Evidence map›Paper›PMID 16738935›Full record

ArticleImmunogenetics2006

Genomic structure, promoter analysis, and expression of the porcine (Sus scrofa) Mx1 gene.

Anne V Thomas, Melanie Palm, Aurore D Broers, Hussein Zezafoun, Daniel J-M Desmecht

Abstract read
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In one paragraph

Article in Immunogenetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed, 25 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

5 authors at 1 institution in 1 country.

Anne V ThomasDepartment of Pathology, Faculty of Veterinary Medicine, University of Liege, Sart Tilman B43, Liège, 4000, Belgium.
Melanie Palm
Aurore D Broers
Hussein Zezafoun
Daniel J-M Desmecht
University of Liège · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allelic polymorphisms at the mouse Mx1 locus affect the probability of survival after experimental influenzal disease, raising the possibility that marker-assisted selection using the homologous locus could improve the innate resistance of pigs to natural influenza infections. Several issues need to be resolved before efficient large scale screening of the allelic polymorphism at the porcine (Sus scrofa) Mx1 locus can be implemented. First, the Mx1 genomic structure has to be established and sufficient flanking intronic sequences have to be gathered to enable simple PCR amplification of the coding portions of the gene. Then, a basic knowledge of the promoter region needs to be obtained as an allelic variation there can significantly alter absolute levels and/or tissue-specificity of MX protein expression. The results gathered here show that the porcine Mx1 gene and promoter share the major structural and functional characteristics displayed by their homologs described in cattle, mouse, chicken, and man. The crucial function of the proximal interferon-sensitive response elements motif for gene expression is also demonstrated. The sequence data compiled here will allow an extensive analysis of the polymorphisms present among the widest spectrum possible of porcine breeds with the aim to identify an Mx1 allele providing antiviral resistance.

Indexed as

Amino Acid SequenceAnimalsCattleGene ExpressionGenomeGTP-Binding ProteinsHumansMiceMolecular Sequence DataMyxovirus Resistance ProteinsOrthomyxoviridae InfectionsPolymorphism, GeneticPromoter Regions, GeneticSus scrofaGTP-Binding ProteinsMx1 protein, mouseMyxovirus Resistance Proteins

Identifiers

PMID16738935
OpenAlexW2072908080

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.