microRNAs profiling of small extracellular vesicles from midbrain tissue of Parkinson's disease
Quick Facts
- Publication title: microRNAs profiling of small extracellular vesicles from midbrain tissue of Parkinson's disease
- Journal: Front Mol Neurosci
- Year: 2023
- DOI: 10.3389/fnmol.2023.1090556
- PMID/PMCID: 36818649; PMC9935574
Research overview
Small extracellular vesicles (sEVs) are generated by all types of cells during physiological or pathological conditions. In summary, miRNAs may play a significant role in the onset and development of PD, and miRNAs need to be selected carefully as a research subject for exploring the pathological mechanism and the potential therapeutic targets and diagnostic markers of PD.
Key findings
Small extracellular vesicles (sEVs) are generated by all types of cells during physiological or pathological conditions.
There is growing interest in tissue-derived small extracellular vesicles (tdsEVs) because they can be isolated from a single tissue source.
Knowing the representation profile of microRNA (miRNA) in midbrain tissue-derived sEVs (bdsEVs) and their roles is imperative for understanding the pathological mechanism and improving the diagnosis and treatment of Parkinson's disease (PD).
bdsEVs from a rat model of PD and a sham group were separated and purified using ultracentrifugation, size-exclusion chromatography (SEC), and ultrafiltration.
Echo Biotech Role
Echo Biotech contributed EV isolation and purification, EV characterization, miRNA profiling/sequencing and bioinformatic analysis; the study also used or cited Exosupur®.
Related platforms: Exoomics®, Research Reagents & Tools
Related services and capabilities: Tissue EV Isolation & Purification, EV Basic Characterization (TEM/NTA/WB), EV miRNA Profiling / Sequencing, Research Reagent / Product Supply
Related products or reagents: Exosupur® EV Isolation/Purification Kit
References
Original publication: microRNAs profiling of small extracellular vesicles from midbrain tissue of Parkinson's disease Front Mol Neurosci. 2023. DOI: 10.3389/fnmol.2023.1090556. PMID/PMCID: 36818649; PMC9935574.