Evidence map›Paper›PMID 37025183›Full record

ReviewFrontiers in cell and developmental biology2023

Rate thresholds in cell signaling have functional and phenotypic consequences in non-linear time-dependent environments.

Alexander Thiemicke, Gregor Neuert

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Phenotypic consequences of logarithmic signaling in MAPK stress response.bioRxiv : the preprint server for biology · 2023
    Article
  8. Review
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

2 authors at 1 institution in 1 country.

Alexander ThiemickeDepartment of Molecular Physiology and Biophysics, School of Medicine, Vanderbilt University, Nashville, TN, United States.
Gregor NeuertDepartment of Molecular Physiology and Biophysics, School of Medicine, Vanderbilt University, Nashville, TN, United States.
Vanderbilt University · US

Funding

DECODING THE NONCODING GENOME: LNCRNA DYNAMICS AND FUNCTION IN SINGLE CELLSDP2GM114849 · NIGMS · VANDERBILT UNIVERSITY · PI NEUERT, GREGOR · 2014 to 2014
$2.4M
Single cell analysis of dynamic gene regulationR01GM140240 · NIGMS · VANDERBILT UNIVERSITY · PI NEUERT, GREGOR · 2021 to 2024
$1.5M
Molecular Mechanism of Gene Transcription ActivationR01GM115892 · NIGMS · VANDERBILT UNIVERSITY · PI NEUERT, GREGOR · 2015 to 2018
$1.2M
NIGMS NIH HHS DP2 GM114849NIGMS NIH HHS R01 GM115892NIGMS NIH HHS R01 GM140240
6 · The paper itself

Abstract

All cells employ signal transduction pathways to respond to physiologically relevant extracellular cytokines, stressors, nutrient levels, hormones, morphogens, and other stimuli that vary in concentration and rate in healthy and diseased states. A central unsolved fundamental question in cell signaling is whether and how cells sense and integrate information conveyed by changes in the rate of extracellular stimuli concentrations, in addition to the absolute difference in concentration. We propose that different environmental changes over time influence cell behavior in addition to different signaling molecules or different genetic backgrounds. However, most current biomedical research focuses on acute environmental changes and does not consider how cells respond to environments that change slowly over time. As an example of such environmental change, we review cell sensitivity to environmental rate changes, including the novel mechanism of rate threshold. A rate threshold is defined as a threshold in the rate of change in the environment in which a rate value below the threshold does not activate signaling and a rate value above the threshold leads to signal activation. We reviewed p38/Hog1 osmotic stress signaling in yeast, chemotaxis and stress response in bacteria, cyclic adenosine monophosphate signaling in Amoebae, growth factors signaling in mammalian cells, morphogen dynamics during development, temporal dynamics of glucose and insulin signaling, and spatio-temproral stressors in the kidney. These reviewed examples from the literature indicate that rate thresholds are widespread and an underappreciated fundamental property of cell signaling. Finally, by studying cells in non-linear environments, we outline future directions to understand cell physiology better in normal and pathophysiological conditions.

Indexed as

cell signalingdynamic environmentsflow cytometryquantitative biologyrate thresholdsingle cellsystems biologytime lapse microscopy

Identifiers

PMID37025183
PMCPMC10072286
OpenAlexW4328111830

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.