ArticleProceedings of the National Academy of Sciences of the United States of America2011
Exploring transcription regulation through cell-to-cell variability.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 53 citations in OpenAlex.
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- Heterogeneity in maternal mRNAs within clutches of eggs in response to thermal stress during the embryonic stage.BMC ecology and evolution · 2024Article
- Hierarchical Bayesian models of transcriptional and translational regulation processes with delays.Bioinformatics (Oxford, England) · 2021Article
- Cellular, molecular, and therapeutic characterization of pilocarpine-induced temporal lobe epilepsy.Scientific reports · 2021Article
- Imaging and Quantification of mRNA Molecules at Single-Cell Resolution in the Human Fungal Pathogen Candida albicans.mSphere · 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
- Added value of autoregulation and multi-step kinetics of transcription initiation.Royal Society open science · 2018Article
- Chaperones, Canalization, and Evolution of Animal Forms.International journal of molecular sciences · 2018Review
- Redundancy, Feedback, and Robustness in theFrontiers in genetics · 2018Article
- Stochastic loss and gain of symmetric divisions in the C. elegans epidermis perturbs robustness of stem cell number.PLoS biology · 2017Article
- Deconvolution of Gene Expression Noise into Spatial Dynamics of Transcription Factor-Promoter Interplay.ACS synthetic biology · 2017Article
- Independent regulation of gene expression level and noise by histone modifications.PLoS computational biology · 2017Article
- The developmental genetics of biological robustness.Annals of botany · 2016Review
- Pervasive robustness in biological systems.Nature reviews. Genetics · 2015Review
- Noise decomposition of intracellular biochemical signaling networks using nonequivalent reporters.Proceedings of the National Academy of Sciences of the United States of America · 2014Article
- Scalable inference of heterogeneous reaction kinetics from pooled single-cell recordings.Nature methods · 2014Article
- Promoter-mediated transcriptional dynamics.Biophysical journal · 2014Article
- Article
- The details in the distributions: why and how to study phenotypic variability.Current opinion in biotechnology · 2013Article
- An effective method for computing the noise in biochemical networks.The Journal of chemical physics · 2013Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The regulation of cellular protein levels is a complex process involving many regulatory mechanisms, each introducing stochastic events, leading to variability of protein levels between isogenic cells. Previous studies have shown that perturbing genes involved in transcription regulation affects the amount of cell-to-cell variability in protein levels, but to date there has been no systematic characterization of variability in expression as a phenotype. In this research, we use single-cell expression levels of two fluorescent reporters driven by two different promoters under a wide range of genetic perturbations in Saccharomyces cerevisiae, to identify proteins that affect variability in the expression of these reporters. We introduce computational methodology to determine the variability caused by each perturbation and distinguish between global variability, which affects both reporters in a coordinated manner (e.g., due to cell size variability), and local variability, which affects the individual reporters independently (e.g., due to stochastic events in transcription initiation). Classifying genes by their variability phenotype (the effect of their deletion on reporter variability) identifies functionally coherent groups, which broadly correlate with the different stages of transcriptional regulation. Specifically, we find that most processes whose perturbation affects global variability are related to protein synthesis, protein transport, and cell morphology, whereas most processes whose perturbations affect local variability are related to DNA maintenance, chromatin regulation, and RNA synthesis. Moreover, we demonstrate that the variability phenotypes of different protein complexes provide insights into their cellular functions. Our results establish the utility of variability phenotype for dissecting the regulatory mechanisms involved in gene expression.
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