Evidence map›Paper›PMID 34286292›Full record

ArticleSTAR protocols2021

Building predictive signaling models by perturbing yeast cells with time-varying stimulations resulting in distinct signaling responses.

Hossein Jashnsaz, Zachary R Fox, Brian Munsky, Gregor Neuert

Abstract read
In one paragraph

Article in STAR protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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

4 authors.

Hossein JashnsazDepartment of Molecular Physiology and Biophysics, School of Medicine, Vanderbilt University, Nashville, TN 37232 USA.
Zachary R FoxInria Paris, Paris 75012, France.
Brian MunskyKeck Scholars, School of Biomedical Engineering, Colorado State University, Fort Collins, CO 80523 USA.
Gregor NeuertDepartment of Molecular Physiology and Biophysics, School of Medicine, Vanderbilt University, Nashville, TN 37232 USA.

Funding

Using cellular fluctuations and computational analyses to probe biological mechanismsR35GM124747 · NIGMS · COLORADO STATE UNIVERSITY · PI Brian Munsky · 2017 to 2026
$3.3M
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 R01 GM115892NIGMS NIH HHS R01 GM140240NIGMS NIH HHS R35 GM124747NIH HHS S10 OD023680
6 · The paper itself

Abstract

This protocol provides a step-by-step approach to perturb single cells with time-varying stimulation profiles, collect distinct signaling responses, and use these to infer a system of ordinary differential equations to capture and predict dynamics of protein-protein regulation in signal transduction pathways. The models are validated by predicting the signaling activation upon new cell stimulation conditions. In comparison to using standard step-like stimulations, application of diverse time-varying cell stimulations results in better inference of model parameters and substantially improves model predictions. For complete details on the use and results of this protocol, please refer to Jashnsaz et al. (2020).

Indexed as

Models, BiologicalSaccharomyces cerevisiaeAlgorithmsSignal TransductionSystems BiologyTime FactorsCell-based AssaysCell BiologyComputer sciencesMicroscopyModel OrganismsSignal TransductionSingle CellSystems biology

Identifiers

PMID34286292
PMCPMC8273411

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.