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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2010.1
- 수록면
- 749 - 758 (10page)
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초록· 키워드
오류제보하기
Real time quantitative PCR (qPCR) is the method of choice for miRNA expression studies. For relative quantification of miRNAs, normalization to proper reference genes is mandatory. Currently, no validated reference genes for miRNA qPCR in prostate cancer are available. In this study, the expression of four putative reference genes (hsa-miR-16, hsa-miR-130b, RNU6-2,SNORD7) was examined with regard to their use as normalizer. After SNORD7 was already shown an inappropriate reference gene in preliminary experiments using total RNA pools, we studied the expression of the putative reference genes in tissue and normal adjacent tissue sample pairs from 76 men with untreated prostate carcinoma collected after radical prostatectomy.
hsa-miR-130b and RNU6-2 showed no significantly different expression between the matched malignant and non-malignant tissue samples, whereas hsa-miR-16was significantly underexpressed in malignant tissue.
Softwares geNorm and Normfinder predicted hsamiR-130b and the geometric mean of hsa-miR-130b and RNU6-2 as the most stable reference genes.
Normalization of the four miRNAs hsa-miR-96, hsamiR-125b, hsa-miR-205, and hsa-miR-375, which were previously shown to be regulated, shows that normalization to hsa-mir-16 can lead to biased results. We recommend using hsa-miR-130b or the geometric mean of hsa-miR-130b and small RNA RNU6-2 for normalization in miRNA expression studies of prostate cancer.
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등록된 정보가 없습니다.
참고문헌 (25)
참고문헌 신청
Ambs S / 2008 / Genomic profiling of microRNA and messenger RNA reveals deregulated microRNA expression in prostate cancer / Cancer Res 68 : 6162 ~ 6170
Andersen CL / 2004 / Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normaliza
Bartels CL / 2009 / MicroRNAs: novel biomarkers for human cancer / Clin Chem 55 : 623 ~ 631
Berezikov E / 2005 / Phylogenetic shadowing and computational identification of human microRNA genes / Cell 120 : 21 ~ 24
Bolstad BM / 2003 / A comparison of normalization methods for high density oligonucleotide array data based on variance and bias / Bioinformatics 19 : 185 ~ 193
Andersen CL / 2004 / Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normaliza
Bartels CL / 2009 / MicroRNAs: novel biomarkers for human cancer / Clin Chem 55 : 623 ~ 631
Berezikov E / 2005 / Phylogenetic shadowing and computational identification of human microRNA genes / Cell 120 : 21 ~ 24
Bolstad BM / 2003 / A comparison of normalization methods for high density oligonucleotide array data based on variance and bias / Bioinformatics 19 : 185 ~ 193
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