Benchmarking blood collection tubes and processing intervals for extracellular vesicle performance metrics

被引:23
作者
Dhondt, Bert [1 ,2 ,3 ]
Pinheiro, Claudio [1 ,2 ]
Geeurickx, Edward [1 ,2 ]
Tulkens, Joeri [1 ,2 ]
Vergauwen, Glenn [1 ,2 ]
van der Pol, Edwin [4 ,5 ,6 ]
Nieuwland, Rienk [4 ]
Decock, Anneleen [2 ,7 ]
Miinalainen, Ilkka [8 ]
Rappu, Pekka [9 ]
Schroth, Gary [10 ]
Kuersten, Scott [10 ]
Vandesompele, Jo [2 ,7 ]
Mestdagh, Pieter [2 ,7 ]
Lumen, Nicolaas [2 ,3 ]
De Wever, Olivier [1 ,2 ]
Hendrix, An [1 ,2 ]
机构
[1] Univ Ghent, Dept Human Struct & Repair, Lab Expt Canc Res, Ghent, Belgium
[2] Canc Res Inst Ghent, Ghent, Belgium
[3] Ghent Univ Hosp, Dept Urol, Ghent, Belgium
[4] Univ Amsterdam, Lab Expt Clin Chem, Amsterdam UCM, Locat AMC, Amsterdam, Netherlands
[5] Univ Amsterdam, Vesicle Observat Ctr, Amsterdam UCM, Locat AMC, Amsterdam, Netherlands
[6] Univ Amsterdam, Acad Med Ctr, Dept Biomed Engn & Phys, Amsterdam, Netherlands
[7] Ghent Univ Hosp, Dept Biomol Med, OncoRNALab, Ghent, Belgium
[8] Univ Oulu, Oulu Univ Hosp, Dept Pathol, Bioctr Oulu, Oulu, Finland
[9] Univ Turku, Dept Biochem, Turku, Finland
[10] Illumina Inc, San Diego, CA USA
关键词
anticoagulants; biomarkers; cancer; exosomes; extracellular vesicles; plasma; preservatives; proteomics; RNA sequencing; serum; PREANALYTICAL PARAMETERS; PLATELET MICROPARTICLES; PLASMA; ANTICOAGULANT; PROTEOME; STANDARDIZATION; IDENTIFICATION; VISUALIZATION; MICROVESICLES; KNOWLEDGE;
D O I
10.1002/jev2.12315
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
The analysis of extracellular vesicles (EV) in blood samples is under intense investigation and holds the potential to deliver clinically meaningful biomarkers for health and disease. Technical variation must be minimized to confidently assess EV-associated biomarkers, but the impact of pre-analytics on EV characteristics in blood samples remains minimally explored. We present the results from the first large-scale EV Blood Benchmarking (EVBB) study in which we systematically compared 11 blood collection tubes (BCT; six preservation and five non-preservation) and three blood processing intervals (BPI; 1, 8 and 72 h) on defined performance metrics (n = 9). The EVBB study identifies a significant impact of multiple BCT and BPI on a diverse set of metrics reflecting blood sample quality, ex-vivo generation of blood-cell derived EV, EV recovery and EV-associated molecular signatures. The results assist the informed selection of the optimal BCT and BPI for EV analysis. The proposed metrics serve as a framework to guide future research on pre-analytics and further support methodological standardization of EV studies.
引用
收藏
页数:28
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