Gene expression
Where does cells minimize expression noise?
Open access · cc by · source: Europe PMC
Yeast minimizes protein-expression noise preferentially for essential genes and protein-complex subunits, supporting that noise is generally harmful.
Study at a glance
- Design
- Computational / modelling — Genome-wide yeast expression analysis testing noise minimization for essential genes and complex subunits
- N
- Yeast genome-wide expression strategies — not a sample-N study
- Population
- Saccharomyces cerevisiae genes (essential genes and complex subunits)
- Outcome
- Minimization of stochastic expression noise for sensitive genes
Structured fields used in claim comparison tables when every cited study has a complete layer.
Key findings
Noise is minimized for essential genes and complex subunits via transcriptional/translational control, at a cost; noise appears generally deleterious.
Methodology
Analyzed genome-wide expression strategies in yeast to test whether genes for which noise would be most harmful show reduced stochastic expression.
Limitations
Hidden variables could bias genome-wide patterns; protein degradation’s role needs genome-wide half-life data.
How this study connects
Role on claims
Each row is a claim on a concept or method page where this paper supports, challenges, or qualifies the statement. Roles are hand-checked — not a model guess.
Multiple empirical papers in this library examine gene expression with mechanistic biological findings.
Evidence for the claim as stated.
Noise is minimized for essential genes and complex subunits via transcriptional/translational control, at a cost; noise appears generally deleterious.
Evidence for the claim as stated.
Systems and scales differ across gene expression studies (species, tissues, methods), so mechanisms should not be over-generalised.
Evidence for the claim as stated.
Open questions
Tensions this paper is part of
From concept pages' “where studies disagree.” Disagreement means the same question; scope means different assays, populations, or outcomes.
Systems and scales differ across gene expression studies (species, tissues, methods), so mechanisms should not be over-generalised.
Related papers in this topic
Same topic cluster — not a recommendation engine.