Identification of extremely GC-rich micro RNAs for RT-qPCR data normalization in human plasma.
cognitive stress-coping
human plasma miRNAs
miRNA expression microarray
miRNA reference genes
qPCR normalization
small-RNA sequencing
stem-loop reverse-transcription quantitative PCR
Journal
Frontiers in genetics
ISSN: 1664-8021
Titre abrégé: Front Genet
Pays: Switzerland
ID NLM: 101560621
Informations de publication
Date de publication:
2022
2022
Historique:
received:
30
09
2022
accepted:
02
12
2022
entrez:
23
1
2023
pubmed:
24
1
2023
medline:
24
1
2023
Statut:
epublish
Résumé
We aimed at extending the repertoire of high-quality miRNA normalizers for reverse transcription-quantitative PCR (RT-qPCR) of human plasma with special emphasis on the extremely guanine-cytosine-rich portion of the miRNome. For high-throughput selection of stable candidates, microarray technology was preferred over small-RNA sequencing (sRNA-seq) since the latter underrepresented miRNAs with a guanine-cytosine (GC) content of at least 75% (
Identifiants
pubmed: 36685854
doi: 10.3389/fgene.2022.1058668
pii: 1058668
pmc: PMC9846067
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1058668Commentaires et corrections
Type : ErratumIn
Informations de copyright
Copyright © 2023 Baumann, Athanasiou, Faridani, Schwerdtfeger, Wallner and Steinborn.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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