ArticleBiophysical journal2014
Contributions of cell growth and biochemical reactions to nongenetic variability of cells.
Article in Biophysical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 44 citations in OpenAlex.
- Stochasticity in mammalian cell growth rates drives cell-to-cell variability independently of cell size and divisions.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Stochastic gene expression in proliferating cells: Differing noise intensity in single-cell and population perspectives.PLoS computational biology · 2025Article
- Stochastic Gene Expression in Proliferating Cells: Differing Noise Intensity in Single-Cell and Population Perspectives.bioRxiv : the preprint server for biology · 2024Article
- Concentration fluctuations in growing and dividing cells: Insights into the emergence of concentration homeostasis.PLoS computational biology · 2022Article
- Single cell variability of CRISPR-Cas interference and adaptation.Molecular systems biology · 2022Article
- Coordination of gene expression noise with cell size: analytical results for agent-based models of growing cell populations.Journal of the Royal Society, Interface · 2021Article
- Effects of cell cycle variability on lineage and population measurements of messenger RNA abundance.Journal of the Royal Society, Interface · 2020Article
- Intrinsic and extrinsic noise of gene expression in lineage trees.Scientific reports · 2019Article
- Division rate, cell size and proteome allocation: impact on gene expression noise and implications for the dynamics of genetic circuits.Royal Society open science · 2018Article
- Statistics and simulation of growth of single bacterial cells: illustrations with B. subtilis and E. coli.Scientific reports · 2017Article
- Making sense of snapshot data: ergodic principle for clonal cell populations.Journal of the Royal Society, Interface · 2017Article
- Effects of growth rate and promoter activity on single-cell protein expression.Scientific reports · 2017Article
- Taking chances and making mistakes: non-genetic phenotypic heterogeneity and its consequences for surviving in dynamic environments.Journal of the Royal Society, Interface · 2017Review
- The finite state projection approach to analyze dynamics of heterogeneous populations.Physical biology · 2017Article
- Intercellular Variability in Protein Levels from Stochastic Expression and Noisy Cell Cycle Processes.PLoS computational biology · 2016Article
- Single-Cell Analysis of the Dps Response to Oxidative Stress.Journal of bacteriology · 2016Article
- Degradation Parameters from Pulse-Chase Experiments.PloS one · 2016Article
- Noise in gene expression is coupled to growth rate.Genome research · 2015Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell-to-cell variability in the molecular composition of isogenic, steady-state growing cells arises spontaneously from the inherent stochasticity of intracellular biochemical reactions and cell growth. Here, we present a general decomposition of the total variance in the copy number per cell of a particular molecule. It quantifies the individual contributions made by processes associated with cell growth, biochemical reactions, and their control. We decompose the growth contribution further into variance contributions of random partitioning of molecules at cell division, mother-cell heterogeneity, and variation in cell-cycle progression. The contribution made by biochemical reactions is expressed in variance generated by molecule synthesis, degradation, and their regulation. We use this theory to study the influence of different growth and reaction-related processes, such as DNA replication, variable molecule-partitioning probability, and synthesis bursts, on stochastic cell-to-cell variability. Using simulations, we characterize the impact of noise in the generation-time on cell-to-cell variability. This article offers a widely-applicable theory on the influence of biochemical reactions and cellular growth on the phenotypic variability of growing, isogenic cells. The theory aids the design and interpretation of experiments involving single-molecule counting or real-time imaging of fluorescent reporter constructs.
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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.