ArticleNature2013
Dynamics extracted from fixed cells reveal feedback linking cell growth to cell cycle.
Article in Nature, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 132 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
132 citing papers in PubMed.
- Inferring feedback regulation from static snapshots of a single signal.Biochemistry and biophysics reports · 2026Article
- CD8 T lymphocytes deploy embryonic cell cycle control mechanisms for rapid cell proliferation.EMBO reports · 2026Article
- Adrenal rather than central dysfunction limits hypothalamic-pituitary-adrenal axis recovery after chronic glucocorticoid treatment in male mice.Endocrinology · 2026Article
- Cell shapes decode molecular phenotypes in image-based spatial proteomics.Cell systems · 2026Article
- Temporal tissue dynamics from a spatial snapshot.Nature · 2026Article
- Cell Population Dynamics Informed by Cell-Cycle Regulation: A Deterministic Modeling Toolkit.Computational and structural biotechnology journal · 2026Review
- Generalizable morphological profiling of cells by interpretable unsupervised learning.Nature communications · 2025Article
- High-throughput single-cell density measurements enable dynamic profiling of immune cell and drug response from patient samples.Nature biomedical engineering · 2025Article
- The Hox Gene,Molecular biology of the cell · 2025Article
- Dynamic modelling of cell cycle arrest through integrated single-cell and mathematical modelling approaches.PLoS computational biology · 2025Article
- MAPK and mTORC1 signaling converge to drive cyclin D1 protein production to enable cell cycle reentry in melanoma persister cells.Science signaling · 2025Article
- The Hox Gene,bioRxiv : the preprint server for biology · 2025Article
- Specific origin selection and excess functional MCM2-7 loading in ORC-deficient cells.Nucleic acids research · 2025Article
- Stochastic gene expression in proliferating cells: Differing noise intensity in single-cell and population perspectives.PLoS computational biology · 2025Article
- Oversized cells activate global proteasome-mediated protein degradation to maintain cell size homeostasis.eLife · 2025Article
- Uncoupling of mTORC1 from E2F activity maintains DNA damage and senescence.Nature communications · 2024Article
- Coupling of cell growth modulation to asymmetric division and cell cycle regulation inProceedings of the National Academy of Sciences of the United States of America · 2024Article
- Eukaryotic cell size regulation and its implications for cellular function and dysfunction.Physiological reviews · 2024Review
- Stochastic Gene Expression in Proliferating Cells: Differing Noise Intensity in Single-Cell and Population Perspectives.bioRxiv : the preprint server for biology · 2024Article
- Short cell cycle duration is a phenotype of human epidermal stem cells.Stem cell research & therapy · 2024Article
72 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Biologists have long been concerned about what constrains variation in cell size, but progress in this field has been slow and stymied by experimental limitations. Here we describe a new method, ergodic rate analysis (ERA), that uses single-cell measurements of fixed steady-state populations to accurately infer the rates of molecular events, including rates of cell growth. ERA exploits the fact that the number of cells in a particular state is related to the average transit time through that state. With this method, it is possible to calculate full time trajectories of any feature that can be labelled in fixed cells, for example levels of phosphoproteins or total cellular mass. Using ERA we find evidence for a size-discriminatory process at the G1/S transition that acts to decrease cell-to-cell size variation.
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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.