Department of Computer Science, Colorado State University, Fort Collins, CO, USA.
Department of Biology, Colorado State University, Fort Collins, CO, USA.
Genome Biol. 2023 Mar 22;24(1):53. doi: 10.1186/s13059-023-02885-1.
Alternative splicing is a widespread regulatory phenomenon that enables a single gene to produce multiple transcripts. Among the different types of alternative splicing, intron retention is one of the least explored despite its high prevalence in both plants and animals. The recent discovery that the majority of splicing is co-transcriptional has led to the finding that chromatin state affects alternative splicing. Therefore, it is plausible that transcription factors can regulate splicing outcomes.
We provide evidence for the hypothesis that transcription factors are involved in the regulation of intron retention by studying regions of open chromatin in retained and excised introns. Using deep learning models designed to distinguish between regions of open chromatin in retained introns and non-retained introns, we identified motifs enriched in IR events with significant hits to known human transcription factors. Our model predicts that the majority of transcription factors that affect intron retention come from the zinc finger family. We demonstrate the validity of these predictions using ChIP-seq data for multiple zinc finger transcription factors and find strong over-representation for their peaks in intron retention events.
This work opens up opportunities for further studies that elucidate the mechanisms by which transcription factors affect intron retention and other forms of splicing.
Source code available at https://github.com/fahadahaf/chromir.
可变剪接是一种广泛存在的调控现象,它使一个基因能够产生多个转录本。在不同类型的可变剪接中,尽管内含子保留在植物和动物中都很普遍,但它是研究最少的一种。最近发现,大多数剪接是共转录的,这导致了染色质状态影响可变剪接的发现。因此,转录因子可以调节剪接结果是合理的。
我们通过研究保留和切除内含子中的开放染色质区域,为转录因子参与内含子保留调控的假说提供了证据。我们使用专门设计的深度学习模型来区分保留内含子和非保留内含子中的开放染色质区域,鉴定了在内含子保留事件中富集的基序,这些基序与已知的人类转录因子有显著的命中。我们的模型预测,影响内含子保留的大多数转录因子来自锌指家族。我们使用多个锌指转录因子的 ChIP-seq 数据验证了这些预测,并发现它们在内含子保留事件中的峰有很强的过表达。
这项工作为进一步研究转录因子如何影响内含子保留和其他形式的剪接机制提供了机会。
可在 https://github.com/fahadahaf/chromir 上获得源代码。