ArticleJournal of the American Chemical Society2011
Multifunctional core-shell nanoparticles: discovery of previously invisible biomarkers.
Article in Journal of the American Chemical Society, 2011. 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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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.
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Who cites it
55 citing papers in PubMed, 108 citations in OpenAlex.
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- A set of diagnostic tests for detection of active Babesia duncani infection.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2024Article
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- Nano-omics: nanotechnology-based multidimensional harvesting of the blood-circulating cancerome.Nature reviews. Clinical oncology · 2022Review
- A secretory form of Parkin-independent mitophagy contributes to the repertoire of extracellular vesicles released into the tumour interstitial fluid in vivo.Journal of extracellular vesicles · 2022Article
- New Core-Shell Nanostructures for FRET Studies: Synthesis, Characterization, and Quantitative Analysis.International journal of molecular sciences · 2022Article
- Use of magnetic nanotrap particles in capturing Yersinia pestis virulence factors, nucleic acids and bacteria.Journal of nanobiotechnology · 2021Article
- Nanoproteomic Approach for Isolation and Identification of Potential Biomarkers in Human Urine from Adults with Normal Weight, Overweight and Obesity.Molecules (Basel, Switzerland) · 2021Article
- Shotgun proteomics coupled to nanoparticle-based biomarker enrichment reveals a novel panel of extracellular matrix proteins as candidate serum protein biomarkers for early-stage breast cancer detection.Breast cancer research : BCR · 2020Observational
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 3 countries.
Funding
Abstract
Many low-abundance biomarkers for early detection of cancer and other diseases are invisible to mass spectrometry because they exist in body fluids in very low concentrations, are masked by high-abundance proteins such as albumin and immunoglobulins, and are very labile. To overcome these barriers, we created porous, buoyant, core-shell hydrogel nanoparticles containing novel high affinity reactive chemical baits for protein and peptide harvesting, concentration, and preservation in body fluids. Poly(N-isopropylacrylamide-co-acrylic acid) nanoparticles were functionalized with amino-containing dyes via zero-length cross-linking amidation reactions. Nanoparticles functionalized in the core with 17 different (12 chemically novel) molecular baits showed preferential high affinities (K(D) < 10(-11) M) for specific low-abundance protein analytes. A poly(N-isopropylacrylamide-co-vinylsulfonic acid) shell was added to the core particles. This shell chemistry selectively prevented unwanted entry of all size peptides derived from albumin without hindering the penetration of non-albumin small proteins and peptides. Proteins and peptides entered the core to be captured with high affinity by baits immobilized in the core. Nanoparticles effectively protected interleukin-6 from enzymatic degradation in sweat and increased the effective detection sensitivity of human growth hormone in human urine using multiple reaction monitoring analysis. Used in whole blood as a one-step, in-solution preprocessing step, the nanoparticles greatly enriched the concentration of low-molecular weight proteins and peptides while excluding albumin and other proteins above 30 kDa; this achieved a 10,000-fold effective amplification of the analyte concentration, enabling mass spectrometry (MS) discovery of candidate biomarkers that were previously undetectable.
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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.