Evidence map›Paper›PMID 19571007›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2009

Independent elaboration of steroid hormone signaling pathways in metazoans.

Gabriel V Markov, Raquel Tavares, Chantal Dauphin-Villemant, Barbara A Demeneix, Michael E Baker, Vincent Laudet

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
8.4field-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

53 citing papers in PubMed, 185 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

6 authors at 6 institutions in 2 countries.

Gabriel V MarkovMolecular Zoology Team, Institut de Génomique Fonctionnelle de Lyon, Université de Lyon, Université Lyon 1 and Centre National de Recherche Scientifique, Institut National de Recherche Agronomique, Ecole Normale Supérieure de Lyon, Lyon Cedex 07, France.
Raquel Tavares
Chantal Dauphin-Villemant
Barbara A Demeneix
Michael E Baker
Vincent Laudet
Centre National de la Recherche Scientifique · FRÉcole Normale Supérieure de Lyon · FREvolution des Régulations Endocriniennes · FRSorbonne Université · FRUniversité Claude Bernard Lyon 1 · FRUniversity of California San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Steroid hormones regulate many physiological processes in vertebrates, nematodes, and arthropods through binding to nuclear receptors (NR), a metazoan-specific family of ligand-activated transcription factors. The main steps controlling the diversification of this family are now well-understood. In contrast, the origin and evolution of steroid ligands remain mysterious, although this is crucial for understanding the emergence of modern endocrine systems. Using a comparative genomic approach, we analyzed complete metazoan genomes to provide a comprehensive view of the evolution of major enzymatic players implicated in steroidogenesis at the whole metazoan scale. Our analysis reveals that steroidogenesis has been independently elaborated in the 3 main bilaterian lineages, and that steroidogenic cytochrome P450 enzymes descended from those that detoxify xenobiotics.

Indexed as

Evolution, MolecularSignal TransductionAnimalsCytochrome P-450 Enzyme SystemGene DuplicationHormonesLigandsLikelihood FunctionsModels, GeneticOxidoreductasesPhylogenySpecies SpecificitySteroidsVertebratesCytochrome P-450 Enzyme SystemHormonesLigandsOxidoreductasesSteroids

Identifiers

PMID19571007
PMCPMC2715501
OpenAlexW2031116735

What OpenQuestion holds

Textmetadata
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.