ArticleNucleic acids research2017
Quantitating translational control: mRNA abundance-dependent and independent contributions and the mRNA sequences that specify them.
Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed, 39 citations in OpenAlex.
- A transcription-driven model of scaled myonuclear accretion reveals a quantitative role for nuclear reserve capacity.The Journal of physiology · 2026Article
- Integrated metabolomic, proteomic, and transcriptomic analyses reveal the production of bioactive metabolites and antidiabetic effects in matureFrontiers in plant science · 2026Article
- Effects of Noise Stress on Neuronal Activation in Rat Auditory Pathway-Related Brain Regions.Diagnostics (Basel, Switzerland) · 2025Article
- DDX21 functions as a potential novel oncopromoter in pancreatic ductal adenocarcinoma: a comprehensive analysis of the DExD box family.Discover oncology · 2024Article
- Article
- Transcriptomics for Clinical and Experimental Biology Research: Hang on a Seq.Advanced genetics (Hoboken, N.J.) · 2023Review
- A state-of-the-art methodology for high-throughput in silico vaccine discovery against protozoan parasites and exemplified with discovered candidates for Toxoplasma gondii.Scientific reports · 2023Article
- Native functions of short tandem repeats.eLife · 2023Article
- Ribosome profiling reveals the translational landscape and allele-specific translational efficiency in rice.Plant communications · 2023Article
- Reassessing the relationship between mRNA levels and protein abundance in exercised skeletal muscles.Nature reviews. Molecular cell biology · 2022Article
- Direct analysis of ribosome targeting illuminates thousand-fold regulation of translation initiation.Cell systems · 2022Article
- Translation initiation and its relevance in colorectal cancer.The FEBS journal · 2021Review
- Wheat in vivo RNA structure landscape reveals a prevalent role of RNA structure in modulating translational subgenome expression asymmetry.Genome biology · 2021Article
- Article
- A Standardized Brain Molecular Atlas: A Resource for Systems Modeling and Simulation.Frontiers in molecular neuroscience · 2021Article
- Learning the Regulatory Code of Gene Expression.Frontiers in molecular biosciences · 2021Review
- Proteomic and Transcriptomic Patterns during Lipid Remodeling inInternational journal of molecular sciences · 2020Article
- The translational landscape of ground state pluripotency.Nature communications · 2020Article
- Translational offsetting as a mode of estrogen receptor α-dependent regulation of gene expression.The EMBO journal · 2019Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
Abstract
Translation rate per mRNA molecule correlates positively with mRNA abundance. As a result, protein levels do not scale linearly with mRNA levels, but instead scale with the abundance of mRNA raised to the power of an 'amplification exponent'. Here we show that to quantitate translational control, the translation rate must be decomposed into two components. One, TRmD, depends on the mRNA level and defines the amplification exponent. The other, TRmIND, is independent of mRNA amount and impacts the correlation coefficient between protein and mRNA levels. We show that in Saccharomyces cerevisiae TRmD represents ∼20% of the variance in translation and directs an amplification exponent of 1.20 with a 95% confidence interval [1.14, 1.26]. TRmIND constitutes the remaining ∼80% of the variance in translation and explains ∼5% of the variance in protein expression. We also find that TRmD and TRmIND are preferentially determined by different mRNA sequence features: TRmIND by the length of the open reading frame and TRmD both by a ∼60 nucleotide element that spans the initiating AUG and by codon and amino acid frequency. Our work provides more appropriate estimates of translational control and implies that TRmIND is under different evolutionary selective pressures than TRmD.
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.