ceRNA方法可能揭示5q-综合征模型缺失综合征的意想不到的贡献者

W. Arancio, S. Genovese, L. Bongiovanni, C. Tripodo
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引用次数: 9

摘要

在基因组缺失中,基因单倍不足可能直接配置特定的疾病表型。然而,在某些情况下,单倍不足基因和缺失相关表型之间没有功能关联。转录本可以作为microRNA海绵。半合子区域转录本的减少可能会增加特定microrna的可用性,这反过来可能会对缺失区域外的靶基因进行反式调控,最终导致表型。在这里,我们展望了一种竞争性内源性RNA (ceRNA)方法,用于鉴定缺失综合征中表观遗传调控的候选基因靶点。作为模型,我们分析了5q-骨髓增生异常综合征。在CD34+细胞中,在常见的5q缺失区发现了单倍体功能不全的基因。使用miRWalk 2.0平台,我们预测了通过缺失可以增强其可用性和活性的microrna,并对5q缺失区域外可能被预测的mirna靶向的基因进行了全基因组分析。分析指出,在5q-转录组中有两个基因表达改变,这两个基因以前从未与5q-相关。预期的方法允许调查基因组缺失的全球转录效应,可能会促使发现缺失相关表型中未预料到的贡献者。此外,它可能有助于描述先前报道的意外相互作用的功能特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A ceRNA approach may unveil unexpected contributors to deletion syndromes, the model of 5q- syndrome
In genomic deletions, gene haploinsufficiency might directly configure a specific disease phenotype. Nevertheless, in some cases no functional association can be identified between haploinsufficient genes and the deletion-associated phenotype. Transcripts can act as microRNA sponges. The reduction of transcripts from the hemizygous region may increase the availability of specific microRNAs, which in turn may exert in-trans regulation of target genes outside the deleted region, eventually contributing to the phenotype. Here we prospect a competing endogenous RNA (ceRNA) approach for the identification of candidate genes target of epigenetic regulation in deletion syndromes. As a model, we analyzed the 5q- myelodysplastic syndrome. Genes in haploinsufficiency within the common 5q deleted region in CD34+ blasts were identified in silico. Using the miRWalk 2.0 platform, we predicted microRNAs whose availability, and thus activity, could be enhanced by the deletion, and performed a genomewide analysis of the genes outside the 5q deleted region that could be targeted by the predicted miRNAs. The analysis pointed to two genes with altered expression in 5q- transcriptome, which have never been related with 5q- before. The prospected approach allows investigating the global transcriptional effect of genomic deletions, possibly prompting discovery of unsuspected contributors in the deletion-associated phenotype. Moreover, it may help in functionally characterizing previously reported unexpected interactions.
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