ArticleRadiation and environmental biophysics2015
Toward the development of transcriptional biodosimetry for the identification of irradiated individuals and assessment of absorbed radiation dose.
Article in Radiation and environmental biophysics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Candidate gene biodosimetry markers of exposure to external ionizing radiation in human blood: A systematic review.PloS one · 2018Pooled it
- Microarray-Based Genomic Profiling in Low-Dose Radiation Research: Evidence, Limitations, and Translational Perspectives.International journal of molecular sciences · 2026Review
- Microfluidic Isolation of Aptamers for Intracellular Measurement of Radio-Responsive Proteins.Radiation (Multidisciplinary Digital Publishing Institute) · 2025Article
- Microfluidic measurement of intracellular mRNA with a molecular beacon probe towards point-of-care radiation triage.Sensors & diagnostics · 2024Article
- Chromosomal damage, gene expression and alternative transcription in human lymphocytes exposed to mixed ionizing radiation as encountered in space.Scientific reports · 2024Article
- The DNA damage response to radiological imaging: from ROS and γH2AX foci induction to gene expression responses in vivo.Radiation and environmental biophysics · 2023Article
- Transcriptional Dynamics of DNA Damage Responsive Genes in Circulating Leukocytes during Radiotherapy.Cancers · 2022Article
- Peripheral Blood Transcript Signatures after Internal 131I-mIBG Therapy in Relapsed and Refractory Neuroblastoma Patients Identifies Early and Late Biomarkers of Internal 131I Exposures.Radiation research · 2022Article
- Development of the FAST-DOSE assay system for high-throughput biodosimetry and radiation triage.Scientific reports · 2020Article
- Generation of a Transcriptional Radiation Exposure Signature in Human Blood Using Long-Read Nanopore Sequencing.Radiation research · 2020Article
- Identification of miRNA signatures associated with radiation-induced late lung injury in mice.PloS one · 2020Article
- Article
- Measurement of γ-H2AX foci, miRNA-101, and gene expression as a means to quantify radiation-absorbed dose in cancer patients who had undergone radiotherapy.Radiation and environmental biophysics · 2019Article
- Candidate protein markers for radiation biodosimetry in the hematopoietically humanized mouse model.Scientific reports · 2018Article
- Biodosimetric transcriptional and proteomic changes are conserved in irradiated human tissue.Radiation and environmental biophysics · 2018Article
- FDXR is a biomarker of radiation exposure in vivo.Scientific reports · 2018Article
- The first in vivo multiparametric comparison of different radiation exposure biomarkers in human blood.PloS one · 2018Article
- GDF-15 gene expression alterations in human lymphoblastoid cells and peripheral blood lymphocytes following exposure to ionizing radiation.Molecular medicine reports · 2017Article
- Developing Human Radiation Biodosimetry Models: Testing Cross-Species Conversion Approaches Using an Ex Vivo Model System.Radiation research · 2017Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The most frequently used and the best established method of biological dosimetry at present is the dicentric chromosome assay, which is poorly suitable for a mass casualties scenario. This gives rise to the need for the development of new, high-throughput assays for rapid identification of the subjects exposed to ionizing radiation. In the present study, we tested the usefulness of gene expression analysis in blood cells for biological dosimetry. Human peripheral blood from three healthy donors was X-irradiated with doses of 0 (control), 0.6, and 2 Gy. The mRNA level of 16 genes (ATF3, BAX, BBC3, BCL2, CDKN1A, DDB2, FDXR, GADD45A, GDF15, MDM2, PLK3, SERPINE1, SESN2, TNFRSF10B, TNFSF4, and VWCE) was assessed by reverse transcription quantitative PCR 6, 12, 24, and 48 h after exposure with ITFG1 and DPM1 used as a reference genes. The panel of radiation-responsive genes was selected comprising GADD45A, CDKN1A, BAX, BBC3, DDB2, TNFSF4, GDF15, and FDXR. Cluster analysis showed that ΔC t values of the selected genes contained sufficient information to allow discrimination between irradiated and non-irradiated blood samples. The samples were clearly grouped according to the absorbed doses of radiation and not to the time interval after irradiation or to the blood donor.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.