Proteomics analysis of serum small extracellular vesicles for the longitudinal study of a glioblastoma multiforme mouse model

Abstract Longitudinal analysis of disease models enables the molecular changes due to disease progression or therapeutic intervention to be better resolved. Approximately 75 µl of serum can be drawn from a mouse every 14 days. To date no methods have been reported that are able to analyze the proteo...

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Autores principales: Federica Anastasi, Francesco Greco, Marialaura Dilillo, Eleonora Vannini, Valentina Cappello, Laura Baroncelli, Mario Costa, Mauro Gemmi, Matteo Caleo, Liam A. McDonnell
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Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/ce1a6757329b4d20a2270c703db00157
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spelling oai:doaj.org-article:ce1a6757329b4d20a2270c703db001572021-12-02T11:40:49ZProteomics analysis of serum small extracellular vesicles for the longitudinal study of a glioblastoma multiforme mouse model10.1038/s41598-020-77535-82045-2322https://doaj.org/article/ce1a6757329b4d20a2270c703db001572020-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-77535-8https://doaj.org/toc/2045-2322Abstract Longitudinal analysis of disease models enables the molecular changes due to disease progression or therapeutic intervention to be better resolved. Approximately 75 µl of serum can be drawn from a mouse every 14 days. To date no methods have been reported that are able to analyze the proteome of small extracellular vesicles (sEV’s) from such low serum volumes. Here we report a method for the proteomics analysis of sEV's from 50 µl of serum. Two sEV isolation procedures were first compared; precipitation based purification (PPT) and size exclusion chromatography (SEC). The methodological comparison confirmed that SEC led to purer sEV’s both in terms of size and identified proteins. The procedure was then scaled down and the proteolytic digestion further optimized. The method was then applied to a longitudinal study of serum-sEV proteome changes in a glioblastoma multiforme (GBM) mouse model. Serum was collected at multiple time points, sEV’s isolated and their proteins analyzed. The protocol enabled 274 protein groups to be identified and quantified. The longitudinal analysis revealed 25 deregulated proteins in GBM serum sEV's including proteins previously shown to be associated with GBM progression and metastasis (Myh9, Tln-1, Angpt1, Thbs1).Federica AnastasiFrancesco GrecoMarialaura DililloEleonora VanniniValentina CappelloLaura BaroncelliMario CostaMauro GemmiMatteo CaleoLiam A. McDonnellNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-11 (2020)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Federica Anastasi
Francesco Greco
Marialaura Dilillo
Eleonora Vannini
Valentina Cappello
Laura Baroncelli
Mario Costa
Mauro Gemmi
Matteo Caleo
Liam A. McDonnell
Proteomics analysis of serum small extracellular vesicles for the longitudinal study of a glioblastoma multiforme mouse model
description Abstract Longitudinal analysis of disease models enables the molecular changes due to disease progression or therapeutic intervention to be better resolved. Approximately 75 µl of serum can be drawn from a mouse every 14 days. To date no methods have been reported that are able to analyze the proteome of small extracellular vesicles (sEV’s) from such low serum volumes. Here we report a method for the proteomics analysis of sEV's from 50 µl of serum. Two sEV isolation procedures were first compared; precipitation based purification (PPT) and size exclusion chromatography (SEC). The methodological comparison confirmed that SEC led to purer sEV’s both in terms of size and identified proteins. The procedure was then scaled down and the proteolytic digestion further optimized. The method was then applied to a longitudinal study of serum-sEV proteome changes in a glioblastoma multiforme (GBM) mouse model. Serum was collected at multiple time points, sEV’s isolated and their proteins analyzed. The protocol enabled 274 protein groups to be identified and quantified. The longitudinal analysis revealed 25 deregulated proteins in GBM serum sEV's including proteins previously shown to be associated with GBM progression and metastasis (Myh9, Tln-1, Angpt1, Thbs1).
format article
author Federica Anastasi
Francesco Greco
Marialaura Dilillo
Eleonora Vannini
Valentina Cappello
Laura Baroncelli
Mario Costa
Mauro Gemmi
Matteo Caleo
Liam A. McDonnell
author_facet Federica Anastasi
Francesco Greco
Marialaura Dilillo
Eleonora Vannini
Valentina Cappello
Laura Baroncelli
Mario Costa
Mauro Gemmi
Matteo Caleo
Liam A. McDonnell
author_sort Federica Anastasi
title Proteomics analysis of serum small extracellular vesicles for the longitudinal study of a glioblastoma multiforme mouse model
title_short Proteomics analysis of serum small extracellular vesicles for the longitudinal study of a glioblastoma multiforme mouse model
title_full Proteomics analysis of serum small extracellular vesicles for the longitudinal study of a glioblastoma multiforme mouse model
title_fullStr Proteomics analysis of serum small extracellular vesicles for the longitudinal study of a glioblastoma multiforme mouse model
title_full_unstemmed Proteomics analysis of serum small extracellular vesicles for the longitudinal study of a glioblastoma multiforme mouse model
title_sort proteomics analysis of serum small extracellular vesicles for the longitudinal study of a glioblastoma multiforme mouse model
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/ce1a6757329b4d20a2270c703db00157
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