ArticleMolecular systems biology2012
Dynamics of protein noise can distinguish between alternate sources of gene-expression variability.
Article in Molecular systems biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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Who cites it
49 citing papers in PubMed.
- Impact of variability in cell generation times on cell-to-cell variability of protein concentrations.bioRxiv : the preprint server for biology · 2026Article
- The Constrained Disorder Principle: A Paradigm Shift for Accurate Interactome Mapping and Information Analysis in Complex Biological Systems.Bioengineering (Basel, Switzerland) · 2025Review
- Reconstructing noisy gene regulation dynamics using extrinsic-noise-driven neural stochastic differential equations.PLoS computational biology · 2025Article
- Cyclo-stationary distributions of mRNA and Protein counts for random cell division times.bioRxiv : the preprint server for biology · 2025Article
- Regulation of Transcriptional Bursting and Spatial Patterning in EarlybioRxiv : the preprint server for biology · 2025Article
- Sequestration of gene products by decoys enhances precision in the timing of intracellular events.Scientific reports · 2024Article
- Reversible 2'-OH acylation enhances RNA stability.Nature chemistry · 2023Article
- Out-of-equilibrium gene expression fluctuations in the presence of extrinsic noise.Physical biology · 2023Article
- Genome-Wide Analysis of Gene Expression Noise Brought About by Transcriptional Regulation inmSystems · 2022Article
- Review
- Noise suppression in stochastic genetic circuits using PID controllers.PLoS computational biology · 2021Article
- Partitioning stable and unstable expression level variation in cell populations: A theoretical framework and its application to the T cell receptor.PLoS computational biology · 2020Article
- Enhancement of gene expression noise from transcription factor binding to genomic decoy sites.Scientific reports · 2020Article
- Mammalian gene expression variability is explained by underlying cell state.Molecular systems biology · 2020Article
- Stochastic transcription in the p53-mediated response to DNA damage is modulated by burst frequency.Molecular systems biology · 2019Article
- Cell Size-Based Decision-Making of a Viral Gene Circuit.Cell reports · 2018Article
- Fine-tuning of noise in gene expression with nucleosome remodeling.APL bioengineering · 2018Article
- Article
- Effects of mRNA Degradation and Site-Specific Transcriptional Pausing on Protein Expression Noise.Biophysical journal · 2018Article
- Stochastic system identification without an a priori chosen kinetic model-exploring feasible cell regulation with piecewise linear functions.NPJ systems biology and applications · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Within individual cells, two molecular processes have been implicated as sources of noise in gene expression: (i) Poisson fluctuations in mRNA abundance arising from random birth and death of individual mRNA transcripts or (ii) promoter fluctuations arising from stochastic promoter transitions between different transcriptional states. Steady-state measurements of variance in protein levels are insufficient to discriminate between these two mechanisms, and mRNA single-molecule fluorescence in situ hybridization (smFISH) is challenging when cellular mRNA concentrations are high. Here, we present a perturbation method that discriminates mRNA birth/death fluctuations from promoter fluctuations by measuring transient changes in protein variance and that can operate in the regime of high molecular numbers. Conceptually, the method exploits the fact that transcriptional blockage results in more rapid increases in protein variability when mRNA birth/death fluctuations dominate over promoter fluctuations. We experimentally demonstrate the utility of this perturbation approach in the HIV-1 model system. Our results support promoter fluctuations as the primary noise source in HIV-1 expression. This study illustrates a relatively simple method that complements mRNA smFISH hybridization and can be used with existing GFP-tagged libraries to include or exclude alternate sources of noise in gene expression.
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