Evidence map›Paper›PMID 18174224›Full record

ArticleNucleic acids research2008

SelenoDB 1.0 : a database of selenoprotein genes, proteins and SECIS elements.

Sergi Castellano, Vadim N Gladyshev, Roderic Guigó, Marla J Berry

Abstract read
In one paragraph

Article in Nucleic acids research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Engineered mRNA-ribosome fusions for facile biosynthesis of selenoproteins.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Article
  5. Bioinformatics of Selenoproteins.Antioxidants & redox signaling · 2020
    Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Nutrigenetics, nutrigenomics, and selenium.Frontiers in genetics · 2011
    Article
  17. Article
  18. Article
  19. dbTEU: a protein database of trace element utilization.Bioinformatics (Oxford, England) · 2010
    Article
  20. 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

4 authors.

Sergi CastellanoDepartment of Cell and Molecular Biology, University of Hawaii at Manoa, Honolulu, Hawaii, USA. castellanos@janelia.hhmi.org
Vadim N Gladyshev
Roderic Guigó
Marla J Berry

Funding

MECHANISM OF SELENOPROTEIN SYNTHESIS IN EUKARYOTESR01DK047320 · NIDDK · UNIVERSITY OF HAWAII AT MANOA · PI BERRY, MARLA J · 1994 to 2020
$5.8M
IDENTITY OF TERMINATOR AND SELENOCYSTEINE UGA CODONSR01GM061603 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI GLADYSHEV, VADIM N. · 2000 to 2016
$4.0M
ALTERNATIVE MECHANISMS OF UGA CODON RECOGNITIONR01DK052963 · NIDDK · UNIVERSITY OF HAWAII AT MANOA · PI BERRY, MARLA J · 1997 to 2005
$1.4M
MECHANISM OF SELENOPROTEIN SYNTHESISR56DK047320 · NIDDK · UNIVERSITY OF HAWAII AT MANOA · PI BERRY, MARLA J · 2009 to 2009
$368k
NIDDK NIH HHS DK47320NIDDK NIH HHS DK52963NIDDK NIH HHS R01 DK047320NIDDK NIH HHS R01 DK052963NIDDK NIH HHS R56 DK047320NIGMS NIH HHS GM061603NIGMS NIH HHS R01 GM061603
6 · The paper itself

Abstract

Selenoproteins are a diverse group of proteins usually misidentified and misannotated in sequence databases. The presence of an in-frame UGA (stop) codon in the coding sequence of selenoprotein genes precludes their identification and correct annotation. The in-frame UGA codons are recoded to cotranslationally incorporate selenocysteine, a rare selenium-containing amino acid. The development of ad hoc experimental and, more recently, computational approaches have allowed the efficient identification and characterization of the selenoproteomes of a growing number of species. Today, dozens of selenoprotein families have been described and more are being discovered in recently sequenced species, but the correct genomic annotation is not available for the majority of these genes. SelenoDB is a long-term project that aims to provide, through the collaborative effort of experimental and computational researchers, automatic and manually curated annotations of selenoprotein genes, proteins and SECIS elements. Version 1.0 of the database includes an initial set of eukaryotic genomic annotations, with special emphasis on the human selenoproteome, for immediate inspection by selenium researchers or incorporation into more general databases. SelenoDB is freely available at http://www.selenodb.org.

Indexed as

Databases, Protein3' Untranslated RegionsGenomicsHumansInternetSelenoproteinsSequence Analysis, ProteinSequence Analysis, RNAUser-Computer Interface3' Untranslated RegionsSelenoproteins

Identifiers

PMID18174224
PMCPMC2238826

What OpenQuestion holds

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LicenceCC BY-NC
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.