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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.
Afiliação
  • Banijamali M; Royal Institute of Technology (KTH), School of Engineering Sciences in Chemistry, Biotechnology and Health, Department of Gene Technology, Science for Life Laboratory, Solna, Sweden.
  • Höjer P; Royal Institute of Technology (KTH), School of Engineering Sciences in Chemistry, Biotechnology and Health, Department of Gene Technology, Science for Life Laboratory, Solna, Sweden.
  • Nagy A; Royal Institute of Technology (KTH), School of Engineering Sciences in Chemistry, Biotechnology and Health, Department of Protein Science, AlbaNova University Center, Stockholm, Sweden.
  • Hååg P; Department of Oncology-Pathology, Karolinska Institutet, Solna, Sweden.
  • Gomero EP; Royal Institute of Technology (KTH), School of Engineering Sciences in Chemistry, Biotechnology and Health, Department of Protein Science, AlbaNova University Center, Stockholm, Sweden.
  • Stiller C; Royal Institute of Technology (KTH), School of Engineering Sciences in Chemistry, Biotechnology and Health, Department of Protein Science, AlbaNova University Center, Stockholm, Sweden.
  • Kaminskyy VO; Department of Oncology-Pathology, Karolinska Institutet, Solna, Sweden.
  • Ekman S; Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.
  • Lewensohn R; Department of Oncology-Pathology, Karolinska Institutet, Solna, Sweden.
  • Karlström AE; Theme Cancer, Medical Unit head and Neck, Lung, and Skin Tumors, Thoracic Oncology Center, Karolinska University Hospital, Solna, Sweden.
  • Viktorsson K; Department of Oncology-Pathology, Karolinska Institutet, Solna, Sweden.
  • Ahmadian A; Theme Cancer, Medical Unit head and Neck, Lung, and Skin Tumors, Thoracic Oncology Center, Karolinska University Hospital, Solna, Sweden.
J Extracell Vesicles ; 11(11): e12277, 2022 11.
Article em En | MEDLINE | ID: mdl-36329610
ABSTRACT
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vesículas Extracelulares Limite: Humans Idioma: En Revista: J Extracell Vesicles Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Suécia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vesículas Extracelulares Limite: Humans Idioma: En Revista: J Extracell Vesicles Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Suécia