ArticleCell systems2020
Quantifying the Central Dogma in the p53 Pathway in Live Single Cells.
Article in Cell systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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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.
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Who cites it
27 citing papers in PubMed, 40 citations in OpenAlex.
- Single-cell transcriptional dynamics in a living vertebrate.Cell systems · 2026Article
- Review
- Graded versus ON/OFF control in quantitative gene expression and epigenetic memory.The EMBO journal · 2026Review
- Quantifying single-cell responses to irradiation in 3D.Frontiers in bioengineering and biotechnology · 2026Article
- Decoding the Central Dogma: Quantitative Insights into Transcription and Translation Dynamics in the p53-Mediated DNA Damage Response.Journal of molecular biology · 2026Review
- JNK activation dynamics drive distinct gene expression patterns over time mediated by mRNA stability.NPJ systems biology and applications · 2025Article
- The Hill-Type Equation Reveals the Regulatory Principle of Target Protein Expression Led by p53 Pulsing.FASEB bioAdvances · 2025Article
- p53 reveals principles of chromatin remodeling and enhancer activation.Nucleic acids research · 2025Article
- Cell confluency affects p53 dynamics in response to DNA damage.Molecular biology of the cell · 2025Article
- Linking signaling dynamics and cell fate decisions through single-cell imaging: evidence and challenges.Frontiers in cell and developmental biology · 2025Review
- Decoding stimulus-specific regulation of promoter activity of p53 target genes.Frontiers in cell and developmental biology · 2025Article
- Time will tell: comparing timescales to gain insight into transcriptional bursting.Trends in genetics : TIG · 2024Review
- Identification of genes with oscillatory expression in glioblastoma: the paradigm of SOX2.Scientific reports · 2024Article
- A dual role of RBM42 in modulating splicing and translation of CDKN1A/p21 during DNA damage response.Nature communications · 2023Article
- Minimal synthetic enhancers reveal control of the probability of transcriptional engagement and its timing by a morphogen gradient.Cell systems · 2023Article
- Long-term p21 and p53 dynamics regulate the frequency of mitosis events and cell cycle arrest following radiation damage.Cell death and differentiation · 2023Article
- Review
- Regulatory Mechanisms for Transcriptional Bursting Revealed by an Event-Based Model.Research (Washington, D.C.) · 2023Article
- Inferring gene regulation from stochastic transcriptional variation across single cells at steady state.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Unraveling the effect of intra- and intercellular processes on acetaminophen-induced liver injury.NPJ systems biology and applications · 2022Article
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 at 3 institutions in 1 country.
Funding
Abstract
Transcription factors (TFs) integrate signals to regulate target gene expression, but we generally lack a quantitative understanding of how changes in TF levels regulate mRNA and protein production. Here, we established a system to simultaneously monitor the levels of p53, a TF that shows oscillations following DNA damage, and the transcription and protein levels of its target p21 in individual cells. p21 transcription tracked p53 dynamics, while p21 protein steadily accumulated. p21 transcriptional activation showed bursts of mRNA production, with p53 levels regulating the probability but not magnitude of activation. Variations in p53 levels between cells contributed to heterogeneous p21 transcription while independent p21 alleles exhibited highly correlated behaviors. Pharmacologically elevating p53 increased the probability of p21 transcription with minor effects on its magnitude, leading to a strong increase in p21 protein levels. Our results reveal quantitative mechanisms by which TF dynamics can regulate protein levels of its targets. A record of this paper's transparent peer review process is included in the Supplemental Information.
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What OpenQuestion holds
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.