通过将时间分辨RNA模式整合到miRNA靶标预测中,扩大miR-155-5p的免疫相关靶标组。

IF 3.6 3区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
RNA Biology Pub Date : 2025-12-01 Epub Date: 2025-01-11 DOI:10.1080/15476286.2025.2449775
Martin Hart, Caroline Diener, Stefanie Rheinheimer, Tim Kehl, Andreas Keller, Hans-Peter Lenhof, Eckart Meese
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引用次数: 0

摘要

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,也只有239个实验验证的靶标。为了更完整地评估免疫相关的miR-155靶组,我们使用了时间分辨mRNA谱和早期CD4+ T细胞活化的miR-155-5p表达的负相关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)检测,我们检测了90个靶基因,并确认了80个基因是miR-155-5p的直接靶点。我们的研究将目前验证的miR-155-5p靶标数量增加了大约三倍,并举例说明了一种验证miRNA靶组的方法,作为分析miRNA调控的细胞网络的先决条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Expanding the immune-related targetome of miR-155-5p by integrating time-resolved RNA patterns into miRNA target prediction.

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.

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来源期刊
RNA Biology
RNA Biology 生物-生化与分子生物学
CiteScore
8.60
自引率
0.00%
发文量
82
审稿时长
1 months
期刊介绍: RNA has played a central role in all cellular processes since the beginning of life: decoding the genome, regulating gene expression, mediating molecular interactions, catalyzing chemical reactions. RNA Biology, as a leading journal in the field, provides a platform for presenting and discussing cutting-edge RNA research. RNA Biology brings together a multidisciplinary community of scientists working in the areas of: Transcription and splicing Post-transcriptional regulation of gene expression Non-coding RNAs RNA localization Translation and catalysis by RNA Structural biology Bioinformatics RNA in disease and therapy
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