Blood collection tube and RNA purification method recommendations for extracellular RNA transcriptome profiling

Jasper Anckaert(Cancer Research Institute Ghent), Francisco Avila Cobos(Ghent University Hospital), Anneleen Decock(Cancer Research Institute Ghent), Philippe Decruyenaere(Ghent University), Jill Deleu(Cancer Research Institute Ghent), Katleen De Preter(Ghent University), Olivier De Wever(Cancer Research Institute Ghent), Jilke De Wilde(Ghent University), Bert Dhondt(Cancer Research Institute Ghent), Thibaut D’huyvetter, Celine Everaert(Cancer Research Institute Ghent), Carolina Bustos Fierro, Hetty Helsmoortel(Ghent University), An Hendrix(Ghent University), Eva Hulstaert(Ghent University), Jan Köster(Amsterdam University Medical Centers), Scott Kuersten(Illumina (United States)), Tim R. Mercer(Garvan Institute of Medical Research), Pieter Mestdagh(Ghent University), Annelien Morlion(Ghent University), Nele Nijs, Justine Nuytens(Cancer Research Institute Ghent), Annouck Philippron(Cancer Research Institute Ghent), Thomas Piofczyk, Franco Poma-Soto(Cancer Research Institute Ghent), Kathleen Schoofs(Cancer Research Institute Ghent), Gary P. Schroth(Illumina (United States)), Olivier Thas(University of Wollongong), Eveline Vanden Eynde(Cancer Research Institute Ghent), Jo Vandesompele(Ghent University), Tom Van Maerken(Cancer Research Institute Ghent), Ruben Van Paemel(Ghent University Hospital), Kimberly Verniers(Ghent University), Jasper Verwilt(Ghent University), Nurten Yigit(Cancer Research Institute Ghent)
Nature Communications
May 15, 2025
Cited by 16Open Access
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Abstract

Blood-based extracellular RNA (cell-free RNA; exRNA) biomarkers require validated sample collection, processing, and quantification procedures. No study to date has systematically tested pre-analytical variables affecting transcriptome-wide exRNA analysis. By evaluating their impact on deep transcriptome profiling of microRNAs and mRNAs in blood plasma or serum, we compared ten blood collection tubes, three blood processing time intervals, and eight RNA purification methods. In addition, we assessed interactions among a selected pre-analytical variable set, resulting in 456 extracellular transcriptomes. Blood preservation tubes failed to stabilize exRNA and RNA purification methods differed significantly in performance, causing variations in concentration, detected gene numbers, replicability and observed transcriptome complexity. Critical interactions between tubes, purification methods and time intervals were identified. We provide 11 analytical performance metrics for exRNA quantification methods and put forward recommendations for both users and manufacturers of RNA purification methods and blood collection tubes, collectively, essential groundwork for exRNA-based precision medicine applications. Here the authors provide a comprehensive evaluation of important pre-analytical variables affecting extracellular RNA quantification and analysis in the exRNAQC study, examining eight RNA purification methods, ten blood collection tubes, and three time intervals for blood processing.


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