Automation of RNA-based biomarker extraction from dried blood spots for the detection of blood doping.

Détails

Ressource 1Demande d'une copie Sous embargo jusqu'au 25/05/2021.
Etat: Public
Version: Author's accepted manuscript
Licence: Non spécifiée
ID Serval
serval:BIB_3A0953F50D55
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Automation of RNA-based biomarker extraction from dried blood spots for the detection of blood doping.
Périodique
Bioanalysis
Auteur(s)
Loria F., Manfredi M., Reverter-Branchat G., Segura J., Kuuranne T., Leuenberger N.
ISSN
1757-6199 (Electronic)
ISSN-L
1757-6180
Statut éditorial
Publié
Date de publication
06/2020
Peer-reviewed
Oui
Volume
12
Numéro
11
Pages
729-736
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
Aim: Transcriptomic biomarkers originating from reticulocytes measured in dried blood spots (DBSs) may be reliable indicators of blood doping. Methods/results: Here, we examined changes in the expression levels of the erythropoiesis-related ALAS2, CA1 and SLC4A1 genes in DBS samples from elite athletes and volunteers of clinical study with recombinant erythropoietin dose. Conclusion: By comparing the mean intraday coefficients of variation for ALAS2L, ALASLC, CA1 and SLC4A1 between manual and automated RNA extractions, an average improvement was observed, whereas the assessment of interday variability provided comparable results for both manual and automated approaches. Our results confirmed that RNA biomarkers on DBS support are efficient to detect blood doping.
Mots-clé
RNA extraction, automation, dried blood spot, transcriptomic biomarkers
Pubmed
Web of science
Création de la notice
18/05/2020 11:23
Dernière modification de la notice
04/02/2021 7:25
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