Protocol for isolation of microbiota-derived membrane vesicles from mouse blood and colon
Bacterial membrane vesicles have emerged as gadgets allowing remote communication between the microbiota and distal host organs. Here we describe a protocol for enriching vesicles from serum and colon that could widely be adapted for other tissues. We detail pre-clearing of serum or colon fluids usi...
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Veröffentlicht in: | STAR protocols 2023-03, Vol.4 (1), p.102046-102046, Article 102046 |
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Sprache: | eng |
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Zusammenfassung: | Bacterial membrane vesicles have emerged as gadgets allowing remote communication between the microbiota and distal host organs. Here we describe a protocol for enriching vesicles from serum and colon that could widely be adapted for other tissues. We detail pre-clearing of serum or colon fluids using 0.2-μm syringe filters and their concentration by centrifugal filter devices. We also describe vesicle isolation with qEV size exclusion columns and finally the concentration of isolated vesicle fractions for downstream analyses.
For complete details on the use and execution of this protocol, please refer to Erttmann et al. (2022).1
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•Collection of mouse serum and colon samples•Concentration of samples using centrifugal filter devices•Isolation of membrane vesicles using size exclusion columns•Concentration of isolated vesicle fractions using spin columns
Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
Bacterial membrane vesicles have emerged as gadgets allowing remote communication between the microbiota and distal host organs. Here we describe a protocol for enriching vesicles from serum and colon that could widely be adapted for other tissues. We detail pre-clearing of serum or colon fluids using 0.2-μm syringe filters and their concentration by centrifugal filter devices. We also describe vesicle isolation with qEV size exclusion columns and finally the concentration of isolated vesicle fractions for downstream analyses. |
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ISSN: | 2666-1667 2666-1667 |
DOI: | 10.1016/j.xpro.2023.102046 |