ArticleThe European physical journal. E, Soft matter2015
Single-cell protein dynamics reproduce universal fluctuations in cell populations.
Article in The European physical journal. E, Soft matter, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Emergent Homeostasis and Degeneracy From Multi-Dimensional Attractors.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026Review
- Fundamental errors in RNA velocity arising from the omission of cell growth.bioRxiv : the preprint server for biology · 2025Article
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- The Brain's Best Kept Secret Is Its Degenerate Structure.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Review
- Bacterial cell-size changes resulting from altering the relative expression of Min proteins.Nature communications · 2023Article
- Robust replication initiation from coupled homeostatic mechanisms.Nature communications · 2022Article
- Multiple timescales in bacterial growth homeostasis.iScience · 2022Article
- Characterizing non-exponential growth and bimodal cell size distributions in fission yeast: An analytical approach.PLoS computational biology · 2022Article
- Threshold accumulation of a constitutive protein explainsProceedings of the National Academy of Sciences of the United States of America · 2021Article
- Article
- Article
- Effects of cell cycle variability on lineage and population measurements of messenger RNA abundance.Journal of the Royal Society, Interface · 2020Article
- Phenotypic delay in the evolution of bacterial antibiotic resistance: Mechanistic models and their implications.PLoS computational biology · 2020Article
- High-throughput detection and tracking of cells and intracellular spots in mother machine experiments.Nature protocols · 2019Article
- Geometric Effect for Biological Reactors and Biological Fluids.Bioengineering (Basel, Switzerland) · 2018Review
- Stochastic protein multimerization, activity, and fitness.Physical review. E · 2018Article
- Homeostasis of protein and mRNA concentrations in growing cells.Nature communications · 2018Article
- Cellular function given parametric variation in the Hodgkin and Huxley model of excitability.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Individuality and slow dynamics in bacterial growth homeostasis.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Making sense of snapshot data: ergodic principle for clonal cell populations.Journal of the Royal Society, Interface · 2017Article
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6 authors.
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Abstract
Protein variability in single cells has been studied extensively in populations, but little is known about temporal protein fluctuations in a single cell over extended times. We present here traces of protein copy number measured in individual bacteria over multiple generations and investigate their statistical properties, comparing them to previously measured population snapshots. We find that temporal fluctuations in individual cells exhibit the same properties as those previously observed in populations. Scaled fluctuations around the mean of each trace exhibit the universal distribution shape measured in populations under a wide range of conditions and in two distinct microorganisms; the mean and variance of the traces over time obey the same quadratic relation. Analyzing the individual protein traces reveals that within a cell cycle protein content increases exponentially, with a rate that varies from cycle to cycle. This leads to a compact description of the trace as a 3-variable stochastic process -exponential rate, cell cycle duration and value at the cycle start- sampled once a cycle. This description is sufficient to reproduce both universal statistical properties of the protein fluctuations. Our results show that the protein distribution shape is insensitive to sub-cycle intracellular microscopic details and reflects global cellular properties that fluctuate between generations.
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