Skip to Main Content (Press Enter)

Logo UNIPD
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Competenze

UNI-FIND
Logo UNIPD

|

UNI-FIND

unipd.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Competenze
  1. Pubblicazioni

Selection and validation of miR-1280 as a suitable endogenous normalizer for qRT-PCR Analysis of serum microRNA expression in Hepatocellular Carcinoma

Articolo
Data di Pubblicazione:
2020
Abstract:
Normalization procedures for the qRT-PCR analysis of miRNA in biological samples are recommended to reduce the variability caused by pre-analytical factors. Since there is no universal standardized normalization strategy for miRNA qRT-PCR studies, we conducted a throughout study to evaluate a panel of small non-coding RNAs (sncRNAs) as reference gene candidate for biomarker studies in serum samples of patients with hepatocellular carcinoma (HCC). Five sncRNAs (miR-1280, miR-1275, SNORD-116, SNORD-68, and U6) were chosen as candidate of reference genes. This study included 122 patients with HCC and was organized into a "pilot phase" consisting of 20 serum samples of HCC patients, and a "validation phase" of 102 patients. Expression level of these candidates were analyzed by qRT-PCR. Assessment of gene stability was performed using four different integrative platforms (geNorm NormFinder, Bestkeeper, and the Delta Ct method). To determine the gene stability during the follow-up of the patient, we extend the analysis of the validation cohort at T1 (1 month after treatment) and T2 (6 month after treatment). MiR-1280 was identified as the most stably expressed reference gene in both pilot and validation phase also during the follow-up. MiR-1280 appears a reliable reference gene candidate in biomarker studies.
Tipologia CRIS:
01.01 - Articolo in rivista
Elenco autori:
Pratama, M. Y.; Cavalletto, L.; Tiribelli, C.; Chemello, L.; Pascut, D.
Autori di Ateneo:
CHEMELLO LILIANA
Link alla scheda completa:
https://www.research.unipd.it/handle/11577/3342485
Link al Full Text:
https://www.research.unipd.it//retrieve/handle/11577/3342485/925820/unpaywall-bitstream--1462281712.pdf
Pubblicato in:
SCIENTIFIC REPORTS
Journal
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.1.0