Evidence map›Paper›PMID 17426379›Full record

ArticleJournal of biosciences2007

Genome inventory and analysis of nuclear hormone receptors in Tetraodon nigroviridis.

Raghu Prasad Rao Metpally, Ramakrishnan Vigneshwar, Ramanathan Sowdhamini

Erratum issuedAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of biosciences, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Raghu Prasad Rao MetpallyNational Centre for Biological Sciences, Tata Institute of Fundamental Research, UAS-GKVK Campus, Bellary Road, Bangalore 560 065, India.
Ramakrishnan Vigneshwar
Ramanathan Sowdhamini
National Centre for Biological Sciences · INTata Institute of Fundamental Research · IN

Funding

Wellcome Trust
6 · The paper itself

Abstract

Nuclear hormone receptors (NRs) form a large superfamily of ligand-activated transcription factors, which regulate genes underlying a wide range of (patho) physiological phenomena. Availability of the full genome sequence of Tetraodon nigroviridis facilitated a genome wide analysis of the NRs in fish genome. Seventy one NRs were found in Tetraodon and were compared with mammalian and fish NR family members. In general, there is a higher representation of NRs in fish genomes compared to mammalian ones. They showed high diversity across classes as observed by phylogenetic analysis. Nucleotide substitution rates show strong negative selection among fish NRs except for pregnane x receptor (PxR), estrogen receptor (ER) and liver x receptor (LxR). This may be attributed to crucial role played by them in metabolism and detoxification of xenobiotic and endobiotic compounds and might have resulted in slight positive selection. Chromosomal mapping and pairwise comparisons of NR distribution in Tetraodon and humans led to the identification of nine syntenic NR regions, of which three are common among fully sequenced vertebrate genomes. Gene structure analysis shows strong conservation of exon structures among orthologoues. Whereas paralogous members show different splicing patterns with intron gain or loss and addition or substitution of exons played a major role in evolution of NR superfamily.

Indexed as

Alternative SplicingAnimalsChromosome MappingEvolution, MolecularExonsGenomeHumansIntronsPhylogenyProtein Structure, TertiaryReceptors, Cytoplasmic and NuclearSyntenyTetraodontiformesReceptors, Cytoplasmic and Nuclear

Identifiers

PMID17426379
OpenAlexW2077148362

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.