Liu Yue, Rao Shilpa, Hoskins Ian, Geng Michael, Zhao Qiuxia, Chacko Jonathan, Ghatpande Vighnesh, Qi Kangsheng, Persyn Logan, Wang Jun, Zheng Dinghai, Zhong Yochen, Park Dayea, Cenik Elif Sarinay, Agarwal Vikram, Ozadam Hakan, Cenik Can
Department of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712, USA.
mRNA Center of Excellence, Sanofi, Waltham, MA 02451, USA.
bioRxiv. 2025 Jan 18:2024.08.11.607360. doi: 10.1101/2024.08.11.607360.
Characterization of shared patterns of RNA expression between genes across conditions has led to the discovery of regulatory networks and novel biological functions. However, it is unclear if such coordination extends to translation, a critical step in gene expression. Here, we uniformly analyzed 3,819 ribosome profiling datasets from 117 human and 94 mouse tissues and cell lines. We introduce the concept of (TEC), identifying coordinated translation patterns across cell types. We nominate potential mechanisms driving shared patterns of translation regulation. TEC is conserved across human and mouse cells and helps uncover gene functions. Moreover, our observations indicate that proteins that physically interact are highly enriched for positive covariation at both translational and transcriptional levels. Our findings establish translational covariation as a conserved organizing principle of mammalian transcriptomes.
对不同条件下基因间RNA表达共享模式的表征已促成调控网络和新生物学功能的发现。然而,目前尚不清楚这种协调是否延伸至翻译这一基因表达的关键步骤。在此,我们统一分析了来自117个人类和94个小鼠组织及细胞系的3819个核糖体谱数据集。我们引入了翻译效率协同性(TEC)的概念,识别跨细胞类型的协同翻译模式。我们提出驱动翻译调控共享模式的潜在机制。TEC在人类和小鼠细胞中是保守的,并有助于揭示基因功能。此外,我们的观察结果表明,在翻译和转录水平上,发生物理相互作用的蛋白质高度富集正共变。我们的发现确立了翻译共变作为哺乳动物转录组的一种保守组织原则。