ArticleProceedings of the National Academy of Sciences of the United States of America2022
Engineered nanoparticles enable deep proteomics studies at scale by leveraging tunable nano-bio interactions.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07687264 (METabolic FLEXibility in PMOS), which is not on this map. Cited by 54 papers.
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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.
METabolic FLEXibility in PMOS
Who cites it
54 citing papers in PubMed.
- Characterization and Applications of the Protein Corona Forming on the Naturally Occurring Nanoparticles, Low-Density Lipoproteins.ACS central science · 2026Article
- Senotypes define the diverse landscape of senescent cells.Nature aging · 2026Review
- Leveraging nanoparticle protein corona to advance plasma proteome profiling.Nature communications · 2026Review
- Nanoparticle-enriched mass spectrometry enables comprehensive plasma proteomics and reveals novel candidates for mild cognitive impairment.Scientific reports · 2026Article
- Longitudinal deep multi-omics profiling in a CLN3Communications medicine · 2026Article
- Proteomic and Lipidomic Atlas of Gut-Associated Lymph and Venous Depots in Female Piglets.Arteriosclerosis, thrombosis, and vascular biology · 2026Article
- Mass spectrometry-based top-down proteomics for proteoform profiling of protein coronas.Nature protocols · 2026Review
- Biomimetic nanovesicles decorated with chemotactic and target membrane proteins for lupus nephritis treatment.Journal of nanobiotechnology · 2026Article
- Profiling Glycoproteins Enriched by Multinanoparticle Protein Corona.Analytical chemistry · 2026Article
- AI and organoid platforms for brain-targeted theranostics.Theranostics · 2026Review
- Systematic evaluation of blood contamination in nanoparticle-based plasma proteomics.EMBO molecular medicine · 2026Article
- Proteomics of aging: biomarkers for physiological systems and diseases.Frontiers in aging · 2026Review
- Evaluation of Nanoparticle-Based Plasma Enrichment on Individuals with Primary and Metastatic Pancreatic Cancer.Cancers · 2025Article
- Multiplexed Nanoparticle Protein Corona Enables Accurate and Precise Deep Plasma Proteomics.Journal of proteome research · 2025Article
- Novel proteomic characterization of multiple myeloma bone marrow interstitial fluid links prognosis to coagulation pathways.Clinical proteomics · 2025Article
- Multicenter evaluation of label-free quantification in human plasma on a high dynamic range benchmark set.Nature communications · 2025Article
- Current landscape of plasma proteomics from technical innovations to biological insights and biomarker discovery.Communications chemistry · 2025Article
- Sample preparation and cleanup methods for clinical top-down proteomics.Expert review of proteomics · 2025Review
- Machine Learning-Enhanced Nanoparticle Design for Precision Cancer Drug Delivery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Deep and Quantitative Proteomic Profiling of Low Volume Mouse Serum Across the Lifespan.Research square · 2025Article
Corrections and comments
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Authors and funding
31 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
SignificanceDeep profiling of the plasma proteome at scale has been a challenge for traditional approaches. We achieve superior performance across the dimensions of precision, depth, and throughput using a panel of surface-functionalized superparamagnetic nanoparticles in comparison to conventional workflows for deep proteomics interrogation. Our automated workflow leverages competitive nanoparticle-protein binding equilibria that quantitatively compress the large dynamic range of proteomes to an accessible scale. Using machine learning, we dissect the contribution of individual physicochemical properties of nanoparticles to the composition of protein coronas. Our results suggest that nanoparticle functionalization can be tailored to protein sets. This work demonstrates the feasibility of deep, precise, unbiased plasma proteomics at a scale compatible with large-scale genomics enabling multiomic studies.
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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.