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Small nucleolar RNA U91 is a new internal control for accurate microRNAs quantification in pancreatic cancer
A. Popov, A. Szabo, V. Mandys,
Jazyk angličtina Země Anglie, Velká Británie
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
BioMedCentral
od 2001-12-01
BioMedCentral Open Access
od 2001
Directory of Open Access Journals
od 2001
Free Medical Journals
od 2001
PubMed Central
od 2001
Europe PubMed Central
od 2001
ProQuest Central
od 2009-01-01
Open Access Digital Library
od 2001-01-01
Open Access Digital Library
od 2001-01-01
Open Access Digital Library
od 2001-01-01
Medline Complete (EBSCOhost)
od 2001-01-01
Health & Medicine (ProQuest)
od 2009-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2001
Springer Nature OA/Free Journals
od 2001-12-01
- MeSH
- adenokarcinom genetika MeSH
- analýza rozptylu MeSH
- dospělí MeSH
- kvantitativní polymerázová řetězová reakce metody MeSH
- lidé středního věku MeSH
- lidé MeSH
- malá jadérková RNA metabolismus MeSH
- mikro RNA analýza metabolismus MeSH
- nádorové biomarkery genetika MeSH
- nádory slinivky břišní genetika MeSH
- regulace genové exprese u nádorů MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- stanovení celkové genové exprese MeSH
- studie případů a kontrol MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
BACKGROUND: RT-qPCR quantification of miRNAs expression may play an essential role in pancreatic ductal adenocarcinoma (PDAC) diagnostics. RT-qPCR-based experiments require endogenous controls for the result normalization and reliability. However, expression instability of reference genes in tumors may introduce bias when determining miRNA levels. METHODS: We investigated expression of 6 miRNAs, isolated from FFPE samples of pancreatic adenocarcinomas. Four internal controls were utilized for RT-qPCR result normalization: artificial miR-39 from C. elegans, U6 snRNA, miR-16 and snoRNA U91. RESULTS: We found miR-21, miR-155 or miR-217 expression values in tumors may differ up to several times, depending on selected internal controls. Moreover, different internal controls can produce controversial results for miR-96, miR-148a or miR-196a quantification. Also, expression of our endogenous controls varied significantly in tumors. U6 demonstrated variation from -1.03 to 8.12-fold, miR-16 from -2.94 up to 7.38-fold and the U91 from -3.05 to 4.36-fold respectively. On the other hand, the most stable gene, determined by NormFinder algorithm, was U91. Each miRNA normalized relatively to the spike or U91, demonstrated similar expression values. Thus, statistically significant and insignificant differences between tumors and normal tissues for miRNAs were equal for the spike and the U91. Also, the differences between the spike and U91 were statistically insignificant for all of miRs except miR-217. Among three endogenous controls, U91 had the lowest average expression values and standard deviation in cancer tissues. CONCLUSIONS: We recommend U91 as a new normalizer for miRNA quantification in PDACs.
Citace poskytuje Crossref.org
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- $a Popov, Alexey $u Department of Pathology, Third Faculty of Medicine, Charles University in Prague and University Hospital Kralovske Vinohrady, Srobarova 50, 100 00, Prague 10, Czech Republic. alexey.popov@lf3.cuni.cz.
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- $a BACKGROUND: RT-qPCR quantification of miRNAs expression may play an essential role in pancreatic ductal adenocarcinoma (PDAC) diagnostics. RT-qPCR-based experiments require endogenous controls for the result normalization and reliability. However, expression instability of reference genes in tumors may introduce bias when determining miRNA levels. METHODS: We investigated expression of 6 miRNAs, isolated from FFPE samples of pancreatic adenocarcinomas. Four internal controls were utilized for RT-qPCR result normalization: artificial miR-39 from C. elegans, U6 snRNA, miR-16 and snoRNA U91. RESULTS: We found miR-21, miR-155 or miR-217 expression values in tumors may differ up to several times, depending on selected internal controls. Moreover, different internal controls can produce controversial results for miR-96, miR-148a or miR-196a quantification. Also, expression of our endogenous controls varied significantly in tumors. U6 demonstrated variation from -1.03 to 8.12-fold, miR-16 from -2.94 up to 7.38-fold and the U91 from -3.05 to 4.36-fold respectively. On the other hand, the most stable gene, determined by NormFinder algorithm, was U91. Each miRNA normalized relatively to the spike or U91, demonstrated similar expression values. Thus, statistically significant and insignificant differences between tumors and normal tissues for miRNAs were equal for the spike and the U91. Also, the differences between the spike and U91 were statistically insignificant for all of miRs except miR-217. Among three endogenous controls, U91 had the lowest average expression values and standard deviation in cancer tissues. CONCLUSIONS: We recommend U91 as a new normalizer for miRNA quantification in PDACs.
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