Evidence map›Paper›PMID 37305409›Full record

ArticleFrontiers in cellular and infection microbiology2023

Molecular characterization of Sm

Xuesong Li, Oliver Weth, Simone Haeberlein, Christoph G Grevelding

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2023. 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
7.6field-weighted citation impact, top 2% 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, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Xuesong LiInstitute for Parasitology, Biomedical Research Center Seltersberg (BFS), Justus Liebig University, Giessen, Germany.
Oliver WethInstitute for Parasitology, Biomedical Research Center Seltersberg (BFS), Justus Liebig University, Giessen, Germany.
Simone HaeberleinInstitute for Parasitology, Biomedical Research Center Seltersberg (BFS), Justus Liebig University, Giessen, Germany.
Christoph G GreveldingInstitute for Parasitology, Biomedical Research Center Seltersberg (BFS), Justus Liebig University, Giessen, Germany.
Justus-Liebig-Universität Gießen · DE

Funding

Wellcome Trust
6 · The paper itself

Abstract

Introduction: Schistosomes are the only mammalian flatworms that have evolved separate sexes. A key question of schistosome research is the male-dependent sexual maturation of the female since a constant pairing contact with a male is required for the onset of gonad development in the female. Although this phenomenon is long known, only recently a first peptide-based pheromone of males was identified that contributes to the control of female sexual development. Beyond this, our understanding of the molecular principles inducing the substantial developmental changes in a paired female is still rudimentary. Objectives: Previous transcriptomic studies have consistently pointed to neuronal genes being differentially expressed and upregulated in paired males. These genes included Smp_135230 and Smp_171580, both annotated as aromatic-L-amino-acid decarboxylases (DOPA decarboxylases). Here, we characterized both genes and investigated their roles in male-female interaction of Methodologies/findings: Sequence analyses indicated that Smp_135230 represents an L-tyrosine decarboxylase (Sm Conclusion: Our results suggest that Sm

Indexed as

Schistosoma mansoniSchistosomatidaeAnimalsCell DifferentiationFemaleGene Expression ProfilingMaleMammalsSexual Maturationaromatic-L-amino-acid decarboxylasebiogenic aminegonad differentiationL-tyrosine decarboxylasemale-female interactionneuronal signallingSchistosoma mansoni

Identifiers

PMID37305409
PMCPMC10252128
OpenAlexW4378471353

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.