Nature BiotechnologyBioinformaticsPeer-reviewed journal article
Translation efficiency covariation across cell types is a conserved organizing principle of mammalian transcriptomes
Yue LiuiD, Shilpa J RaoiD, Ian HoskinsiD, Michael M. Geng, Qiuxia ZhaoiD, Jonathan Chacko, Vighnesh GhatpandeiD, Kangsheng Qi, Logan PersyniD, Jun Wang, Dinghai ZhengiD, Yochen Zhong, Dayea Park, Elif Sarinay CenikiD, Vikram AgarwaliD, Hakan ÖzadamiD, Can CenikiD
Abstract
Characterizing 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. Here, we uniformly analyzed 3,819 ribosome profiling datasets from 117 human and 94 mouse tissues and cell lines. We introduce the concept of translation efficiency covariation (TEC), identifying coordinated translation patterns across cell types. We nominate candidate mechanisms driving shared patterns of translation regulation. TEC is conserved across human and mouse cells and uncovers gene functions that are not evident from RNA or protein co-expression. Moreover, our observations indicate that proteins that physically interact are highly enriched for positive covariation at both translational and transcriptional levels. Our findings establish TEC as a conserved organizing principle of mammalian transcriptomes.
- organism: human
- organism: mouse
- assay: Ribo-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: protein structure prediction
- research focus: protein design
- approach: statistical model
- Citations
- 16
- FWCI
- 4.18
- Field percentile
- top 4%
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