Evidence map›Paper›PMID 26763932›Full record

ArticleScientific reports2016

Radiation-induced alternative transcription and splicing events and their applicability to practical biodosimetry.

Ellina Macaeva, Yvan Saeys, Kevin Tabury, Ann Janssen, Arlette Michaux, Mohammed A Benotmane, Winnok H De Vos, Sarah Baatout, Roel Quintens

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Transcriptomics for radiation biodosimetry: progress and challenges.International journal of radiation biology · 2023
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. The transcriptomic revolution and radiation biology.International journal of radiation biology · 2022
    Article
  15. Long and short non-coding RNA and radiation response: a review.Translational research : the journal of laboratory and clinical medicine · 2021
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors.

Ellina MacaevaRadiobiology Unit, Belgian Nuclear Research Centre, SCK•CEN, Mol, Belgium.
Yvan SaeysData Mining and Modelling for Biomedicine Group, VIB Inflammation Research Center, Zwijnaarde, Belgium.
Kevin TaburyRadiobiology Unit, Belgian Nuclear Research Centre, SCK•CEN, Mol, Belgium.
Ann JanssenRadiobiology Unit, Belgian Nuclear Research Centre, SCK•CEN, Mol, Belgium.
Arlette MichauxRadiobiology Unit, Belgian Nuclear Research Centre, SCK•CEN, Mol, Belgium.
Mohammed A BenotmaneRadiobiology Unit, Belgian Nuclear Research Centre, SCK•CEN, Mol, Belgium.
Winnok H De VosDepartment of Molecular Biotechnology, Ghent University, Ghent, Belgium.
Sarah BaatoutRadiobiology Unit, Belgian Nuclear Research Centre, SCK•CEN, Mol, Belgium.
Roel QuintensRadiobiology Unit, Belgian Nuclear Research Centre, SCK•CEN, Mol, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate assessment of the individual exposure dose based on easily accessible samples (e.g. blood) immediately following a radiological accident is crucial. We aimed at developing a robust transcription-based signature for biodosimetry from human peripheral blood mononuclear cells irradiated with different doses of X-rays (0.1 and 1.0 Gy) at a dose rate of 0.26 Gy/min. Genome-wide radiation-induced changes in mRNA expression were evaluated at both gene and exon level. Using exon-specific qRT-PCR, we confirmed that several biomarker genes are alternatively spliced or transcribed after irradiation and that different exons of these genes exhibit significantly different levels of induction. Moreover, a significant number of radiation-responsive genes were found to be genomic neighbors. Using three different classification models we found that gene and exon signatures performed equally well on dose prediction, as long as more than 10 features are included. Together, our results highlight the necessity of evaluating gene expression at the level of single exons for radiation biodosimetry in particular and transcriptional biomarker research in general. This approach is especially advisable for practical gene expression-based biodosimetry, for which primer- or probe-based techniques would be the method of choice.

Indexed as

RadiationRadiometryAdultBiomarkersCluster AnalysisDose-Response Relationship, RadiationFemaleGene Expression ProfilingGene Expression RegulationHumansLeukocytes, MononuclearMaleMiddle AgedReproducibility of ResultsRNA SplicingTranscription, GeneticBiomarkers

Identifiers

PMID26763932
PMCPMC4725928

What OpenQuestion holds

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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.