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Characterizing single extracellular vesicles by droplet barcode sequencing for protein analysis

Small extracellular vesicles (sEVs) have in recent years evolved as a source of biomarkers for disease diagnosis and therapeutic follow up. sEV samples derived from multicellular organisms exhibit a high heterogeneous repertoire of vesicles which current methods based on ensemble measurements cannot...

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Autores principales: Banijamali, Mahsan, Höjer, Pontus, Nagy, Abel, Hååg, Petra, Gomero, Elizabeth Paz, Stiller, Christiane, Kaminskyy, Vitaliy O., Ekman, Simon, Lewensohn, Rolf, Karlström, Amelie Eriksson, Viktorsson, Kristina, Ahmadian, Afshin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9633998/
https://www.ncbi.nlm.nih.gov/pubmed/36329610
http://dx.doi.org/10.1002/jev2.12277
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author Banijamali, Mahsan
Höjer, Pontus
Nagy, Abel
Hååg, Petra
Gomero, Elizabeth Paz
Stiller, Christiane
Kaminskyy, Vitaliy O.
Ekman, Simon
Lewensohn, Rolf
Karlström, Amelie Eriksson
Viktorsson, Kristina
Ahmadian, Afshin
author_facet Banijamali, Mahsan
Höjer, Pontus
Nagy, Abel
Hååg, Petra
Gomero, Elizabeth Paz
Stiller, Christiane
Kaminskyy, Vitaliy O.
Ekman, Simon
Lewensohn, Rolf
Karlström, Amelie Eriksson
Viktorsson, Kristina
Ahmadian, Afshin
author_sort Banijamali, Mahsan
collection PubMed
description Small extracellular vesicles (sEVs) have in recent years evolved as a source of biomarkers for disease diagnosis and therapeutic follow up. sEV samples derived from multicellular organisms exhibit a high heterogeneous repertoire of vesicles which current methods based on ensemble measurements cannot capture. In this work we present droplet barcode sequencing for protein analysis (DBS‐Pro) to profile surface proteins on individual sEVs, facilitating identification of sEV‐subtypes within and between samples. The method allows for analysis of multiple proteins through use of DNA barcoded affinity reagents and sequencing as readout. High throughput single vesicle profiling is enabled through compartmentalization of individual sEVs in emulsion droplets followed by droplet barcoding through PCR. In this proof‐of‐concept study we demonstrate that DBS‐Pro allows for analysis of single sEVs, with a mixing rate below 2%. A total of over 120,000 individual sEVs obtained from a NSCLC cell line and from malignant pleural effusion (MPE) fluid of NSCLC patients have been analyzed based on their surface proteins. We also show that the method enables single vesicle surface protein profiling and by extension characterization of sEV‐subtypes, which is essential to identify the cellular origin of vesicles in heterogenous samples.
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spelling pubmed-96339982022-11-07 Characterizing single extracellular vesicles by droplet barcode sequencing for protein analysis Banijamali, Mahsan Höjer, Pontus Nagy, Abel Hååg, Petra Gomero, Elizabeth Paz Stiller, Christiane Kaminskyy, Vitaliy O. Ekman, Simon Lewensohn, Rolf Karlström, Amelie Eriksson Viktorsson, Kristina Ahmadian, Afshin J Extracell Vesicles Technical Note Small extracellular vesicles (sEVs) have in recent years evolved as a source of biomarkers for disease diagnosis and therapeutic follow up. sEV samples derived from multicellular organisms exhibit a high heterogeneous repertoire of vesicles which current methods based on ensemble measurements cannot capture. In this work we present droplet barcode sequencing for protein analysis (DBS‐Pro) to profile surface proteins on individual sEVs, facilitating identification of sEV‐subtypes within and between samples. The method allows for analysis of multiple proteins through use of DNA barcoded affinity reagents and sequencing as readout. High throughput single vesicle profiling is enabled through compartmentalization of individual sEVs in emulsion droplets followed by droplet barcoding through PCR. In this proof‐of‐concept study we demonstrate that DBS‐Pro allows for analysis of single sEVs, with a mixing rate below 2%. A total of over 120,000 individual sEVs obtained from a NSCLC cell line and from malignant pleural effusion (MPE) fluid of NSCLC patients have been analyzed based on their surface proteins. We also show that the method enables single vesicle surface protein profiling and by extension characterization of sEV‐subtypes, which is essential to identify the cellular origin of vesicles in heterogenous samples. John Wiley and Sons Inc. 2022-11-03 2022-11 /pmc/articles/PMC9633998/ /pubmed/36329610 http://dx.doi.org/10.1002/jev2.12277 Text en © 2022 The Authors. Journal of Extracellular Vesicles published by Wiley Periodicals, LLC on behalf of the International Society for Extracellular Vesicles. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Technical Note
Banijamali, Mahsan
Höjer, Pontus
Nagy, Abel
Hååg, Petra
Gomero, Elizabeth Paz
Stiller, Christiane
Kaminskyy, Vitaliy O.
Ekman, Simon
Lewensohn, Rolf
Karlström, Amelie Eriksson
Viktorsson, Kristina
Ahmadian, Afshin
Characterizing single extracellular vesicles by droplet barcode sequencing for protein analysis
title Characterizing single extracellular vesicles by droplet barcode sequencing for protein analysis
title_full Characterizing single extracellular vesicles by droplet barcode sequencing for protein analysis
title_fullStr Characterizing single extracellular vesicles by droplet barcode sequencing for protein analysis
title_full_unstemmed Characterizing single extracellular vesicles by droplet barcode sequencing for protein analysis
title_short Characterizing single extracellular vesicles by droplet barcode sequencing for protein analysis
title_sort characterizing single extracellular vesicles by droplet barcode sequencing for protein analysis
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9633998/
https://www.ncbi.nlm.nih.gov/pubmed/36329610
http://dx.doi.org/10.1002/jev2.12277
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