poorly understood. Here we investigate the variability of LC-MS/MS workflows in analysis of identical aliquots of protein coronas by sending them to different proteomics core-facilities and analyzing the retrieved datasets. While the shared data between the cores correlate well, there is considerable heterogeneity in the data retrieved from different cores. Specifically, out of 4022 identified unique proteins, only 73 (1.8%) are shared across the core facilities providing semiquantitative analysis. These findings suggest that protein corona datasets cannot be easily compared across independent studies and more broadly compromise the interpretation of protein corona research, with implications in biomarker discovery as well as the safety and efficacy of our nanoscale biotechnologies.
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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.