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DDX3X 通过普遍存在的 GC 含量特征实现多模式 mRNA 调控。

A ubiquitous GC content signature underlies multimodal mRNA regulation by DDX3X.

机构信息

Department of Cell and Tissue Biology, UCSF, San Francisco, USA.

Medical Scientist Training Program, University of California, San Francisco, San Francisco, CA, 94158, USA.

出版信息

Mol Syst Biol. 2024 Mar;20(3):276-290. doi: 10.1038/s44320-024-00013-0. Epub 2024 Jan 25.

Abstract

The road from transcription to protein synthesis is paved with many obstacles, allowing for several modes of post-transcriptional regulation of gene expression. A fundamental player in mRNA biology is DDX3X, an RNA binding protein that canonically regulates mRNA translation. By monitoring dynamics of mRNA abundance and translation following DDX3X depletion, we observe stabilization of translationally suppressed mRNAs. We use interpretable statistical learning models to uncover GC content in the coding sequence as the major feature underlying RNA stabilization. This result corroborates GC content-related mRNA regulation detectable in other studies, including hundreds of ENCODE datasets and recent work focusing on mRNA dynamics in the cell cycle. We provide further evidence for mRNA stabilization by detailed analysis of RNA-seq profiles in hundreds of samples, including a Ddx3x conditional knockout mouse model exhibiting cell cycle and neurogenesis defects. Our study identifies a ubiquitous feature underlying mRNA regulation and highlights the importance of quantifying multiple steps of the gene expression cascade, where RNA abundance and protein production are often uncoupled.

摘要

从转录到蛋白质合成的道路上有许多障碍,这为基因表达的转录后调控提供了多种模式。在 mRNA 生物学中,一个基本的参与者是 DDX3X,一种 RNA 结合蛋白,它规范地调节 mRNA 的翻译。通过监测 DDX3X 耗竭后 mRNA 丰度和翻译的动态,我们观察到翻译受抑制的 mRNA 稳定性增加。我们使用可解释的统计学习模型来揭示编码序列中的 GC 含量是 RNA 稳定性的主要特征。这一结果与其他研究中可检测到的与 GC 含量相关的 mRNA 调控相吻合,包括数百个 ENCODE 数据集和最近关注细胞周期中 mRNA 动力学的工作。我们通过对数百个样本的 RNA-seq 图谱进行详细分析,提供了进一步的证据支持 mRNA 稳定性,包括 Ddx3x 条件性敲除小鼠模型,该模型表现出细胞周期和神经发生缺陷。我们的研究确定了 mRNA 调控的普遍特征,并强调了量化基因表达级联的多个步骤的重要性,其中 RNA 丰度和蛋白质产生通常是解耦的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/171f/10912769/ae9f6446df36/44320_2024_13_Fig1_HTML.jpg

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