Evidence map›Paper›PMID 20210993›Full record

ArticleGenome biology2010

Identification and analysis of unitary pseudogenes: historic and contemporary gene losses in humans and other primates.

Zhengdong D Zhang, Adam Frankish, Toby Hunt, Jennifer Harrow, Mark Gerstein

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed
6.5field-weighted citation impact, top 2% 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

110 citing papers in PubMed, 201 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Transcriptome sequencing (RNA-Seq) reveals non-coding pseudogene CDC27P9 role in cervical cancer.Apoptosis : an international journal on programmed cell death · 2026
    Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Circadian period is compensated for repressor protein turnover rates in single cells.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Article

50 more citing papers are in PubMed but not listed here.

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 2 institutions in 2 countries.

Zhengdong D ZhangDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA. zdzmg@gersteinlab.org
Adam Frankish
Toby Hunt
Jennifer Harrow
Mark Gerstein
Wellcome Sanger Institute · GBYale University · US

Funding

Integrated human genome annotation: generation of a reference gene setU54HG004555 · NHGRI · SANGER INSTITUTE · PI HUBBARD, TIMOTHY JOHN · 2007 to 2012
$11.2M
Gene regulation in metastasis and new methods to analyze its microarray profilesK99LM009770 · NLM · YALE UNIVERSITY · PI ZHANG, ZHENGDONG · 2007 to 2009
$228k
NHGRI NIH HHS U54 HG004555NLM NIH HHS 1K99LM009770-01Wellcome Trust 077198
6 · The paper itself

Abstract

backgroundUnitary pseudogenes are a class of unprocessed pseudogenes without functioning counterparts in the genome. They constitute only a small fraction of annotated pseudogenes in the human genome. However, as they represent distinct functional losses over time, they shed light on the unique features of humans in primate evolution.

resultsWe have developed a pipeline to detect human unitary pseudogenes through analyzing the global inventory of orthologs between the human genome and its mammalian relatives. We focus on gene losses along the human lineage after the divergence from rodents about 75 million years ago. In total, we identify 76 unitary pseudogenes, including previously annotated ones, and many novel ones. By comparing each of these to its functioning ortholog in other mammals, we can approximately date the creation of each unitary pseudogene (that is, the gene 'death date') and show that for our group of 76, the functional genes appear to be disabled at a fairly uniform rate throughout primate evolution - not all at once, correlated, for instance, with the 'Alu burst'. Furthermore, we identify 11 unitary pseudogenes that are polymorphic - that is, they have both nonfunctional and functional alleles currently segregating in the human population. Comparing them with their orthologs in other primates, we find that two of them are in fact pseudogenes in non-human primates, suggesting that they represent cases of a gene being resurrected in the human lineage.

conclusionsThis analysis of unitary pseudogenes provides insights into the evolutionary constraints faced by different organisms and the timescales of functional gene loss in humans.

Indexed as

Evolution, MolecularAnimalsGenomicsHumansMicePrimatesPseudogenes

Identifiers

PMID20210993
PMCPMC2864566
OpenAlexW2132283613

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.