Research
Target gene expression levels and competition between transfected and endogenous microRNAs are strong confounding factors in microRNA high-throughput experiments
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* Corresponding author: Pål Sætrom pal.satrom@ntnu.no
1 Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Prinsesse Kristinsgt. 1, NO-7491 Trondheim, Norway
2 Department of Computer and Information Science, Norwegian University of Science and Technology, Sem Sælands vei 9, NO-7491 Trondheim, Norway
Silence 2012, 3:3 doi:10.1186/1758-907X-3-3
Published: 10 February 2012Abstract
Background
MicroRNA (miRNA) target genes tend to have relatively long and conserved 3' untranslated regions (UTRs), but to what degree these characteristics contribute to miRNA targeting is poorly understood. Different high-throughput experiments have, for example, shown that miRNAs preferentially regulate genes with both short and long 3' UTRs and that target site conservation is both important and irrelevant for miRNA targeting.
Results
We have analyzed several gene context-dependent features, including 3' UTR length, 3' UTR conservation, and messenger RNA (mRNA) expression levels, reported to have conflicting influence on miRNA regulation. By taking into account confounding factors such as technology-dependent experimental bias and competition between transfected and endogenous miRNAs, we show that two factors - target gene expression and competition - could explain most of the previously reported experimental differences. Moreover, we find that these and other target site-independent features explain about the same amount of variation in target gene expression as the target site-dependent features included in the TargetScan model.
Conclusions
Our results show that it is important to consider confounding factors when interpreting miRNA high throughput experiments and urge special caution when using microarray data to compare average regulatory effects between groups of genes that have different average gene expression levels.