Extracellular vesicles (EVs) have recently come into the spotlight as potential cancer biomarkers. Isolation of pure EVs is complex, so wider use requires reliable and timeâefficient isolation methods. In the present study, galectinâbased magnetic glycan recognition particles, EXÃBead(®) were investigated for their practicality as a novel EV isolation technique, exemplified here for squamous cell carcinoma of the head and neck. Analysis of the isolation method showed a high concentration of pure EVs with detection of specific EV markers such as CD9, CD63, CD81 and TSG101. No apolipoprotein A1 was shown in the isolates, indicating low contamination of this isolation technique compared with size exclusion chromatography. In addition, common leukocyte antigen (CD45), three HNSCC [epithelial cell adhesion molecule (EpCAM), panâcytokeratin and programmed deathâligand 1 (PDâL1)] and PanEV markers (premixed CD9, CD63 and CD81 antibodies) were measured by beadâbased flow cytometry (BFC). BFC revealed that CD45(Neg) PanEV(+), EpCAM(+) PanEV(+) and PDâL1(+) PanEV(+) were significantly higher in tumor patients compared with healthy control plasma. CD45(Neg) PanEV(+) and CD45(+) PanEV(+) carrying two or three HNSCC biomarkers were also significantly higher in tumor patients compared with healthy controls (BFC). Comparison of the functional immunosuppression effect of eluted tumor patient plasma EVs from EXÃBead(®) and commercial polyethylene glycol isolation showed a significant tumorâdependent increase in concentration of EVs. A peripheral blood mononuclear cell activation assay also showed that the Tâcell functionality of tumor patient plasma EVs isolated with EXÃBead(®) was preserved in vitro. In conclusion, isolation using galectinâbased magnetic glycan recognition particles is a novel method for isolating plasma EVs with low lipoprotein contamination. Beadâbased flow cytometry provided an easy way to understand EV subpopulations. EXÃBead(®) therefore showed great potential as a new isolation tool with high throughput capacity that could potentially be used in a clinical setting.
Isolation and analysis of tumorâderived extracellular vesicles from head and neck squamous cell carcinoma plasma by galectinâbased glycan recognition particles.
利用半乳糖凝集素糖识别颗粒从头颈部鳞状细胞癌血浆中分离和分析肿瘤来源的细胞外囊泡
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作者:Benecke Laura, Chiang Dapi Menglin, Ebnoether Eliane, Pfaffl Michael W, Muller Laurent
| 期刊: | International Journal of Oncology | 影响因子: | 4.900 |
| 时间: | 2022 | 起止号: | 2022 Nov |
| doi: | 10.3892/ijo.2022.5423 | 研究方向: | 细胞生物学、肿瘤 |
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