Evidence map›Paper›PMID 32728065›Full record

ArticleNature communications2020

Transcriptional activity and strain-specific history of mouse pseudogenes.

Cristina Sisu, Paul Muir, Adam Frankish, Ian Fiddes, Mark Diekhans, David Thybert, Duncan T Odom, Paul Flicek, Thomas M Keane, Tim Hubbard and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. 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
1.4field-weighted citation impact, top 19% 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

19 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
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  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. The physical and evolutionary energy landscapes of devolved protein sequences corresponding to pseudogenes.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Centers for Mendelian Genomics: A decade of facilitating gene discovery.Genetics in medicine : official journal of the American College of Medical Genetics · 2022
    Review
  16. Article
  17. Article
  18. GENCODE 2021.Nucleic acids research · 2021
    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

12 authors at 6 institutions in 3 countries.

Cristina Sisu *Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA.ORCID http://orcid.org/0000-0001-9371-0797
Paul Muir *Department of Molecular, Cellular & Developmental Biology, Yale University, New Haven, CT, 06520, USA.
Adam FrankishEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Ian FiddesUC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, 95064, USA.
Mark DiekhansUC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, 95064, USA.ORCID http://orcid.org/0000-0002-0430-0989
David ThybertEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Duncan T OdomUniversity of Cambridge, Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, CB2 0RE, UK.ORCID http://orcid.org/0000-0001-6201-5599
Paul FlicekEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.ORCID http://orcid.org/0000-0002-3897-7955
Thomas M KeaneEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.ORCID http://orcid.org/0000-0001-7532-6898
Tim HubbardDepartment of Medical and Molecular Genetics, King's College London, London, SE1 9RT, UK.ORCID http://orcid.org/0000-0002-1767-9318
Jennifer HarrowElexir, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Mark GersteinProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA. mark@gersteinlab.org.ORCID http://orcid.org/0000-0002-9746-3719
European Bioinformatics Institute · GBYale University · USUniversity of California, Santa Cruz · USKing's College London · GBUniversity of Cambridge · GBWellcome Sanger Institute · GB

Funding

GENCODE Resource ProjectU41HG007234 · NHGRI · SANGER INSTITUTE · PI FLICEK, PAUL · 2013 to 2020
$20.3M
Cancer Research UK 20412Medical Research Council G0800024Medical Research Council MR/R017565/1NHGRI NIH HHS U41 HG007234Wellcome Trust 202878/Z/16/ZWellcome Trust WT098051Wellcome Trust WT108749/Z/15/ZWellcome Trust WT202878/B/16/ZWellcome Trust WT202878/Z/16/Z
6 · The paper itself

Abstract

Pseudogenes are ideal markers of genome remodelling. In turn, the mouse is an ideal platform for studying them, particularly with the recent availability of strain-sequencing and transcriptional data. Here, combining both manual curation and automatic pipelines, we present a genome-wide annotation of the pseudogenes in the mouse reference genome and 18 inbred mouse strains (available via the mouse.pseudogene.org resource). We also annotate 165 unitary pseudogenes in mouse, and 303, in human. The overall pseudogene repertoire in mouse is similar to that in human in terms of size, biotype distribution, and family composition (e.g. with GAPDH and ribosomal proteins being the largest families). Notable differences arise in the pseudogene age distribution, with multiple retro-transpositional bursts in mouse evolutionary history and only one in human. Furthermore, in each strain about a fifth of all pseudogenes are unique, reflecting strain-specific evolution. Finally, we find that ~15% of the mouse pseudogenes are transcribed, and that highly transcribed parent genes tend to give rise to many processed pseudogenes.

Indexed as

Transcription, GeneticAnimalsConserved SequenceEvolution, MolecularGene OntologyGenomeHumansMice, Inbred C57BLMolecular Sequence AnnotationPseudogenesSpecies Specificity

Identifiers

PMID32728065
PMCPMC7392758
OpenAlexW3046038507

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.