Evidence map›Paper›PMID 24294108›Full record

ArticleCurrent genomics2013

Evolutionary constraints favor a biophysical model explaining hox gene collinearity.

Yannis Almirantis, Astero Provata, Spyros Papageorgiou

Open access · bronzeAbstract read
In one paragraph

Article in Current genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Physical Laws Shape Up HOX Gene Collinearity.Journal of developmental biology · 2021
    Review
  2. Two Tier Hox Collinearity Mediates Vertebrate Axial Patterning.Frontiers in cell and developmental biology · 2018
    Article
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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 3 institutions in 2 countries.

Yannis AlmirantisNational Center for Scientific Research "Demokritos", Institute of Biosciences and Applications, 153 10 Athens, Greece;
Astero Provata
Spyros Papageorgiou
Bentham Science Publishers (United Arab Emirates)Institute of Biosciences & ApplicationsNational Centre of Scientific Research "Demokritos" · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Hox gene collinearity enigma has often been approached using models based on biomolecular mechanisms. The biophysical model is an alternative approach based on the hypothesis that collinearity is caused by physical forces pulling the Hox genes from a territory where they are inactive to a distinct spatial domain where they are activated in a step by step manner. Such Hox gene translocations have recently been observed in support of the biophysical model. Genetic engineering experiments, performed on embryonic mice, gave rise to several unexpected mutant expressions that the biomolecular models cannot predict. On the contrary, the biophysical model offers convincing explanation. Evolutionary constraints consolidate the Hox clusters and as a result, denser and well organized clusters may create more efficient physical forces and a more emphatic manifestation of gene collinearity. This is demonstrated by stochastic modeling with white noise perturbing the expression of Hox genes. As study cases the genomes of mouse and amphioxus are used. The results support the working hypothesis that vertebrates have adopted their comparably more compact Hox clustering as a tool needed to develop more complex body structures. Several experiments are proposed in order to test further the physical forces hypothesis.

Indexed as

ChromatinHox collinearityInvertebrate-vertebrate evolution.Limb bud

Identifiers

PMID24294108
PMCPMC3731818
OpenAlexW2037724917

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.