Evidence map›Paper›PMID 31556489›Full record

ArticleMolecular systems biology2019

p53 pulse modulation differentially regulates target gene promoters to regulate cell fate decisions.

Marie D Harton, Woo Seuk Koh, Amie D Bunker, Abhyudai Singh, Eric Batchelor

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.3field-weighted citation impact, top 10% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 42 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Marie D HartonLaboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Woo Seuk KohLaboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Amie D BunkerLaboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Abhyudai SinghDepartment of Electrical and Computer Engineering, Department of Biomedical Engineering, Department of Mathematical Sciences, and Center for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, USA.
Eric BatchelorLaboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0003-3870-5615
National Institutes of Health · USUniversity of Delaware · US

Funding

Systems-level analysis of the regulation and function of p53 dynamicsZIABC011382 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI BATCHELOR, ERIC · 2011 to 2020
$5.8M
Consequences and Control of Randomness in Timing of Intracellular EventsR01GM124446 · NIGMS · UNIVERSITY OF DELAWARE · PI SINGH, ABHYUDAI · 2017 to 2020
$914k
Stochastic hybrid systems approach to uncovering cell-size control mechanisms R01GM126557 · NIGMS · UNIVERSITY OF DELAWARE · PI SINGH, ABHYUDAI · 2017 to 2019
$675k
Intramural NIH HHS ZIA BC011382NIGMS NIH HHS R01 GM124446NIGMS NIH HHS R01 GM126557
6 · The paper itself

Abstract

The p53 tumor suppressor regulates distinct responses to cellular stresses. Although different stresses generate different p53 dynamics, the mechanisms by which cells decode p53 dynamics to differentially regulate target genes are not well understood. Here, we determined in individual cells how canonical p53 target gene promoters vary in responsiveness to features of p53 dynamics. Employing a chemical perturbation approach, we independently modulated p53 pulse amplitude, duration, or frequency, and we then monitored p53 levels and target promoter activation in individual cells. We identified distinct signal processing features-thresholding in response to amplitude modulation, a refractory period in response to duration modulation, and dynamic filtering in response to frequency modulation. We then showed that the signal processing features not only affect p53 target promoter activation, they also affect p53 regulation and downstream cellular functions. Our study shows how different promoters can differentially decode features of p53 dynamics to generate distinct responses, providing insight into how perturbing p53 dynamics can be used to generate distinct cell fates.

Indexed as

Tumor Suppressor Protein p53Cell Cycle CheckpointsComputational BiologyGene Expression RegulationHEK293 CellsHumansMCF-7 CellsMicrofluidic Analytical TechniquesPromoter Regions, GeneticSignal TransductionTranscription FactorsTranscription FactorsTumor Suppressor Protein p53gene regulationmicrofluidicsp53single celltranscription factor dynamics

Identifiers

PMID31556489
PMCPMC6761572
OpenAlexW2976277219

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.