4.7 Article

Tetraspanins are unevenly distributed across single extracellular vesicles and bias sensitivity to multiplexed cancer biomarkers

期刊

JOURNAL OF NANOBIOTECHNOLOGY
卷 19, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s12951-021-00987-1

关键词

Exosomes; Single-particle characterization; ExoView; Ovarian cancer; Placental mesenchymal stem cells

资金

  1. American Cancer Society [RSG-19-116-01-CDD]
  2. Ovarian Cancer Education and Research Network (OCERN)
  3. NIH National Institute of Neurological Disorders and Stroke [1R01NS115860]
  4. NIH National Cancer Institute [1R01CA241666]
  5. UC Davis Comprehensive Cancer Center Support Grant (CCSG) - National Cancer Institute [NCI P30CA093373, S10 OD018223, S10 RR 026825]
  6. UC Davis Department of Pathology and Laboratory Medicine
  7. University of California Davis Flow Cytometry Shared Resource Laboratory

向作者/读者索取更多资源

The study revealed distinct patterns in tetraspanin expression of EVs from different sources, with flow cytometry measurements showing some inconsistencies. Non-specific tetraspanin capture can bias multiplexed tetraspanin profiles, impacting diagnostic sensitivity for tumor-associated EV surface markers. The findings provide insights into protein expression heterogeneity of EVs, informing better EV capture and detection platforms for diagnostic or downstream use.
Background: Tetraspanin expression of extracellular vesicles (EVs) is often used as a surrogate for their detection and classification, a practice that typically assumes their consistent expression across EV sources. Results: Here we demonstrate that there are distinct patterns in colocalization of tetraspanin expression of EVs enriched from a variety of in vitro and in vivo sources. We report an optimized method for the use of single particle antibody-capture and fluorescence detection to identify subpopulations according to tetraspanin expression and compare our findings with nanoscale flow cytometry. We found that tetraspanin profile is consistent from a given EV source regardless of isolation method, but that tetraspanin profiles are distinct across various sources. Tetraspanin profiles measured by flow cytometry do not totally agree, suggesting that limitations in subpopulation detection significantly impact apparent protein expression. We further analyzed tetraspanin expression of single EVs captured non-specifically, revealing that tetraspanin capture can bias the apparent multiplexed tetraspanin profile. Finally, we demonstrate that this bias can have significant impact on diagnostic sensitivity for tumor-associated EV surface markers. Conclusion: Our findings may reveal key insights into protein expression heterogeneity of EVs that better inform EV capture and detection platforms for diagnostic or other downstream use.

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