Characterizing extracellular vesicles from cerebrospinal fluid by a novel size exclusion chromatography method. (31st December 2021)
- Record Type:
- Journal Article
- Title:
- Characterizing extracellular vesicles from cerebrospinal fluid by a novel size exclusion chromatography method. (31st December 2021)
- Main Title:
- Characterizing extracellular vesicles from cerebrospinal fluid by a novel size exclusion chromatography method
- Authors:
- Hirschberg, Yael
Schildermans, Karin
van Dam, Annemieke
Sterck, Karen
Boonen, Kurt
Nelissen, Inge
Vermeiren, Yannick
Mertens, Inge - Abstract:
- Abstract: Background: Extracellular vesicles (EVs) have recently been considered as a potential biomarker source for a variety of diseases, including neurodegenerative disorders. EVs are important mediators of intercellular communication due to their capacity to transfer genetic material, lipids and proteins. By means of their communication role, interesting biomarkers are often enriched in EVs compared to total biofluid. In order to isolate EVs from a biofluid, like cerebrospinal fluid (CSF), a variety of isolation methods are available of which each methods shows different results, and, to date, there is no golden standard. Our study evaluates the use of size exclusion chromatography (SEC) by the SmartSEC HT kit for EV isolation from CSF. Method: EVs were obtained from 500µL CSF samples, isolated by SmartSEC HT. SmartSEC traps contaminants, like bulk proteins, into the resin beads and subsequently elutes EVs. To evaluate this isolation method, various characterisation analyses were run. To detect cargo or surface proteïns, analyses on the ExoView R100, Surface Plasmon Resonance imaging (SPRi) and LC‐MS based proteomics analysis were performed. Concentration, and size of the vesicles were evaluated by use of transmission electron microscopy (TEM), and fluorescence nanotracking analysis (Zetaview). Result: By means of the ExoView, tetraspanins such as CD81 and CD9 were measured on the surface of the EVs. Other EV‐specific proteins, e.g. lactadherin, flotillin‐1, and HSP70,Abstract: Background: Extracellular vesicles (EVs) have recently been considered as a potential biomarker source for a variety of diseases, including neurodegenerative disorders. EVs are important mediators of intercellular communication due to their capacity to transfer genetic material, lipids and proteins. By means of their communication role, interesting biomarkers are often enriched in EVs compared to total biofluid. In order to isolate EVs from a biofluid, like cerebrospinal fluid (CSF), a variety of isolation methods are available of which each methods shows different results, and, to date, there is no golden standard. Our study evaluates the use of size exclusion chromatography (SEC) by the SmartSEC HT kit for EV isolation from CSF. Method: EVs were obtained from 500µL CSF samples, isolated by SmartSEC HT. SmartSEC traps contaminants, like bulk proteins, into the resin beads and subsequently elutes EVs. To evaluate this isolation method, various characterisation analyses were run. To detect cargo or surface proteïns, analyses on the ExoView R100, Surface Plasmon Resonance imaging (SPRi) and LC‐MS based proteomics analysis were performed. Concentration, and size of the vesicles were evaluated by use of transmission electron microscopy (TEM), and fluorescence nanotracking analysis (Zetaview). Result: By means of the ExoView, tetraspanins such as CD81 and CD9 were measured on the surface of the EVs. Other EV‐specific proteins, e.g. lactadherin, flotillin‐1, and HSP70, were detected by SPRI. Untargeted protein analysis revealed the cargo proteins. TEM images visualized the presence of EVs. Particle size and concentration was calculated by nanotracking analysis, and more specifically the particles with a lipid membrane, like EVs, with fluorescence nanotracking analysis. Conclusion: As EVs hold a lot of promise in the biomarker field, a standard high‐performance isolation method ‐ regarding purity and yield – is essential. From our data, SmartSEC HT is suggested to be an efficient size exclusion chromatography EV isolation method for low volume CSF samples, especially for high throughput, since samples are loaded on a 96‐well plate. … (more)
- Is Part Of:
- Alzheimer's & dementia. Volume 17(2021)Supplement 5
- Journal:
- Alzheimer's & dementia
- Issue:
- Volume 17(2021)Supplement 5
- Issue Display:
- Volume 17, Issue 5 (2021)
- Year:
- 2021
- Volume:
- 17
- Issue:
- 5
- Issue Sort Value:
- 2021-0017-0005-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2021-12-31
- Subjects:
- Alzheimer's disease -- Periodicals
Alzheimer Disease -- Periodicals
Dementia -- Periodicals
Démence
Maladie d'Alzheimer
Périodique électronique (Descripteur de forme)
Ressource Internet (Descripteur de forme)
616.83 - Journal URLs:
- http://www.sciencedirect.com/science/journal/15525260 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1002/alz.051264 ↗
- Languages:
- English
- ISSNs:
- 1552-5260
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0806.255333
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