Hart Martin, Diener Caroline, Rheinheimer Stefanie, Kehl Tim, Keller Andreas, Lenhof Hans-Peter, Meese Eckart
Institute of Human Genetics, Saarland University (USAAR), Homburg, Germany.
Center of Human and Molecular Biology (ZHMB), Saarland University (USAAR), Saarbrücken, Germany.
RNA Biol. 2025 Dec;22(1):1-9. doi: 10.1080/15476286.2025.2449775. Epub 2025 Jan 11.
The lack of a sufficient number of validated miRNA targets severely hampers the understanding of their biological function. Even for the well-studied miR-155-5p, there are only 239 experimentally validated targets out of 42,554 predicted targets. For a more complete assessment of the immune-related miR-155 targetome, we used an inverse correlation of time-resolved mRNA profiles and miR-155-5p expression of early CD4+ T cell activation to predict immune-related target genes. Using a high-throughput miRNA interaction reporter (HiTmIR) assay we examined 90 target genes and confirmed 80 genes as direct targets of miR-155-5p. Our study increases the current number of verified miR-155-5p targets approximately threefold and exemplifies a method for verifying miRNA targetomes as a prerequisite for the analysis of miRNA-regulated cellular networks.
缺乏足够数量的经过验证的miRNA靶标严重阻碍了对其生物学功能的理解。即使对于研究充分的miR-155-5p,在42554个预测靶标中也仅有239个经过实验验证的靶标。为了更全面地评估免疫相关的miR-155靶标组,我们利用早期CD4 + T细胞活化的时间分辨mRNA谱与miR-155-5p表达的负相关性来预测免疫相关靶基因。使用高通量miRNA相互作用报告基因(HiTmIR)分析,我们检测了90个靶基因,并确认其中80个基因为miR-155-5p的直接靶标。我们的研究使目前已验证的miR-155-5p靶标数量增加了约三倍,并举例说明了一种验证miRNA靶标组的方法,这是分析miRNA调控的细胞网络的先决条件。