ArticleNature biotechnology2026
Translation efficiency covariation identifies conserved coordination patterns across cell types.
Article in Nature biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Kinetic Control of Nuclear-encoded Mitochondrial mRNA Localization and Local Translation.bioRxiv : the preprint server for biology · 2026Article
- Ribo-ITP enables identification of translons from limited input samples.Nature communications · 2026Article
- Mechanometabolism instructs hematopoietic stem cell specification.The Journal of experimental medicine · 2026Article
- Translational buffering tunes gene expression in mice and humans.Genome biology · 2026Article
- GC3 codons enhance protein production in diverse GC- and AT-rich plant species.bioRxiv : the preprint server for biology · 2025Article
- Long-read RNA sequencing reveals allele-specificGenome research · 2025Article
- Landscape and regulation of mRNA translation in the earlybioRxiv : the preprint server for biology · 2025Article
Corrections and comments
- Update of
Authors and funding
17 authors.
Funding
Abstract
Characterizing shared patterns of RNA expression between genes across conditions has led to the discovery of regulatory networks and biological functions. However, it is unclear if such coordination extends to translation. In this study, we uniformly analyze 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. TEC has potential as a predictive marker for gene function and may offer a framework for designing gene expression systems in synthetic biology and biotechnological applications.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.