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Usage Information

Optimizing extracellular vesicles’ isolation from chronic lymphocytic leukemia patient plasma and cell line supernatant
Sara Elgamal, Emanuele Cocucci, Ellen J. Sass, Xiaokui M. Mo, Angela R. Blissett, Edward P. Calomeni, Kerry A. Rogers, Jennifer A. Woyach, Seema A. Bhat, Natarajan Muthusamy, Amy J. Johnson, Karilyn T. Larkin, John C. Byrd
Sara Elgamal, Emanuele Cocucci, Ellen J. Sass, Xiaokui M. Mo, Angela R. Blissett, Edward P. Calomeni, Kerry A. Rogers, Jennifer A. Woyach, Seema A. Bhat, Natarajan Muthusamy, Amy J. Johnson, Karilyn T. Larkin, John C. Byrd
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Resource and Technical Advance Hematology Oncology

Optimizing extracellular vesicles’ isolation from chronic lymphocytic leukemia patient plasma and cell line supernatant

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Abstract

In chronic lymphocytic leukemia (CLL) and very likely all cancer types, extracellular vesicles (EVs) are a common mechanism by which intercellular messages are communicated between normal, diseased, and transformed cells. Studies of EVs in CLL and other cancers have great variability and often lack reproducibility. For CLL patient plasma and cell lines, we sought to characterize current approaches used in isolating EV products and understand whether cell culture–conditioned media or complex biological fluids confound results. Utilizing nanoparticle tracking analysis, protein quantification, and electron microscopy, we show that ultracentrifugation with an OptiPrep cushion can effectively minimize contaminants from starting materials including plasma and conditioned media of CLL cell lines grown in EV-depleted complete RPMI media but not grown in the serum-free media AIM V commonly used in CLL experimental work. Moreover, we confirm the benefit of including 25 mM trehalose in PBS during EV isolation steps to reduce EV aggregation, to preserve function for downstream applications and characterization. Furthermore, we report the highest particles/μg EVs were obtained from our CLL cell lines utilizing the CELLine bioreactor flask. Finally, we optimized a proliferation assay that offers a functional evaluation of our EVs with minimal sample requirements.

Authors

Sara Elgamal, Emanuele Cocucci, Ellen J. Sass, Xiaokui M. Mo, Angela R. Blissett, Edward P. Calomeni, Kerry A. Rogers, Jennifer A. Woyach, Seema A. Bhat, Natarajan Muthusamy, Amy J. Johnson, Karilyn T. Larkin, John C. Byrd

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Usage data is cumulative from December 2024 through December 2025.

Usage JCI PMC
Text version 685 204
PDF 98 22
Figure 502 0
Supplemental data 44 3
Citation downloads 85 0
Totals 1,414 229
Total Views 1,643
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

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