ArticleNanomedicine : nanotechnology, biology, and medicine2015
Protein transfer-mediated surface engineering to adjuvantate virus-like nanoparticles for enhanced anti-viral immune responses.
Article in Nanomedicine : nanotechnology, biology, and medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- (Patho)Physiology of Glycosylphosphatidylinositol-Anchored Proteins II: Intercellular Transfer of Matter (Inheritance?) That Matters.Biomolecules · 2023Review
- Hemagglutinin virus-like particles incorporated with membrane-bound cytokine adjuvants provide protection against homologous and heterologous influenza virus challenge in aged mice.Immunity & ageing : I & A · 2023Article
- Recent Advances and Perspectives of Nanomaterials in Agricultural Management and Associated Environmental Risk: A Review.Nanomaterials (Basel, Switzerland) · 2023Review
- Chemical and Synthetic Biology Approaches for Cancer Vaccine Development.Molecules (Basel, Switzerland) · 2022Review
- Influenza Virus-like Particle-Based Hybrid Vaccine Containing RBD Induces Immunity against Influenza and SARS-CoV-2 Viruses.Vaccines · 2022Article
- Influenza Neuraminidase Characteristics and Potential as a Vaccine Target.Frontiers in immunology · 2021Review
- Tumor membrane-based vaccine immunotherapy in combination with anti-CTLA-4 antibody confers protection against immune checkpoint resistant murine triple-negative breast cancer.Human vaccines & immunotherapeutics · 2020Article
- Progress in the development of virus-like particle vaccines against respiratory viruses.Expert review of vaccines · 2020Review
- Molecular switching system using glycosylphosphatidylinositol to select cells highly expressing recombinant proteins.Scientific reports · 2017Article
- Article
- Biomedical applications of glycosylphosphatidylinositol-anchored proteins.Journal of lipid research · 2016Review
- Progress in developing virus-like particle influenza vaccines.Expert review of vaccines · 2016Review
- Virus-based nanoparticles as platform technologies for modern vaccines.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2016Review
- Immune Protection of Retroviral Vectors Upon Molecular Painting with the Complement Regulatory Protein CD59.Molecular biotechnology · 2016Article
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14 authors.
Funding
Abstract
Recombinant virus-like nanoparticles (VLPs) are a promising nanoparticle platform to develop safe vaccines for many viruses. Herein, we describe a novel and rapid protein transfer process to enhance the potency of enveloped VLPs by decorating influenza VLPs with exogenously added glycosylphosphatidylinositol-anchored immunostimulatory molecules (GPI-ISMs). With protein transfer, the level of GPI-ISM incorporation onto VLPs is controllable by varying incubation time and concentration of GPI-ISMs added. ISM incorporation was dependent upon the presence of a GPI-anchor and incorporated proteins were stable and functional for at least 4weeks when stored at 4°C. Vaccinating mice with GPI-granulocyte macrophage colony-stimulating factor (GM-CSF)-incorporated-VLPs induced stronger antibody responses and better protection against a heterologous influenza virus challenge than unmodified VLPs. Thus, VLPs can be enriched with ISMs by protein transfer to increase the potency and breadth of the immune response, which has implications in developing effective nanoparticle-based vaccines against a broad spectrum of enveloped viruses. FROM THE CLINICAL EDITOR: The inherent problem with current influenza vaccines is that they do not generate effective cross-protection against heterologous viral strains. In this article, the authors described the development of virus-like nanoparticles (VLPs) as influenza vaccines with enhanced efficacy for cross-protection, due to an easy protein transfer modification process.
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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.