GLORIA

GEOMAR Library Ocean Research Information Access

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    In: Journal of Extracellular Vesicles, Wiley, Vol. 11, No. 2 ( 2022-02)
    Abstract: Cancer cell‐derived extracellular vesicles (EVs) are promising biomarkers for cancer diagnosis and prognosis. However, the lack of rapid and sensitive isolation techniques to obtain EVs from clinical samples at a sufficiently high yield limits their practicability. Chimeric nanocomposites of lactoferrin conjugated 2,2‐ bis (methylol)propionic acid dendrimer‐modified magnetic nanoparticles (LF‐ bis ‐MPA‐MNPs) are fabricated and used for simple and sensitive EV isolation from various biological samples via a combination of electrostatic interaction, physically absorption, and biorecognition between the surfaces of the EVs and the LF‐ bis ‐MPA‐MNPs. The speed, efficiency, recovery rate, and purity of EV isolation by the LF‐ bis ‐MPA‐MNPs are superior to those obtained by using established methods. The relative expressions of exosomal microRNAs (miRNAs) from isolated EVs in cancerous cell‐derived exosomes are verified as significantly higher than those from noncancerous ones. Finally, the chimeric nanocomposites are used to assess urinary exosomal miRNAs from urine specimens from 20 prostate cancer (PCa), 10 benign prostatic hyperplasia (BPH), patients and 10 healthy controls. Significant up‐regulation of miR‐21 and miR‐346 and down‐regulation of miR‐23a and miR‐122‐5p occurs in both groups compared to healthy controls. LF‐ bis ‐MPA‐MNPs provide a rapid, simple, and high yield method for human excreta analysis in clinical applications.
    Type of Medium: Online Resource
    ISSN: 2001-3078 , 2001-3078
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2683797-3
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...