Evidence map›Paper›PMID 34982769›Full record

ArticlePLoS genetics2022

Gene by Environment Interactions reveal new regulatory aspects of signaling network plasticity.

Matthew D Vandermeulen, Paul J Cullen

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2022. 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
1.0field-weighted citation impact, top 26% 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, 12 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

2 authors at 1 institution in 1 country.

Matthew D VandermeulenDepartment of Biological Sciences, University at Buffalo, Buffalo, New York, United States of America.ORCID 0000-0002-9097-7629
Paul J CullenDepartment of Biological Sciences, University at Buffalo, Buffalo, New York, United States of America.ORCID 0000-0002-6703-1480
University at Buffalo, State University of New York · US

Funding

Control of MAPK Signaling by Cell Polarity ProteinsR01GM098629 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI CULLEN, PAUL JAMES · 2011 to 2024
$4.4M
NIGMS NIH HHS R01 GM098629
6 · The paper itself

Abstract

Phenotypes can change during exposure to different environments through the regulation of signaling pathways that operate in integrated networks. How signaling networks produce different phenotypes in different settings is not fully understood. Here, Gene by Environment Interactions (GEIs) were used to explore the regulatory network that controls filamentous/invasive growth in the yeast Saccharomyces cerevisiae. GEI analysis revealed that the regulation of invasive growth is decentralized and varies extensively across environments. Different regulatory pathways were critical or dispensable depending on the environment, microenvironment, or time point tested, and the pathway that made the strongest contribution changed depending on the environment. Some regulators even showed conditional role reversals. Ranking pathways' roles across environments revealed an under-appreciated pathway (OPI1) as the single strongest regulator among the major pathways tested (RAS, RIM101, and MAPK). One mechanism that may explain the high degree of regulatory plasticity observed was conditional pathway interactions, such as conditional redundancy and conditional cross-pathway regulation. Another mechanism was that different pathways conditionally and differentially regulated gene expression, such as target genes that control separate cell adhesion mechanisms (FLO11 and SFG1). An exception to decentralized regulation of invasive growth was that morphogenetic changes (cell elongation and budding pattern) were primarily regulated by one pathway (MAPK). GEI analysis also uncovered a round-cell invasion phenotype. Our work suggests that GEI analysis is a simple and powerful approach to define the regulatory basis of complex phenotypes and may be applicable to many systems.

Indexed as

Gene Regulatory NetworksAdaptation, PhysiologicalGene-Environment InteractionGene Expression Regulation, FungalPhenotypeRepressor ProteinsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSignal TransductionOPI1 protein, S cerevisiaeRepressor ProteinsSaccharomyces cerevisiae Proteins

Identifiers

PMID34982769
PMCPMC8759647
OpenAlexW4206399077

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.