Polyethylene glycol improves current methods for circulating extracellular vesicle-derived DNA isolation View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

N. García-Romero, R. Madurga, G. Rackov, I. Palacín-Aliana, R. Núñez-Torres, A. Asensi-Puig, J. Carrión-Navarro, S. Esteban-Rubio, H. Peinado, A. González-Neira, V. González-Rumayor, C. Belda-Iniesta, A. Ayuso-Sacido

ABSTRACT

BACKGROUND: Extracellular vesicles (EVs) are small membrane-bound vesicles which play an important role in cell-to-cell communication. Their molecular cargo analysis is presented as a new source for biomarker detection, and it might provide an alternative to traditional solid biopsies. However, the most effective approach for EV isolation is not yet well established. RESULTS: Here, we study the efficiency of the most common EV isolation methods-ultracentrifugation, Polyethlyene glycol and two commercial kits, Exoquick® and PureExo®. We isolated circulating EVs from the bloodstream of healthy donors, characterized the size and yield of EVs and analyzed their protein profiles and concentration. Moreover, we have used for the first time Digital-PCR to identify and detect specific gDNA sequences, which has several implications for diagnostic and monitoring many types of diseases. CONCLUSIONS: Our findings present Polyethylene glycol precipitation as the most feasible and less cost-consuming EV isolation technique. More... »

PAGES

75

References to SciGraph publications

  • 2018-12. In situ immune response and mechanisms of cell damage in central nervous system of fatal cases microcephaly by Zika virus in SCIENTIFIC REPORTS
  • 2015-12. Increased number of circulating exosomes and their microRNA cargos are potential novel biomarkers in alcoholic hepatitis in JOURNAL OF TRANSLATIONAL MEDICINE
  • 2012-11. Comparison of protein, microRNA, and mRNA yields using different methods of urinary exosome isolation for the discovery of kidney disease biomarkers in KIDNEY INTERNATIONAL
  • 2018-12. Exosomes derived from HIV-1-infected cells promote growth and progression of cancer via HIV TAR RNA in NATURE COMMUNICATIONS
  • 2016-09. The potential of endurance exercise-derived exosomes to treat metabolic diseases in NATURE REVIEWS ENDOCRINOLOGY
  • 2016-07. ExtraPEG: A Polyethylene Glycol-Based Method for Enrichment of Extracellular Vesicles in SCIENTIFIC REPORTS
  • 2015-05. A Simplified Method to Recover Urinary Vesicles for Clinical Applications, and Sample Banking in SCIENTIFIC REPORTS
  • 2018-12. Whole-exome sequencing of cell-free DNA and circulating tumor cells in multiple myeloma in NATURE COMMUNICATIONS
  • 2016-01. Progestin and breast cancer risk: a systematic review in BREAST CANCER RESEARCH AND TREATMENT
  • 2015-07. Analysis of exosome purification methods using a model liposome system and tunable-resistive pulse sensing in SCIENTIFIC REPORTS
  • 2013-05. Extracellular vesicles: biology and emerging therapeutic opportunities in NATURE REVIEWS DRUG DISCOVERY
  • 2013-08. Extracellular vesicles as an emerging mechanism of cell-to-cell communication in ENDOCRINE
  • 2015-10. Circulating biomarkers for gliomas in NATURE REVIEWS NEUROLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s12967-019-1825-3

    DOI

    http://dx.doi.org/10.1186/s12967-019-1825-3

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112760797

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30871557


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