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Here, we establish a protocol using minimal amounts of fresh-frozen brain tissue sections and an accessible high-speed centrifugation method coupled with size exclusion chromatography to obtain small extracellular vesicles as sources for microRNA (miRNA) biomarkers for neurological disorders.
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.
Extracellular vesicles (EVs) are one of the key players of inter-cellular communication in all multicellular organisms1. EVs are cell-derived lipid bilayer membrane particles that can facilitate the transfer of a variety of cargo loads, such as proteins, lipids, and nucleic acids, to recipient cells. EVs can have a broad size range ranging from 30 nm up to 1 µM. Small EVs (sEVs), defined as lipid-bound vesicles with an average diameter size of <200 nm, have the ability to cross the blood-brain barrier; therefore, they have been implicated in the prion-like spread and exacerbation of neurodegenerative diseases and other conditions such as Alzheimer's disease (AD), frontotemporal dementia (FTD), Parkinson's disease (PD) and cancers2,3. Furthermore, as sEVs can be found in a range of biofluids such as blood, cerebrospinal fluid (CSF), saliva, and even urine, their beneficial use can span the field of biomarkers and non-invasive diagnostics. For example, AD research may point to the use of biofluid pathogenic protein ratios, such as tau/Aβ, or even Aβ42/Aβ404.
One known cargo of sEVs is microRNA (miRNA), a group of small, non-coding RNA molecules of around 22 nucleotides in length that bind to the 3'-UTR regions of mRNA and usually negatively regulate protein expression. Involved in many cellular roles, miRNAs have also been implicated in the pathogenesis of various diseases, including cancers and neurodegenerative diseases. Cheng et al. conducted a high-throughput sequencing analysis of serum-derived sEV miRNA expression signatures from AD patients5. Once coupled with neuroimaging records and known risk factors of age, sex, and APOE ε4 allele presentation, results were found to predict AD with 87% sensitivity and 77% specificity. Moreover, research have identified two upregulated CSF miRNAs (miR-151a-3p, let-7f-5p) and 3 downregulated miRNAs (miR-27a-3p, miR-125a-5p and miR-423-5p) that can potentially diagnose early-stage PD6. With pathological diseases, the pathological status may precede certain characteristic symptoms of diseases, whereas in neurodegeneration, the accumulation of pathological hallmarks occurs much earlier than cognitive decline.
MicroRNAs are potentially a more effective biomarker than proteins, owing to their diverse functions, and higher-order epigenetic regulation. Using brain tissue, researchers can potentially identify specific brain-derived sEV (BDsEV) miRNA signatures for diseases and their subtypes. For example, sEVs with neuronal and glial markers can present different miRNA cargo, and the analysis can result in more precise methods of disease detection. Furthermore, BDsEVs are suggested to play a large role in the transsynaptic spread of neuropathogenic proteins7. Previous reports have suggested immunoprecipitation and density gradient (sucrose gradient) ultracentrifugation to obtain sEVs from fresh-frozen brain tissue8,9. However, these approaches require specific infrastructure with ultracentrifuge and downstream purification methods to obtain high-quality sEV samples10. More recent reports have suggested several modifications and improvements to the approach11,12,13; however, despite this, isolation and study of sEV-derived microRNA from human tissues are still not widely applied. The approach described in this protocol aims to provide a refined, step-by-step protocol for brain-derived sEV study to enhance accessibility to this technique. We established a protocol using minimal amounts of brain tissue, from which we isolated pure sEVs using size exclusion chromatography and show high-quality next-generation sequencing data from the microRNA cargo of these sEVs.
The work has been ethically approved by the Manchester Brain Bank (REC reference 09/H0906/52) and by the ethics committee at the University of Salford (Application ID: 3408).
1. Breakdown of intracellular matrix using collagenase on frozen brain tissue sections
2. Preparation of size exclusion chromatography columns
3. Isolation of small extracellular vesicles using size exclusion chromatography
4. Confirmation of small extracellular vesicle markers by western blotting
5. Confirmation of small extracellular vesicles by nanoparticle tracking analysis (NTA)
6. Confirmation of small extracellular vesicles by transmission electron microscopy (TEM)
NOTE: This protocol was performed by the Biomedical Microscopy Facility at the University of Liverpool.
