Evidence map›Paper›PMID 15608268›Full record

ArticleNucleic acids research2005

HOPPSIGEN: a database of human and mouse processed pseudogenes.

Adel Khelifi, Khelifi Adel, Laurent Duret, Duret Laurent, Dominique Mouchiroud, Mouchiroud Dominique

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Nucleic acids research, 2005. 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 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

28 citing papers in PubMed, 73 citations in OpenAlex.

  1. Article
  2. Article
  3. Computational Methods for Pseudogene Annotation Based on Sequence Homology.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  4. Article
  5. Pseudogenes in Cardiovascular Disease.Frontiers in molecular biosciences · 2020
    Review
  6. Article
  7. Review
  8. RetrogeneDB-a database of plant and animal retrocopies.Database : the journal of biological databases and curation · 2017
    Article
  9. Article
  10. RetrogeneDB--a database of animal retrogenes.Molecular biology and evolution · 2014
    Article
  11. Article
  12. RCPedia: a database of retrocopied genes.Bioinformatics (Oxford, England) · 2013
    Article
  13. Article
  14. Bioinformatics and genomic analysis of transposable elements in eukaryotic genomes.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2011
    Article
  15. Article
  16. Article
  17. Genomic landscape of developing male germ cells.Birth defects research. Part C, Embryo today : reviews · 2009
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

  • Erratum issued
    Adel, Khelifi [corrected to Khelifi, Adel]; Laurent, Duret [corrected to Durent, Laurent]; Dominique, Mouchiroud [corrected to Mouchiroud, Dominique]
5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Adel KhelifiLaboratoire de Biométrie et Biologie Evolutive, UMR CNRS 5558, Université Claude Bernard-Lyon 1, 43 bd. du 11 Novembre 1918, 69622 Villeurbanne Cedex, France. khelifi@biomserv.univ-lyon1.fr
Khelifi Adel
Laurent Duret
Duret Laurent
Dominique Mouchiroud
Mouchiroud Dominique
Université Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Processed pseudogenes result from reverse transcribed mRNAs. In general, because processed pseudogenes lack promoters, they are no longer functional from the moment they are inserted into the genome. Subsequently, they freely accumulate substitutions, insertions and deletions. Moreover, the ancestral structure of processed pseudogenes could be easily inferred using the sequence of their functional homologous genes. Owing to these characteristics, processed pseudogenes represent good neutral markers for studying genome evolution. Recently, there is an increasing interest for these markers, particularly to help gene prediction in the field of genome annotation, functional genomics and genome evolution analysis (patterns of substitution). For these reasons, we have developed a method to annotate processed pseudogenes in complete genomes. To make them useful to different fields of research, we stored them in a nucleic acid database after having annotated them. In this work, we screened both mouse and human complete genomes from ENSEMBL to find processed pseudogenes generated from functional genes with introns. We used a conservative method to detect processed pseudogenes in order to minimize the rate of false positive sequences. Within processed pseudogenes, some are still having a conserved open reading frame and some have overlapping gene locations. We designated as retroelements all reverse transcribed sequences and more strictly, we designated as processed pseudogenes, all retroelements not falling in the two former categories (having a conserved open reading or overlapping gene locations). We annotated 5823 retroelements (5206 processed pseudogenes) in the human genome and 3934 (3428 processed pseudogenes) in the mouse genome. Compared to previous estimations, the total number of processed pseudogenes was underestimated but the aim of this procedure was to generate a high-quality dataset. To facilitate the use of processed pseudogenes in studying genome structure and evolution, DNA sequences from processed pseudogenes, and their functional reverse transcribed homologs, are now stored in a nucleic acid database, HOPPSIGEN. HOPPSIGEN can be browsed on the PBIL (Pole Bioinformatique Lyonnais) World Wide Web server (http://pbil.univ-lyon1.fr/) or fully downloaded for local installation.

Indexed as

Databases, Nucleic AcidPseudogenesAnimalsHumansInternetMiceRetroelementsReverse TranscriptionRetroelements

Identifiers

PMID15608268
PMCPMC540038
OpenAlexW2153216447

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.