Evidence map›Paper›PMID 32442167›Full record

ArticlePloS one2020

The membrane receptors that appeared before their ligand: The different proposed scenarios.

Anna Grandchamp, Philippe Monget

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

6 citing papers in PubMed, 11 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.

Anna GrandchampPRC, UMR85, INRA, CNRS, IFCE, Université de Tours, Nouzilly, France.ORCID 0000-0003-3018-3138
Philippe MongetPRC, UMR85, INRA, CNRS, IFCE, Université de Tours, Nouzilly, France.
Université de Tours · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interactions between membrane receptors and their endogenous ligands are key interactions in organisms. Recently, we have shown that a high number of genes encoding human receptors appeared at the same moment as their ligand in the animal tree of life. However, a set of receptors appeared before their present ligand. Different scenarios have been proposed to explain how a receptor can be conserved if its ligand is not yet appeared. However, these scenarios have been proposed individually and have never been studied in a global way. In this study, we investigated 30 mammalian pairs of ligand/receptor for which the first ligand appeared after its receptor in the tree of life, by using common indexes of selection, and proposed different scenarios explaining the earlier appearance of a receptor relative to its ligand. Based on 3D structural studies, our indexes allowed us to classify the evolution of these partners into different scenarios: 1) a scenario where the binding interface of the receptor is already present and under purifying selection before the appearance of the ligand; 2) a scenario where the binding interface seems to have appeared progressively, and 3) a scenario where the binding site seems to have been reshuffled since its appearance. As some scenarios were confirmed by the literature, we concluded that simple indexes can give a good highlight of the evolutive history of two partners that did not appear at the same time. Based on these scenarios, we also hypothesize that the replacement of a ligand by another is a frequent phenomenon during evolution.

Indexed as

Evolution, MolecularLigandsReceptors, Cell SurfaceAmino Acid SequenceAnimalsBinding SitesComputer SimulationHumansModels, MolecularMolecular ConformationProtein BindingLigandsReceptors, Cell Surface

Identifiers

PMID32442167
PMCPMC7244123
OpenAlexW3027749663

What OpenQuestion holds

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LicenceCC BY
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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.