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Updated: Jan 31, 2026

Isolation of microRNAs from Tick Ex Vivo Salivary Gland Cultures and Extracellular Vesicles
Published on: April 6, 2022
Precipitation-based extracellular vesicle isolation from rat plasma co-precipitate vesicle-free microRNAs
Jenni Karttunen1, Mette Heiskanen1, Vicente Navarro-Ferrandis1
1A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland.
Abstract:
The microRNA (miRNA) cargo contained in plasma extracellular vesicles (EVs) offers a relatively little explored source of biomarkers for brain diseases that can be obtained noninvasively. Methods to isolate EVs from plasma, however, are still being developed. For EV isolation, it is important to ensure the removal of vesicle-free miRNAs, which account for approximately two-thirds of plasma miRNAs. Membrane particle precipitation-based EV isolation is an appealing method because of the simple protocol and high yield. Here, we evaluated the performance of a precipitation-based method to obtain enriched EV-specific miRNAs from a small volume of rat plasma. We performed size-exclusion chromatography (SEC) on precipitation-isolated EV pellets and whole plasma. The SEC fractions were analysed using Nanoparticle Tracking Analysis (NTA), protein and miRNA concentration assays, and droplet digital polymerase chain reaction for four miRNAs (miR-142-3p, miR-124-3p, miR-23a, miR-122). Precipitation-isolated EVs and selected SEC fractions from the plasma were also analysed with transmission electron microscopy (TEM). Precipitation-based EV isolation co-precipitated 9% to 15% of plasma proteins and 21% to 99% of vesicle-free miRNAs, depending on the individual miRNAs. In addition, the amount of miR-142-3p, found mainly in EV fractions, was decreased in the EV fractions, indicating that part of it was lost during precipitation-based isolation. Western blot and TEM revealed both protein and lipoprotein contamination in the precipitation-isolated EV-pellets. Our findings indicate that a precipitation-based method is not sufficient for purifying plasma EV-contained miRNA cargo. The particle number measured by NTA is high, but this is mostly due to the contaminating lipoproteins. Although a part of the vesicle-free miRNA is removed, vesicle-free miRNA still dominates in plasma EV pellets isolated by the precipitation-based method.
Insights
Plasma extracellular vesicle (EV) isolation using precipitation methods is insufficient for purifying miRNA biomarkers. This method co-precipitates proteins and vesicle-free miRNAs, impacting biomarker accuracy for brain diseases.
Area of Science:
- Biochemistry
- Molecular Biology
- Neuroscience
Background:
- Plasma extracellular vesicles (EVs) contain microRNAs (miRNAs) that are potential noninvasive biomarkers for brain diseases.
- Current methods for isolating EVs from plasma are still under development.
- Efficient removal of vesicle-free miRNAs is crucial for accurate EV-based biomarker analysis.
Purpose of the Study:
- To evaluate the efficacy of a precipitation-based method for isolating EV-specific miRNAs from rat plasma.
- To assess the purity of miRNA cargo obtained using precipitation-based EV isolation.
- To identify contaminants and losses associated with this isolation technique.
Main Methods:
- EVs were isolated from rat plasma using a membrane particle precipitation method.
- Size-exclusion chromatography (SEC) was performed on isolated EV pellets and whole plasma.
- Analysis included Nanoparticle Tracking Analysis (NTA), protein and miRNA assays, droplet digital PCR, Western blot, and transmission electron microscopy (TEM).
Main Results:
- Precipitation co-precipitated 9-15% of plasma proteins and 21-99% of vesicle-free miRNAs.
- Significant contamination by proteins and lipoproteins was observed in EV pellets.
- Vesicle-free miRNAs still dominated the isolated EV pellets, and EV-specific miRNAs were lost during isolation.
Conclusions:
- Precipitation-based EV isolation is not sufficient for purifying plasma EV miRNA cargo.
- The high particle count observed by NTA was mainly due to lipoprotein contamination.
- This method compromises the accuracy of miRNA biomarkers derived from plasma EVs.
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