Evidence map›Paper›PMID 29346437›Full record

ReviewPLoS pathogens2018

Tissue-specific transcriptome analyses provide new insights into GPCR signalling in adult Schistosoma mansoni.

Steffen Hahnel, Nic Wheeler, Zhigang Lu, Arporn Wangwiwatsin, Paul McVeigh, Aaron Maule, Matthew Berriman, Timothy Day, Paula Ribeiro, Christoph G Grevelding

Open access · goldAbstract readReview
In one paragraph

Review in PLoS pathogens, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 37 citations in OpenAlex.

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  11. Molecular omics · 2022
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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

10 authors at 6 institutions in 4 countries.

Steffen HahnelInstitute of Parasitology, BFS, Justus Liebig University, Giessen, Germany.
Nic WheelerDepartment of Biomedical Sciences, Iowa State University, Ames, Iowa, United States of America.ORCID 0000-0002-5909-4190
Zhigang LuInstitute of Parasitology, BFS, Justus Liebig University, Giessen, Germany.
Arporn WangwiwatsinWellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom.ORCID 0000-0003-4536-4492
Paul McVeighThe Institute for Global Food Security, School of Biological Sciences, Queen's University, Belfast, United Kingdom.
Aaron MauleThe Institute for Global Food Security, School of Biological Sciences, Queen's University, Belfast, United Kingdom.
Matthew BerrimanWellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom.ORCID 0000-0002-9581-0377
Timothy DayDepartment of Biomedical Sciences, Iowa State University, Ames, Iowa, United States of America.
Paula RibeiroInstitute of Parasitology, McGill University, Montreal, Canada.
Christoph G GreveldingInstitute of Parasitology, BFS, Justus Liebig University, Giessen, Germany.ORCID 0000-0002-3144-2026
Iowa State University · USJustus-Liebig-Universität Gießen · DEQueen's University Belfast · GBWellcome Sanger Institute · GBMcGill University · CANorthwestern University · US

Funding

Wellcome Trust
6 · The paper itself

Abstract

Schistosomes are blood-dwelling trematodes with global impact on human and animal health. Because medical treatment is currently based on a single drug, praziquantel, there is urgent need for the development of alternative control strategies. The Schistosoma mansoni genome project provides a platform to study and connect the genetic repertoire of schistosomes to specific biological functions essential for successful parasitism. G protein-coupled receptors (GPCRs) form the largest superfamily of transmembrane receptors throughout the Eumetazoan phyla, including platyhelminths. Due to their involvement in diverse biological processes, their pharmacological importance, and proven druggability, GPCRs are promising targets for new anthelmintics. However, to identify candidate receptors, a more detailed understanding of the roles of GPCR signalling in schistosome biology is essential. An updated phylogenetic analysis of the S. mansoni GPCR genome (GPCRome) is presented, facilitated by updated genome data that allowed a more precise annotation of GPCRs. Additionally, we review the current knowledge on GPCR signalling in this parasite and provide new insights into the potential roles of GPCRs in schistosome reproduction based on the findings of a recent tissue-specific transcriptomic study in paired and unpaired S. mansoni. According to the current analysis, GPCRs contribute to gonad-specific functions but also to nongonad, pairing-dependent processes. The latter may regulate gonad-unrelated functions during the multifaceted male-female interaction. Finally, we compare the schistosome GPCRome to that of another parasitic trematode, Fasciola, and discuss the importance of GPCRs to basic and applied research. Phylogenetic analyses display GPCR diversity in free-living and parasitic platyhelminths and suggest diverse functions in schistosomes. Although their roles need to be substantiated by functional studies in the future, the data support the selection of GPCR candidates for basic and applied studies, invigorating the exploitation of this important receptor class for drug discovery against schistosomes but also other trematodes.

Indexed as

Models, BiologicalSignal TransductionAnimalsAntiplatyhelmintic AgentsFasciolaGene Expression ProfilingGenome, HelminthGenomicsG-Protein-Coupled Receptor KinasesHelminth ProteinsHumansOrgan SpecificityPhylogenyProtein Kinase InhibitorsSchistosoma mansoniAntiplatyhelmintic AgentsG-Protein-Coupled Receptor KinasesHelminth ProteinsProtein Kinase Inhibitors

Identifiers

PMID29346437
PMCPMC5773224
OpenAlexW2783285310

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.