Evidence map›Paper›PMID 19179357›Full record

ArticleBioinformatics (Oxford, England)2009

SECISaln, a web-based tool for the creation of structure-based alignments of eukaryotic SECIS elements.

Charles E Chapple, Roderic Guigó, Alain Krol

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

  1. Article
  2. Molecular characterization and expression analysis of selenoprotein W gene in rainbow trout (Oncorhynchus mykiss) with dietary selenium levels.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2022
    Article
  3. Article
  4. Bioinformatics of Selenoproteins.Antioxidants & redox signaling · 2020
    Review
  5. Microorganisms · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Eukaryotic selenoproteins and selenoproteomes.Biochimica et biophysica acta · 2009
    Review
  18. Article
  19. Article
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

3 authors.

Charles E ChappleInstitut Municipal d'Investigació Mèdica, Universitat Pompeu Fabra and Parc de Recerca Biomedica de Barcelona, Carrer del Doctor Aiguader 88, 08003, Barcelona, Catalonia, Spain. charles.chapple@crg.es
Roderic Guigó
Alain Krol

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

summarySelenoproteins contain the 21st amino acid selenocysteine which is encoded by an inframe UGA codon, usually read as a stop. In eukaryotes, its co-translational recoding requires the presence of an RNA stem-loop structure, the SECIS element in the 3 untranslated region of (UTR) selenoprotein mRNAs. Despite little sequence conservation, SECIS elements share the same overall secondary structure. Until recently, the lack of a significantly high number of selenoprotein mRNA sequences hampered the identification of other potential sequence conservation. In this work, the web-based tool SECISaln provides for the first time an extensive structure-based sequence alignment of SECIS elements resulting from the well-defined secondary structure of the SECIS RNA and the increased size of the eukaryotic selenoproteome. We have used SECISaln to improve our knowledge of SECIS secondary structure and to discover novel, conserved nucleotide positions and we believe it will be a useful tool for the selenoprotein and RNA scientific communities. AVAILABILITY: SECISaln is freely available as a web-based tool at http://genome.crg.es/software/secisaln/.

Indexed as

Software3' Untranslated RegionsBase SequenceCodon, TerminatorComputational BiologyEukaryotic CellsInternetMolecular Sequence DataNucleic Acid ConformationProtein Structure, SecondaryRNASelenoproteins3' Untranslated RegionsCodon, TerminatorRNASelenoproteins

Identifiers

PMID19179357
PMCPMC2647825

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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.