Dataset Information


Control of stochasticity in eukaryotic gene expression.

ABSTRACT: Noise, or random fluctuations, in gene expression may produce variability in cellular behavior. To measure the noise intrinsic to eukaryotic gene expression, we quantified the differences in expression of two alleles in a diploid cell. We found that such noise is gene-specific and not dependent on the regulatory pathway or absolute rate of expression. We propose a model in which the balance between promoter activation and transcription influences the variability in messenger RNA levels. To confirm the predictions of our model, we identified both cis- and trans-acting mutations that alter the noise of gene expression. These mutations suggest that noise is an evolvable trait that can be optimized to balance fidelity and diversity in eukaryotic gene expression.


PROVIDER: S-EPMC1410811 | BioStudies | 2004-01-01

REPOSITORIES: biostudies

Similar Datasets

2019-01-01 | S-EPMC6591227 | BioStudies
1000-01-01 | S-EPMC4455047 | BioStudies
2008-01-01 | S-EPMC2630191 | BioStudies
2013-01-01 | S-EPMC3852374 | BioStudies
2012-01-01 | S-EPMC3446772 | BioStudies
2012-01-01 | S-EPMC3431295 | BioStudies
2018-01-01 | S-EPMC6133559 | BioStudies
2002-01-01 | S-EPMC130539 | BioStudies
1000-01-01 | S-EPMC2860118 | BioStudies
1000-01-01 | S-EPMC3419641 | BioStudies