👤 Ekaterina A Evtushenko

Ultracentrifugation (UC) has long been considered the "gold standard" for extracellular vesicle (EV) isolation. However, due to its drawbacks such as high cost of an ultracentrifuge and rotors, time-consuming and labor-intensive protocol, low yield considering initial biofluid volume and low throughput, development of new EV isolation approaches is still ongoing. Here we compare three methods for isolating the most studied EV subtype, small extracellular vesicles (sEVs), from human plasma: ultracentrifugation (UC), express asymmetric depth filtration (ExADFi), and anti-CD9 immunoaffinity capture (AS-CD9) with focus on their Raman and proteomic profiles. For all three methods, purity and quality of the sEV isolation were assessed based on the level of contamination of the sEV fraction with major plasma proteins such as albumin and apolipoproteins (APOA1, APOH, APOA4, APOC2, APOC1, and APOC4). UC showed the highest ratio of protein to nanoparticle concentration. AS-CD9 and ExADFi provided comparable to UC purity and levels of non-vesicular contaminants with AS-CD9 requiring minimal time and labor. ExADFi showed characteristics including purity of the sEV samples, yield, and isolation time that is between the UC and AS-CD9 methods. Raman spectroscopy provided more details about characteristics of the isolated sEVs and confirmed differences observed in the proteomic profiles. The findings demonstrate that the AS-CD9 and ExADFi methods could be appropriate substitutes of the classical UC-based isolation method and be chosen depending on the final requirements and use of the purified sEVs such as further functional and biomarker studies. Show less

Hybridization with cDNA arrays was used to obtain expression profiles of 263 protein-tyrosine kinase (PTK), protein-tyrosine phosphatase (PTP), dual-specific phosphatase (DuSP), and other genes for the normal prostate tissue, primary prostate carcinomas (PC) of 84 patients, 7 xenografts, and 5 carcinoma cell lines. Analysis of 96 profiles revealed eight clusters of genes coexpressed in PC (coefficient of correlation r > 0.7). According to the known functions of their genes, the clusters were designated as proliferating-cell (CDC42, TOP2A, FGFR3, MYC, etc.), neoangiogenesis and blood-cell (LCK, VAV1, KDR, VEGF, MMP9, SYK, PTPRS, and FLT4), invasion-1 and invasion-2 (ADAM17, TRPM2, DUSP6, VIM, CAV1, CAV2, JAK1, PTPNS1, FYN, and PDGFB), HER2, and PSA/PSM/HER3. Basing on expression profiles of 66 genes, a molecular classification of PC was constructed and allowed discrimination between PC and cell lines or xenografts at 98.9% probability. The results suggested that, along with PSA, PSM (FOLH1), kallikrein-2, and a-2-macroglobulin, cell signaling genes EGFR, HER2, HER3, TOP2, KRT8, KRT18, VEGF, CD44, VIM, CAV1, and CAV2 may serve as diagnostic and prognostic markers in PC. The HER2, VEGF, and CD44 genes and the MMP and ADAM families were assumed to be promising targets for inhibitors of PC cell proliferation and metastasis. Show less