7. Proteinase K and RNase A treatment
8. Total RNA isolation from small extracellular vesicles
9. Small RNA sequencing
To confirm the presence of BDsEVs, three techniques were utilized: western blotting, NTA, and TEM (Figure 3). Western blot results (Figure 3A and Supplementary File 1) show the presence of all five positive markers (CD9, CD63, CD81, Flot-1, and TSG101) and the absence of Calnexin in sEVs (used as a negative control), confirming no contamination with cellular contents. As expected, the brain homogenates (BH) show more protein than observed in the...
This modified and improved protocol for isolating brain-derived small extracellular vesicles and their microRNA cargo demonstrates the feasibility of using minimal tissue without compromising the quality and quantity of the products downstream. In the field of biomarker discovery, identifying molecular identifiers that are specific to cell and tissue types can lead to more accessible means of non-invasive diagnostic tests using body fluids. Furthermore, the approach described here provides the fr...
There are no conflicts of interest for any of the authors.
This work was funded by the PhD studentship for Joseph Morgan from Alzheimer's Society UK (Grant number 549/SERA-52) and by the Innovation Strategy funds of the University of Salford (grant SEFA-39). The brain tissue was obtained from the Manchester brain bank (REC Reference 09/H0906/52) of the Brains for Dementia Network.
Name | Company | Catalog Number | Comments |
Bovine Serum Albumin | Merck | A9418-100G | |
Cell Mask Orange Plasma Membrane Stain | ThermoFisher Scientific | C10045 | |
Collagenase Type-III | StemCell Technologies | 07422 | |
ExoSpin Columns and Buffer | Cell Guidance Systems Ltd. | EX01-50 | This kit contains SEC columns used in this experiment, precipitation buffer and EV free PBS. |
Halt Protease Inhibitor Cocktail (100x) | ThermoFisher Scientific | 78429 | |
Hibernate-E Medium | ThermoFisher Scientific | A1247601 | |
Laemmli Sample Buffer (4x) | BioRad | 1610747 | |
Lexogen Small RNA-Seq Library Prep Kit | Lexogen | 052.24 | This kit contains Small RNA preparation reagent box with i7 Index primer plate. |
miRNeasy Micro Kit (50) | Qiagen | 217084 | This kit contains high-quality RNA recovery lysis reagent (Qiazol), RNA isolation columns, isolation buffers (RWT, RPE) and RNase free water. |
MiSeq Reagent Kit v3 | Illumina | MS-102-3001 | This is the Illumina Preparation Kit |
Nitrocellulose Membrane, 0.45 μm | ThermoFisher Scientific | 88018 | |
PE/Dazzle 594 anti-human CD63 Antibody | BioLegend | 143914 | Used for fNTA Analysis |
PE/Dazzle 594 anti-human CD81 Antibody | BioLegend | 349520 | Used for fNTA Analysis |
PE/Dazzle 594 anti-human CD9 Antibody | BioLegend | 312118 | Used for fNTA Analysis |
PhosSTOP | Merck | 4906845001 | |
Pierce BCA Protein Assay Kit | ThermoFisher Scientific | 23225 | |
Proteinase K | ThermoFisher Scientific | 25530049 | |
Qubit microRNA Assay Kit | ThermoFisher Scientific | Q32880 | |
Qubit 1X dsDNA HS assay kit | ThermoFisher Scientific | Q33230 | |
Qubit 3.0 Fluorometer | ThermoFisher Scientific | Q33216 | |
RIPA Lysis and Extraction Buffer | ThermoFisher Scientific | 89901 | |
RNase A | ThermoFisher Scientific | EN0531 | |
SuperSignal West Femto Maximum Sensitivity Substrate | ThermoFisher Scientific | 34094 |
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