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Computational analysis reveals a correlation of exon-skipping events with splicing transcription and epigenetic factors

机译:计算分析显示外显子跳跃事件与剪接转录和表观遗传因素的相关性

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摘要

Alternative splicing (AS), in higher eukaryotes, is one of the mechanisms of post-transcriptional regulation that generate multiple transcripts from the same gene. One particular mode of AS is the skipping event where an exon may be alternatively excluded or constitutively included in the resulting mature mRNA. Both transcript isoforms from this skipping event site, i.e. in which the exon is either included (inclusion isoform) or excluded (skipping isoform), are typically present in one cell, and maintain a subtle balance that is vital to cellular function and dynamics. However, how the prevailing conditions dictate which isoform is expressed and what biological factors might influence the regulation of this process remain areas requiring further exploration. In this study, we have developed a novel computational method, graph-based exon-skipping scanner (GESS), for de novo detection of skipping event sites from raw RNA-seq reads without prior knowledge of gene annotations, as well as for determining the dominant isoform generated from such sites. We have applied our method to publicly available RNA-seq data in GM12878 and K562 cells from the ENCODE consortium and experimentally validated several skipping site predictions by RT-PCR. Furthermore, we integrated other sequencing-based genomic data to investigate the impact of splicing activities, transcription factors (TFs) and epigenetic histone modifications on splicing outcomes. Our computational analysis found that splice sites within the skipping-isoform-dominated group (SIDG) tended to exhibit weaker MaxEntScan-calculated splice site strength around middle, ‘skipping’, exons compared to those in the inclusion-isoform-dominated group (IIDG). We further showed the positional preference pattern of splicing factors, characterized by enrichment in the intronic splice sites immediately bordering middle exons. Finally, our analysis suggested that different epigenetic factors may introduce a variable obstacle in the process of exon–intron boundary establishment leading to skipping events.
机译:高级真核生物中的选择性剪接(AS)是转录后调控的机制之一,该转录后调控可从同一基因生成多个转录本。 AS的一种特定模式是跳过事件,其中外显子可以替代地被排除或组成性地包括在所得的成熟mRNA中。来自该跳跃事件位点的两种转录同工型,即其中外显子被包括(包含同工型)或被排除(跳过同工型),通常存在于一个细胞中,并维持对细胞功能和动力学至关重要的微妙平衡。然而,目前的条件如何决定表达哪种同工型以及哪些生物学因素可能影响该过程的调控仍需进一步探索。在这项研究中,我们开发了一种新颖的计算方法,即基于图形的外显子跳跃扫描仪(GESS),用于从原始RNA-seq读数中从头检测跳跃事件位点,而无需事先了解基因注释,以及用于确定从这些位点产生的显性同工型。我们已经将我们的方法应用于来自ENCODE联盟的GM12878和K562细胞中公开可用的RNA序列数据,并通过RT-PCR实验验证了几个跳跃位点的预测。此外,我们整合了其他基于测序的基因组数据,以研究剪接活性,转录因子(TF)和表观遗传组蛋白修饰对剪接结果的影响。我们的计算分析发现,与包含同工型占优势的组(IIDG)相比,跳过同工型占主导地位的组(SIDG)中的剪接位点倾向于在中间,“跳跃”外显子周围表现出较弱的MaxEntScan计算得出的剪接位点强度。我们进一步显示了剪接因子的位置偏好模式,其特征是在紧接中间外显子的内含子剪接位点富集。最后,我们的分析表明,不同的表观遗传因素可能在外显子-内含子边界建立过程中引入可变障碍,从而导致跳跃事件。

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