A systemic approach to screening high-throughput RT-qPCR data for a suitable set of reference circulating miRNAs
筛选高通量RT-qPCR数据的系统方法
作者: Konrad PagaczPrzemyslaw KucharskiUrszula SmyczynskaSzymon GrabiaDipanjan ChowdhuryWojciech Fendler
作者单位: 1Department of Biostatistics and Translational Medicine, Medical University of Lodz, Lodz, Poland
2Postgraduate School of Molecular Medicine, Medical University of Warsaw, Warsaw, Poland
3Institute of Applied Computer Science, Lodz University of Technology, Lodz, Poland
4Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
刊名: BMC Genomics, 2020, Vol.21 (1), pp.137-158
来源数据库: Springer Nature Journal
DOI: 10.1186/s12864-020-6530-3
英文摘要: Abstract(#br)Background(#br)The consensus on how to choose a reference gene for serum or plasma miRNA expression qPCR studies has not been reached and none of the potential candidates have yet been convincingly validated. We proposed a new in silico approach of finding a suitable reference for human, circulating miRNAs and identified a new set of endogenous reference miRNA based on miRNA profiling experiments from Gene Expression Omnibus. We used 3 known normalization algorithms (NormFinder, BestKeeper, GeNorm) to calculate a new normalization score. We searched for a universal set of endogenous miRNAs and validated our findings on 2 new datasets using our approach. Results(#br)We discovered and validated a set of 13 miRNAs (miR-222, miR-92a, miR-27a, miR-17, miR-24, miR-320a, miR-25,...
全文获取路径: Springer Nature  (合作)
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影响因子:4.397 (2012)

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