Evidence map›Paper›PMID 17925851›Full record

ArticlePloS one2007

Adaptive evolution of a stress response protein.

Tom J Little, Lenny Nelson, Ted Hupp

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. 2D-DIGE proteomic characterization of head and neck squamous cell carcinoma.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2009
    Article
  7. Article
  8. 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 at 1 institution in 1 country.

Tom J LittleInstitute of Evolutionary Biology, School of Biology, University of Edinburgh, Edinburgh, United Kingdom. tlittle1@staffmail.ed.ac.uk
Lenny Nelson
Ted Hupp
University of Edinburgh · GB

Funding

Cancer Research UKWellcome Trust 079235
6 · The paper itself

Abstract

backgroundSome cancers are mediated by an interplay between tissue damage, pathogens and localised innate immune responses, but the mechanisms that underlie these linkages are only beginning to be unravelled. METHODS AND PRINCIPAL

findingsHere we identify a strong signature of adaptive evolution on the DNA sequence of the mammalian stress response gene SEP53, a member of the epidermal differentiation complex fused-gene family known for its role in suppressing cancers. The SEP53 gene appears to have been subject to adaptive evolution of a type that is commonly (though not exclusively) associated with coevolutionary arms races. A similar pattern of molecular evolution was not evident in the p53 cancer-suppressing gene.

conclusionsOur data thus raises the possibility that SEP53 is a component of the mucosal/epithelial innate immune response engaged in an ongoing interaction with a pathogen. Although the pathogenic stress mediating adaptive evolution of SEP53 is not known, there are a number of well-known candidates, in particular viruses with established links to carcinoma.

Indexed as

Amino Acid SequenceAnimalsCarcinomaEpidermisEvolution, MolecularHeat-Shock ProteinsHumansMembrane ProteinsModels, BiologicalMolecular Sequence DataNeoplasm ProteinsNeoplasmsOpen Reading FramesPhylogenySequence Homology, Amino AcidTumor Suppressor Protein p53CRNN protein, humanHeat-Shock ProteinsMembrane ProteinsNeoplasm ProteinsTumor Suppressor Protein p53

Identifiers

PMID17925851
PMCPMC1994589
OpenAlexW1981481372

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.