ArticleCell systems2017
Determinants and Regulation of Protein Turnover in Yeast.
Article in Cell systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 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
71 citing papers in PubMed.
- scYeast: a biological-knowledge-guided foundation model on yeast single-cell transcriptomics.Synthetic and systems biotechnology · 2027Article
- The proportional scaling of mRNA and ribosome concentrations controls eukaryotic cell growth.Nature cell biology · 2026Article
- Ontological Analysis of Brain Proteostasis Highlights the Sex-Dependent Trajectory of ApoE Isoform-Specific Regulation.bioRxiv : the preprint server for biology · 2026Article
- EnzymeTuning improves enzyme-constrained metabolic modeling and proteome abundance prediction through deep learning.Nature communications · 2026Article
- Age-based approach to characterize the dynamics of cellular processes.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Article
- Protein Stability, Turnover Kinetics, and Abundance Constrain the Scaling of Protein Interaction Networks.bioRxiv : the preprint server for biology · 2026Article
- ANYI: The ANnotated Yeast Interactome.bioRxiv : the preprint server for biology · 2026Article
- Deep Learning-Based Protein Half-Life Prediction for Identifying Rate-Limiting Enzymes in Metabolic Pathways to Alleviate Bottleneck Reactions.Journal of microbiology and biotechnology · 2026Article
- Protein overabundance is driven by growth robustness.Science advances · 2026Article
- A modular single- and dual-gene expression toolkit for Kluyveromyces marxianus.World journal of microbiology & biotechnology · 2026Article
- Coupling mechanisms coordinating mRNA translation with stages of the mRNA lifecycle.RNA biology · 2025Review
- Protein overabundance is driven by growth robustness.bioRxiv : the preprint server for biology · 2025Article
- Context-Aware Biosensor Design Through Biology-Guided Machine Learning and Dynamical Modeling.ACS synthetic biology · 2025Article
- Genome dilution by cell growth drives starvation-like proteome remodeling in mammalian and yeast cells.Nature structural & molecular biology · 2024Article
- Quantitative and Kinetic Proteomics Reveal ApoE Isoform-dependent Proteostasis Adaptations in Mouse Brain.PLoS computational biology · 2024Article
- Mitochondrial protein heterogeneity stems from the stochastic nature of co-translational protein targeting in cell senescence.Nature communications · 2024Article
- Missing Values in Longitudinal Proteome Dynamics Studies: Making a Case for Data Multiple Imputation.Journal of proteome research · 2024Article
- Noise robustness and metabolic load determine the principles of central dogma regulation.Science advances · 2024Article
- Noise robustness and metabolic load determine the principles of central dogma regulation.ArXiv · 2024Article
11 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Protein turnover maintains the recycling needs of the proteome, and its malfunction has been linked to aging and age-related diseases. However, not all proteins turnover equally, and the factors that contribute to accelerate or slow down turnover are mostly unknown. We measured turnover rates for 3,160 proteins in exponentially growing yeast and analyzed their dependence on physical, functional, and genetic properties. We found that functional characteristics, including protein localization, complex membership, and connectivity, have greater effect on turnover than sequence elements. We also found that protein turnover and mRNA turnover are correlated. Analysis under nutrient perturbation and osmotic stress revealed that protein turnover highly depends on cellular state and is faster when proteins are being actively used. Finally, stress-induced changes in protein and transcript abundance correlated with changes in protein turnover. This study provides a resource of protein turnover rates and principles to understand the recycling needs of the proteome under basal conditions and perturbation.
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.