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Isolation of membrane vesicles from prokaryotes: a technical and biological comparison reveals heterogeneity
Prokaryotes release membrane vesicles (MVs) with direct roles in disease pathogenesis. MVs are heterogeneous when isolated from bacterial cultures so Density Gradient Centrifugation (DGC) is valuable for separation of MV subgroups from contaminating material. Here we report the technical variability...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5505020/ https://www.ncbi.nlm.nih.gov/pubmed/28717421 http://dx.doi.org/10.1080/20013078.2017.1324731 |
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author | Dauros Singorenko, Priscila Chang, Vanessa Whitcombe, Alana Simonov, Denis Hong, Jiwon Phillips, Anthony Swift, Simon Blenkiron, Cherie |
author_facet | Dauros Singorenko, Priscila Chang, Vanessa Whitcombe, Alana Simonov, Denis Hong, Jiwon Phillips, Anthony Swift, Simon Blenkiron, Cherie |
author_sort | Dauros Singorenko, Priscila |
collection | PubMed |
description | Prokaryotes release membrane vesicles (MVs) with direct roles in disease pathogenesis. MVs are heterogeneous when isolated from bacterial cultures so Density Gradient Centrifugation (DGC) is valuable for separation of MV subgroups from contaminating material. Here we report the technical variability and natural biological heterogeneity seen between DGC preparations of MVs for Mycobacterium smegmatis and Escherichia coli and compare these DGC data with size exclusion chromatography (SEC) columns. Crude preparations of MVs, isolated from cultures by ultrafiltration and ultracentrifugation were separated by DGC with fractions manually collected as guided by visible bands. Yields of protein, RNA and endotoxin, protein banding and particle counts were analysed in these. DGC and SEC methods enabled separation of molecularly distinct MV populations from crude MVs. DGC banding profiles were unique for each of the two species of bacteria tested and further altered by changing culture conditions, for example with iron supplementation. SEC is time efficient, reproducible and cost effective method that may also allow partial LPS removal from Gram-negative bacterial MVs. In summary, both DGC and SEC are suitable for the separation of mixed populations of MVs and we advise trials of both, coupled with complete molecular and single vesicle characterisation prior to downstream experimentation. |
format | Online Article Text |
id | pubmed-5505020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-55050202017-07-17 Isolation of membrane vesicles from prokaryotes: a technical and biological comparison reveals heterogeneity Dauros Singorenko, Priscila Chang, Vanessa Whitcombe, Alana Simonov, Denis Hong, Jiwon Phillips, Anthony Swift, Simon Blenkiron, Cherie J Extracell Vesicles Research Article Prokaryotes release membrane vesicles (MVs) with direct roles in disease pathogenesis. MVs are heterogeneous when isolated from bacterial cultures so Density Gradient Centrifugation (DGC) is valuable for separation of MV subgroups from contaminating material. Here we report the technical variability and natural biological heterogeneity seen between DGC preparations of MVs for Mycobacterium smegmatis and Escherichia coli and compare these DGC data with size exclusion chromatography (SEC) columns. Crude preparations of MVs, isolated from cultures by ultrafiltration and ultracentrifugation were separated by DGC with fractions manually collected as guided by visible bands. Yields of protein, RNA and endotoxin, protein banding and particle counts were analysed in these. DGC and SEC methods enabled separation of molecularly distinct MV populations from crude MVs. DGC banding profiles were unique for each of the two species of bacteria tested and further altered by changing culture conditions, for example with iron supplementation. SEC is time efficient, reproducible and cost effective method that may also allow partial LPS removal from Gram-negative bacterial MVs. In summary, both DGC and SEC are suitable for the separation of mixed populations of MVs and we advise trials of both, coupled with complete molecular and single vesicle characterisation prior to downstream experimentation. Taylor & Francis 2017-06-06 /pmc/articles/PMC5505020/ /pubmed/28717421 http://dx.doi.org/10.1080/20013078.2017.1324731 Text en © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Dauros Singorenko, Priscila Chang, Vanessa Whitcombe, Alana Simonov, Denis Hong, Jiwon Phillips, Anthony Swift, Simon Blenkiron, Cherie Isolation of membrane vesicles from prokaryotes: a technical and biological comparison reveals heterogeneity |
title | Isolation of membrane vesicles from prokaryotes: a technical and biological comparison reveals heterogeneity |
title_full | Isolation of membrane vesicles from prokaryotes: a technical and biological comparison reveals heterogeneity |
title_fullStr | Isolation of membrane vesicles from prokaryotes: a technical and biological comparison reveals heterogeneity |
title_full_unstemmed | Isolation of membrane vesicles from prokaryotes: a technical and biological comparison reveals heterogeneity |
title_short | Isolation of membrane vesicles from prokaryotes: a technical and biological comparison reveals heterogeneity |
title_sort | isolation of membrane vesicles from prokaryotes: a technical and biological comparison reveals heterogeneity |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5505020/ https://www.ncbi.nlm.nih.gov/pubmed/28717421 http://dx.doi.org/10.1080/20013078.2017.1324731 |
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