Normalization of microRNA expression levels in Quantitative RT-PCR arrays
2010 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE credits
Student thesis
Abstract [en]
Background: Real-time quantitative Reverse Transcriptase Polymerase Chain Reaction (qRT-PCR) is recently used for characterization and expression analysis of miRNAs. The data from such experiments need effective analysis methods to produce reliable and high-quality data. For the miRNA prostate cancer qRT-PCR data used in this study, standard housekeeping normalization method fails due to non-stability of endogenous controls used. Therefore, identifying appropriate normalization method(s) for data analysis based on other data driven principles is an important aspect of this study.
Results: In this study, different normalization methods were tested, which are available in the R packages Affy and qpcrNorm for normalization of the raw data. These methods reduce the technical variation and represent robust alternatives to the standard housekeeping normalization method. The performance of different normalization methods was evaluated statistically and compared against each other as well as with the standard housekeeping normalization method. The results suggest that qpcrNorm Quantile normalization method performs best for all methods tested.
Conclusions: The qpcrNorm Quantile normalization method outperforms the other normalization methods and standard housekeeping normalization method, thus proving the hypothesis of the study. The data driven methods used in this study can be applied as standard procedures in cases where endogenous controls are not stable.
Place, publisher, year, edition, pages
2010. , p. 30
Keywords [en]
Normalization, MicroRNA, Quantile, qRT-PCR
National Category
Bioinformatics and Computational Biology
Identifiers
URN: urn:nbn:se:his:diva-4133OAI: oai:DiVA.org:his-4133DiVA, id: diva2:324414
Presentation
2010-05-19, P201, Portalen, Skövde, 14:00 (English)
Uppsok
Medicine
Supervisors
Examiners
2010-06-162010-06-152025-02-07Bibliographically approved