MicroRNA expression studies: challenge of selecting reliable reference controls for data normalization
| Autor: | Meysam Soleimani, Heidi Schwarzenbach, Johan M. Lorenzen, Soheil Madadi |
|---|---|
| Přispěvatelé: | University of Zurich, Soleimani, Meysam |
| Rok vydání: | 2019 |
| Předmět: |
Disease stages
2804 Cellular and Molecular Neuroscience 610 Medicine & health Disease Computational biology Biology Database normalization 1307 Cell Biology 03 medical and health sciences Cellular and Molecular Neuroscience Central Nervous System Diseases Neoplasms RNA Small Nuclear microRNA 1312 Molecular Biology Humans Tuberculosis 10035 Clinic for Nephrology Molecular Biology Pharmacology 0303 health sciences 030302 biochemistry & molecular biology Cell Biology Hepatitis B Prognosis Expression (mathematics) Identification (information) MicroRNAs 3004 Pharmacology Cardiovascular Diseases 1313 Molecular Medicine Molecular Medicine Biomarkers |
| Zdroj: | Cellular and molecular life sciences : CMLS. 76(18) |
| ISSN: | 1420-9071 |
| Popis: | Accurate determination of microRNA expression levels is a prerequisite in using these small non-coding RNA molecules as novel biomarkers in disease diagnosis and prognosis. Quantitative PCR is the method of choice for measuring the expression levels of microRNAs. However, a major obstacle that affects the reliability of results is the lack of validated reference controls for data normalization. Various non-coding RNAs have previously been used as reference controls, but their use may lead to variations and lack of comparability of microRNA data among the studies. Despite the growing number of studies investigating microRNA profiles to discriminate between healthy and disease stages, robust reference controls for data normalization have so far not been established. In the present article, we provide an overview of different reference controls used in various diseases, and highlight the urgent need for the identification of suitable reference controls to produce reliable data. Our analysis shows, among others, that RNU6 is not an ideal normalizer in studies using patient material from different diseases. Finally, our article tries to disclose the challenges to find a reference control which is uniformly and stably expressed across all body tissues, fluids, and diseases. |
| Databáze: | OpenAIRE |
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