Evidence map›Paper›PMID 25490747›Full record

ArticlePLoS biology2014

The robustness of a signaling complex to domain rearrangements facilitates network evolution.

Paloma M Sato, Kogulan Yoganathan, Jae H Jung, Sergio G Peisajovich

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 21 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

4 authors at 1 institution in 1 country.

Paloma M SatoDepartment of Cell and Systems Biology, and Centre for the Analysis of Genome Evolution and Function, University of Toronto, Toronto, Ontario, Canada.
Kogulan YoganathanDepartment of Cell and Systems Biology, and Centre for the Analysis of Genome Evolution and Function, University of Toronto, Toronto, Ontario, Canada.
Jae H JungDepartment of Cell and Systems Biology, and Centre for the Analysis of Genome Evolution and Function, University of Toronto, Toronto, Ontario, Canada.
Sergio G PeisajovichDepartment of Cell and Systems Biology, and Centre for the Analysis of Genome Evolution and Function, University of Toronto, Toronto, Ontario, Canada.
University of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rearrangement of protein domains is known to have key roles in the evolution of signaling networks and, consequently, is a major tool used to synthetically rewire networks. However, natural mutational events leading to the creation of proteins with novel domain combinations, such as in frame fusions followed by domain loss, retrotranspositions, or translocations, to name a few, often simultaneously replace pre-existing genes. Thus, while proteins with new domain combinations may establish novel network connections, it is not clear how the concomitant deletions are tolerated. We investigated the mechanisms that enable signaling networks to tolerate domain rearrangement-mediated gene replacements. Using as a model system the yeast mitogen activated protein kinase (MAPK)-mediated mating pathway, we analyzed 92 domain-rearrangement events affecting 11 genes. Our results indicate that, while domain rearrangement events that result in the loss of catalytic activities within the signaling complex are not tolerated, domain rearrangements can drastically alter protein interactions without impairing function. This suggests that signaling complexes can maintain function even when some components are recruited to alternative sites within the complex. Furthermore, we also found that the ability of the complex to tolerate changes in interaction partners does not depend on long disordered linkers that often connect domains. Taken together, our results suggest that some signaling complexes are dynamic ensembles with loose spatial constraints that could be easily re-shaped by evolution and, therefore, are ideal targets for cellular engineering.

Indexed as

Protein Interaction MapsSignal TransductionEvolution, MolecularGene RearrangementGenes, Mating Type, FungalMitogen-Activated Protein KinasesProtein BindingProtein Interaction Domains and MotifsProtein Structure, TertiarySaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsMitogen-Activated Protein KinasesSaccharomyces cerevisiae Proteins

Identifiers

PMID25490747
PMCPMC4260825
OpenAlexW2046268781

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.