Yue Liu, Ian Hoskins, Michael Geng, Qiuxia Zhao, Jonathan Chacko, Kangsheng Qi, Logan Persyn, Jun Wang, Dinghai Zheng, Yochen Zhong, Shilpa Rao, Dayea Park, Elif Sarinay Cenik, Vikram Agarwal, Hakan Ozadam, Can Cenik
{"title":"Translation efficiency covariation across cell types is a conserved organizing principle of mammalian transcriptomes","authors":"Yue Liu, Ian Hoskins, Michael Geng, Qiuxia Zhao, Jonathan Chacko, Kangsheng Qi, Logan Persyn, Jun Wang, Dinghai Zheng, Yochen Zhong, Shilpa Rao, Dayea Park, Elif Sarinay Cenik, Vikram Agarwal, Hakan Ozadam, Can Cenik","doi":"10.1101/2024.08.11.607360","DOIUrl":null,"url":null,"abstract":"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 Translation Efficiency Covariation (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.","PeriodicalId":501307,"journal":{"name":"bioRxiv - Bioinformatics","volume":"119 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"bioRxiv - Bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.08.11.607360","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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 Translation Efficiency Covariation (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.