Evidence map›Paper›PMID 38106069›Full record

ArticlebioRxiv : the preprint server for biology2023

Phenotypic consequences of logarithmic signaling in MAPK stress response.

Hossein Jashnsaz, Gregor Neuert

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Hossein JashnsazDepartment of Molecular Physiology and Biophysics, School of Medicine, Vanderbilt University, Nashville, TN 37232 USA.
Gregor NeuertDepartment of Molecular Physiology and Biophysics, School of Medicine, Vanderbilt University, Nashville, TN 37232 USA.ORCID 0000-0002-8928-6425
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
High-Performance Computer Cluster for Biomedical ResearchS10OD023680 · OD · VANDERBILT UNIVERSITY · PI MEILER, JENS · 2017 to 2017
$587k
NIGMS NIH HHS DP2 GM114849NIGMS NIH HHS R01 GM115892NIGMS NIH HHS R01 GM140240NIH HHS S10 OD023680
6 · The paper itself

Abstract

How cells respond to dynamic environmental changes is crucial for understanding fundamental biological processes and cell physiology. In this study, we developed an experimental and quantitative analytical framework to explore how dynamic stress gradients that change over time regulate cellular volume, signaling activation, and growth phenotypes. Our findings reveal that gradual stress conditions substantially enhance cell growth compared to conventional acute stress. This growth advantage correlates with a minimal reduction in cell volume dependent on the dynamic of stress. We explain the growth phenotype with our finding of a logarithmic signal transduction mechanism in the yeast Mitogen-Activated Protein Kinase (MAPK) osmotic stress response pathway. These insights into the interplay between gradual environments, cell volume change, dynamic cell signaling, and growth, advance our understanding of fundamental cellular processes in gradual stress environments.

Indexed as

Cell GrowthCell StressCell VolumeDynamic Cell SignalingGradual EnvironmentsMAPK Hog1

Identifiers

PMID38106069
PMCPMC10723343
OpenAlexW4389461757

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.