Evidence map›Paper›PMID 25563934›Full record

ArticleBMC genomics2014

Exhaustive data mining comparison of the effects of low doses of ionizing radiation, formaldehyde and dioxins.

Alexey Moskalev, Mikhail Shaposhnikov, Ekaterina Plyusnina, Sergey Plyusnin, Olga Shostal, Alexander Aliper, Alex Zhavoronkov

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Transposable elements contribute to the genomic response to insecticides inPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  2. 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

7 authors at 4 institutions in 2 countries.

Alexey Moskalev
Mikhail Shaposhnikov
Ekaterina Plyusnina
Sergey Plyusnin
Olga Shostal
Alexander Aliper
Alex Zhavoronkov
Syktyvkar State University · RUInstitute of Chemistry, Komi Science Center · RUFederal Medical-Biological Agency · RUUrology Foundation · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIonizing radiation in low doses is the ubiquitous environmental factor with harmful stochastic effects. Formaldehyde is one of the most reactive household and industrial pollutants. Dioxins are persistent organic pollutants and most potent synthetic poisons effective even at trace concentrations. Environmental pollutants are capable of altering the expression of a variety of genes. To identify the similarities and differences in the effects of low-dose ionizing radiation, formaldehyde and dioxin on gene expression, we performed the bioinformatic analysis of all available published data.

resultsWe found that that in addition to the common p53-, ATM- and MAPK-signaling stress response pathways, genes of cell cycle regulation and proinflammatory cytokines, the studied pollutants induce a variety of other molecular processes.

conclusionsThe observed patterns provide new insights into the mechanisms of the adverse effects associated with these pollutants. They can also be useful in the development of new bio-sensing methods for detection of pollutants in the environment and combating the deleterious effects.

Indexed as

Computational BiologyData MiningDioxinsEnvironmental PollutantsFormaldehydeGene ExpressionRadiation, IonizingDioxinsEnvironmental PollutantsFormaldehyde

Identifiers

PMID25563934
PMCPMC4303946
OpenAlexW1605484095

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.