Evidence map›Paper›PMID 31829904›Full record

ArticleRadiation research2020

Generation of a Transcriptional Radiation Exposure Signature in Human Blood Using Long-Read Nanopore Sequencing.

Lourdes Cruz-Garcia, Grainne O'Brien, Botond Sipos, Simon Mayes, Michael I Love, Daniel J Turner, Christophe Badie

Open access · bronzeAbstract read
In one paragraph

Article in Radiation research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.0field-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

21 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
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  5. Review
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  9. Review
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  11. Transcriptomics for radiation biodosimetry: progress and challenges.International journal of radiation biology · 2023
    Review
  12. Article
  13. Article
  14. The transcriptomic revolution and radiation biology.International journal of radiation biology · 2022
    Article
  15. Dose Variations Using an X-Ray Cabinet to EstablishFrontiers in public health · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Statistical Modeling of High Dimensional Counts.Methods in molecular biology (Clifton, N.J.) · 2021
    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

7 authors at 3 institutions in 2 countries.

Lourdes Cruz-GarciaCancer Mechanisms and Biomarkers Group, Radiation Effects Department, Centre for Radiation, Chemical and Environmental Hazards Public Health England Chilton, Didcot, OX11 ORQ United Kingdom.
Grainne O'BrienCancer Mechanisms and Biomarkers Group, Radiation Effects Department, Centre for Radiation, Chemical and Environmental Hazards Public Health England Chilton, Didcot, OX11 ORQ United Kingdom.
Botond SiposOxford Nanopore Technologies, OX4 4DQ, Oxford, United Kingdom.
Simon MayesOxford Nanopore Technologies, OX4 4DQ, Oxford, United Kingdom.
Michael I LoveDepartments of Biostatistics.
Daniel J TurnerOxford Nanopore Technologies, OX4 4DQ, Oxford, United Kingdom.
Christophe BadieCancer Mechanisms and Biomarkers Group, Radiation Effects Department, Centre for Radiation, Chemical and Environmental Hazards Public Health England Chilton, Didcot, OX11 ORQ United Kingdom.
Oxford Nanopore Technologies (United Kingdom) · GBPublic Health England · GBUniversity of North Carolina at Chapel Hill · US

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
Statistical Methods for Cancer Clinical TrialsP01CA142538 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KOSOROK, MICHAEL R · 2010 to 2019
$21.3M
A Modular Framework for Accurate, Interpretable, and Reproducible Analysis of Long Read RNA-Seq DataR01HG009937 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Michael Isaiah Love, Robert Patro · 2018 to 2026
$2.8M
pathQTL: Integrative Multi-Omics Causal Inference of Molecular Mechanisms Leading to Neuropsychiatric IllnessR01MH118349 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LOVE, MICHAEL ISAIAH, STEIN, JASON LOUIS · 2019 to 2023
$2.4M
NCI NIH HHS P01 CA142538NHGRI NIH HHS R01 HG009937NIEHS NIH HHS P30 ES010126NIMH NIH HHS R01 MH118349
6 · The paper itself

Abstract

In the event of a large-scale event leading to acute ionizing radiation exposure, high-throughput methods would be required to assess individual dose estimates for triage purposes. Blood-based gene expression is a broad source of biomarkers of radiation exposure which have great potential for providing rapid dose estimates for a large population. Time is a crucial component in radiological emergencies and the shipment of blood samples to relevant laboratories presents a concern. In this study, we performed nanopore sequencing analysis to determine if the technology can be used to detect radiation-inducible genes in human peripheral blood mononuclear cells (PBMCs). The technology offers not only long-read sequencing but also a portable device which can overcome issues involving sample shipment, and provide faster results. For this goal, blood from nine healthy volunteers was 2 Gy

Indexed as

Nanopore SequencingBloodDose-Response Relationship, RadiationGenomicsHumansLeukocytes, MononuclearRadiation ExposureTranscription, GeneticTranscriptome

Identifiers

PMID31829904
PMCPMC7055010
OpenAlexW2995732066

What OpenQuestion holds

Textmetadata
LicenceTDM
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.