Evidence map›Paper›PMID 24475070›Full record

ArticlePloS one2014

Mining gene expression data for pollutants (dioxin, toluene, formaldehyde) and low dose of gamma-irradiation.

Alexey Moskalev, Mikhail Shaposhnikov, Anastasia Snezhkina, Valeria Kogan, Ekaterina Plyusnina, Darya Peregudova, Nataliya Melnikova, Leonid Uroshlev, Sergey Mylnikov, Alexey Dmitriev and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 32 citations in OpenAlex.

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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

13 authors at 7 institutions in 1 country.

Alexey MoskalevLaboratory of Molecular Radiobiology and Gerontology, Institute of Biology of Komi Science Center of RAS, Syktyvkar, Russia ; Ecological Department, Syktyvkar State University, Syktyvkar, Russia ; Laboratory of Genetics of Aging and Longevity, Moscow Institute of Physics and Technology, Dolgoprudny, Russia.
Mikhail ShaposhnikovLaboratory of Molecular Radiobiology and Gerontology, Institute of Biology of Komi Science Center of RAS, Syktyvkar, Russia ; Ecological Department, Syktyvkar State University, Syktyvkar, Russia.
Anastasia SnezhkinaGroup of Postgenomic Studies, Engelhardt Institute of Molecular Biology of RAS, Moscow, Russia.
Valeria KoganLaboratory of Genetics of Aging and Longevity, Moscow Institute of Physics and Technology, Dolgoprudny, Russia ; Quantum Pharmaceuticals, Moscow, Russia.
Ekaterina PlyusninaLaboratory of Molecular Radiobiology and Gerontology, Institute of Biology of Komi Science Center of RAS, Syktyvkar, Russia ; Ecological Department, Syktyvkar State University, Syktyvkar, Russia.
Darya PeregudovaLaboratory of Molecular Radiobiology and Gerontology, Institute of Biology of Komi Science Center of RAS, Syktyvkar, Russia.
Nataliya MelnikovaGroup of Postgenomic Studies, Engelhardt Institute of Molecular Biology of RAS, Moscow, Russia.
Leonid UroshlevGroup of Postgenomic Studies, Engelhardt Institute of Molecular Biology of RAS, Moscow, Russia ; Department of Computational Systems Biology, Vavilov Institute of General Genetics, Moscow, Russia.
Sergey MylnikovDepartment of Genetics, St. Petersburg State University, St. Petersburg, Russia.
Alexey DmitrievGroup of Postgenomic Studies, Engelhardt Institute of Molecular Biology of RAS, Moscow, Russia.
Sergey PlusninLaboratory of Molecular Radiobiology and Gerontology, Institute of Biology of Komi Science Center of RAS, Syktyvkar, Russia ; Ecological Department, Syktyvkar State University, Syktyvkar, Russia.
Peter FedichevLaboratory of Genetics of Aging and Longevity, Moscow Institute of Physics and Technology, Dolgoprudny, Russia ; Quantum Pharmaceuticals, Moscow, Russia.
Anna KudryavtsevaGroup of Postgenomic Studies, Engelhardt Institute of Molecular Biology of RAS, Moscow, Russia.
Engelhardt Institute of Molecular Biology · RUInstitute of Chemistry, Komi Science Center · RUMoscow Institute of Physics and Technology · RURussian Quantum Center · RUSt Petersburg University · RUSyktyvkar State University · RUVavilov Institute of General Genetics · RU

Funding

Brooklyn Health Disparities Research CenterR24MD001090 · NIMHD · SUNY DOWNSTATE MEDICAL CENTER · PI BROWN, CLINTON DOUGLAS · 2004 to 2006
$1.1M
NIMHD NIH HHS R24 MD001090
6 · The paper itself

Abstract

General and specific effects of molecular genetic responses to adverse environmental factors are not well understood. This study examines genome-wide gene expression profiles of Drosophila melanogaster in response to ionizing radiation, formaldehyde, toluene, and 2,3,7,8-tetrachlorodibenzo-p-dioxin. We performed RNA-seq analysis on 25,415 transcripts to measure the change in gene expression in males and females separately. An analysis of the genes unique to each treatment yielded a list of genes as a gene expression signature. In the case of radiation exposure, both sexes exhibited a reproducible increase in their expression of the transcription factors sugarbabe and tramtrack. The influence of dioxin up-regulated metabolic genes, such as anachronism, CG16727, and several genes with unknown function. Toluene activated a gene involved in the response to the toxins, Cyp12d1-p; the transcription factor Fer3's gene; the metabolic genes CG2065, CG30427, and CG34447; and the genes Spn28Da and Spn3, which are responsible for reproduction and immunity. All significantly differentially expressed genes, including those shared among the stressors, can be divided into gene groups using Gene Ontology Biological Process identifiers. These gene groups are related to defense response, biological regulation, the cell cycle, metabolic process, and circadian rhythms. KEGG molecular pathway analysis revealed alteration of the Notch signaling pathway, TGF-beta signaling pathway, proteasome, basal transcription factors, nucleotide excision repair, Jak-STAT signaling pathway, circadian rhythm, Hippo signaling pathway, mTOR signaling pathway, ribosome, mismatch repair, RNA polymerase, mRNA surveillance pathway, Hedgehog signaling pathway, and DNA replication genes. Females and, to a lesser extent, males actively metabolize xenobiotics by the action of cytochrome P450 when under the influence of dioxin and toluene. Finally, in this work we obtained gene expression signatures pollutants (dioxin, toluene), low dose of gamma-irradiation and common molecular pathways for different kind of stressors.

Indexed as

Data MiningGene-Environment InteractionGene Expression ProfilingAnimalsCluster AnalysisComputational BiologyDrosophilaEnvironmental PollutantsFemaleGamma RaysGene Expression RegulationGene Regulatory NetworksMaleEnvironmental Pollutants

Identifiers

PMID24475070
PMCPMC3901678
OpenAlexW2028526974

What OpenQuestion holds

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LicenceCC BY
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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.