ArticleScientific reports2021
A multiparametric extraction method for Vn96-isolated plasma extracellular vesicles and cell-free DNA that enables multi-omic profiling.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Brain organoids as models of extracellular vesicle-mediated human neural communication.Neural regeneration research · 2026Article
- Surface Proteomics of Cancer-Derived Extracellular Vesicles Reveals Universal Heat Shock Proteins and Cancer Signatures.Molecular & cellular proteomics : MCP · 2026Article
- Exomeres and supermeres: Current advances and perspectives.Bioactive materials · 2025Review
- Extracellular vesicles in malignant and normal B lymphocyte growth and development.Extracellular vesicles and circulating nucleic acids · 2025Review
- Extracellular vesicle-based liquid biopsy biomarkers and their application in precision immuno-oncology.Biomarker research · 2023Review
- Small RNA sequencing analysis of peptide-affinity isolated plasma extracellular vesicles distinguishes pancreatic cancer patients from non-affected individuals.Scientific reports · 2023Article
- Multi-omics of extracellular vesicles: An integrative representation of functional mediators and perspectives on lung disease study.Frontiers in bioinformatics · 2023Article
- Recent developments in isolating methods for exosomes.Frontiers in bioengineering and biotechnology · 2022Review
- Recent Advances in the Discovery of Biomarkers for Canine Osteosarcoma.Frontiers in veterinary science · 2021Review
- Peptide-Affinity Precipitation of Extracellular Vesicles and Cell-Free DNA Improves Sequencing Performance for the Detection of Pathogenic Mutations in Lung Cancer Patient Plasma.International journal of molecular sciences · 2020Article
- Plasma extracellular vesicle sampling from glioblastoma demonstrates a small RNA signature indicative of disease and identifies lncRNANeuro-oncology advancesArticle
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Authors and funding
15 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Extracellular vesicles (EVs) have been recognized as a rich material for the analysis of DNA, RNA, and protein biomarkers. A remaining challenge for the deployment of EV-based diagnostic and prognostic assays in liquid biopsy testing is the development of an EV isolation method that is amenable to a clinical diagnostic lab setting and is compatible with multiple types of biomarker analyses. We have previously designed a synthetic peptide, known as Vn96 (ME kit), which efficiently isolates EVs from multiple biofluids in a short timeframe without the use of specialized lab equipment. Moreover, it has recently been shown that Vn96 also facilitates the co-isolation of cell-free DNA (cfDNA) along with EVs. Herein we describe an optimized method for Vn96 affinity-based EV and cfDNA isolation from plasma samples and have developed a multiparametric extraction protocol for the sequential isolation of DNA, RNA, and protein from the same plasma EV and cfDNA sample. We are able to isolate sufficient material by the multiparametric extraction protocol for use in downstream analyses, including ddPCR (DNA) and 'omic profiling by both small RNA sequencing (RNA) and mass spectrometry (protein), from a minimum volume (4 mL) of plasma. This multiparametric extraction protocol should improve the ability to analyse multiple biomarker materials (DNA, RNA and protein) from the same limited starting material, which may improve the sensitivity and specificity of liquid biopsy tests that exploit EV-based and cfDNA biomarkers for disease detection and monitoring.
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