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Cerebrospinal Fluid MicroRNA Profiling Using Quantitative Real Time PCR
Published on: January 22, 2014
Harnessing the Power of MicroRNA Cargoes in Small Extracellular Vesicles Released from Fresh-Frozen Human Brain
Joseph Morgan1, Toby Aarons1, Gemma Lace2
1Translational Medicine Laboratory, Biomedical Research and Innovation Centre, University of Salford.
Abstract:
Small extracellular vesicles (sEVs) are crucial mediators of cell-cell communication, transporting diverse cargoes like proteins, lipids, and nucleic acids (microRNA, mRNA, DNA). The microRNA sEV cargo has potential utility as a powerful non-invasive disease biomarker due to sEV's ability to traverse biological barriers (e.g., blood-brain barrier) and become accessible through various body fluids. Despite numerous studies on sEV biomarkers in body fluids, identifying tissue or cell-specific sEV subpopulations remains challenging, particularly from the brain. Our study addresses this challenge by adapting existing methods to isolate sEVs from minimal amounts of frozen human brain sections using size exclusion chromatography (SEC). After ethical approval, approximately 250 µg of fresh-frozen human brain tissue (obtained from Manchester Brain Bank [UK]) was sliced from the 3 donor tissues and incubated in collagenase type 3/Hibernate-E solution, with intermediate agitation, followed by serial centrifugation and filtration steps. Then, sEVs were isolated using the SEC method and characterized by following MISEV guidelines. Before isolating RNA from within these sEVs, the solution was treated with Proteinase-K and RNase-A to remove any non-sEV extracellular RNA. The RNA quantity and quality were checked and processed further for qPCR and small RNA sequencing experiments. The presence of sEVs was confirmed through fluorescence nanoparticle tracking analysis (fNTA) and western blot for surface markers (CD9, CD63, CD81). Size distribution (50-200 nm) was confirmed by NTA and electron microscopy. The total RNA concentration within lysed sEVs ranged from 3-9 ng/µL and was used for successful quantification by qPCR for selected candidate microRNAs. Small RNA sequencing on MiSeq provided high-quality data (Q >32) with 1.4-5 million reads per sample. This method enables efficient isolation and characterization of sEVs from minimal brain tissue volumes, facilitating non-invasive biomarker research and holds promise for equitable disease biomarker studies, offering insights into neurodegenerative diseases and potentially other disorders.
Insights
Researchers developed a new method to isolate small extracellular vesicles (sEVs) from minimal brain tissue. This advance enables non-invasive biomarker discovery for neurological diseases.
Area of Science:
- Neuroscience
- Biochemistry
- Molecular Biology
Background:
- Small extracellular vesicles (sEVs) are key in cell-cell communication, carrying biomarkers like microRNA.
- sEV microRNAs show promise as non-invasive disease biomarkers, but isolating brain-specific sEVs is difficult.
Purpose of the Study:
- To develop a method for isolating and characterizing small extracellular vesicles (sEVs) from minimal amounts of human brain tissue.
- To enable non-invasive biomarker research for neurological disorders.
Main Methods:
- Adapted size exclusion chromatography (SEC) to isolate sEVs from approximately 250 µg of frozen human brain tissue.
- Characterized sEVs using nanoparticle tracking analysis (NTA), electron microscopy, and western blot for surface markers (CD9, CD63, CD81).
- Isolated RNA from sEVs, treated to remove non-vesicular RNA, and analyzed using qPCR and small RNA sequencing.
Main Results:
- Successfully isolated and characterized sEVs from minimal brain tissue volumes, meeting MISEV guidelines.
- Confirmed sEV presence, size (50-200 nm), and surface markers.
- Obtained high-quality RNA (3-9 ng/µL) suitable for qPCR and sequencing, yielding 1.4-5 million reads per sample.
Conclusions:
- The developed SEC-based method efficiently isolates and characterizes brain sEVs from small tissue samples.
- This technique facilitates non-invasive biomarker research, particularly for neurodegenerative diseases.
- Holds potential for equitable biomarker studies and understanding various disorders.
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