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Abdulghani M, Razavian NB, Burdick JT, Domingo E, Cheung VG, Humphrey TC. Isoform Switching Regulates the Response to Ionizing Radiation Through SRSF1. Int J Radiat Oncol Biol Phys 2024; 119:1517-1529. [PMID: 38447610 DOI: 10.1016/j.ijrobp.2024.02.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 01/23/2024] [Accepted: 02/10/2024] [Indexed: 03/08/2024]
Abstract
PURPOSE This study investigated how isoform switching affects the cellular response to ionizing radiation (IR), an understudied area despite its relevance to radiation therapy in cancer treatment. We aimed to identify changes in transcript isoform expression post-IR exposure and the proteins mediating these changes, with a focus on their potential to modulate radiosensitivity. METHODS AND MATERIALS Using RNA sequencing, we analyzed the B-cell lines derived from 10 healthy individuals at 3 timepoints, applying the mixture of isoforms algorithm to quantify alternative splicing. We examined RNA binding protein motifs within the sequences of IR-responsive isoforms and validated the serine/arginine-rich splicing factor 1 (SRSF1) as a predominant mediator through RNA immunoprecipitation. We further investigated the effects of SRSF1 on radiosensitivity by RNA interference and by analyzing publicly available data on patients with cancer. RESULTS We identified ∼1900 radiation-responsive alternatively spliced isoforms. Many isoforms were differentially expressed without changes in their overall gene expression. Over a third of these transcripts underwent exon skipping, while others used proximal last exons. These IR-responsive isoforms tended to be shorter transcripts missing vital domains for preventing apoptosis and promoting cell division but retaining those necessary for DNA repair. Our combined computational, genetic, and molecular analyses identified the proto-oncogene SRSF1 as a mediator of these radiation-induced isoform-switching events that promote apoptosis. After exposure to DNA double-strand break-inducing agents, SRSF1 expression decreased. A reduction in SRSF1 increased radiosensitivity in vitro and among patients with cancer. CONCLUSIONS We establish a pivotal role for isoform switching in the cellular response to IR and propose SRSF1 as a promising biomarker for assessing radiation therapy effectiveness.
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Affiliation(s)
- Majd Abdulghani
- Rhodes Trust and; Department of Oncology, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - Niema B Razavian
- Department of Pediatrics and Life Sciences Institute, University of Michigan, Ann Arbor, Michigan
| | - Joshua T Burdick
- Department of Pediatrics and Life Sciences Institute, University of Michigan, Ann Arbor, Michigan
| | - Enric Domingo
- Department of Oncology, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - Vivian G Cheung
- Department of Pediatrics and Life Sciences Institute, University of Michigan, Ann Arbor, Michigan.
| | - Timothy C Humphrey
- Department of Oncology, Medical Sciences Division, University of Oxford, Oxford, United Kingdom; Genome Damage and Stability Centre, University of Sussex, Brighton, East Sussex, United Kingdom.
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2
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Riego ML, Meher PK, Brzozowska B, Akuwudike P, Bucher M, Oestreicher U, Lundholm L, Wojcik A. Chromosomal damage, gene expression and alternative transcription in human lymphocytes exposed to mixed ionizing radiation as encountered in space. Sci Rep 2024; 14:11502. [PMID: 38769353 PMCID: PMC11106305 DOI: 10.1038/s41598-024-62313-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Accepted: 05/15/2024] [Indexed: 05/22/2024] Open
Abstract
Astronauts travelling in space will be exposed to mixed beams of particle radiation and photons. Exposure limits that correspond to defined cancer risk are calculated by multiplying absorbed doses by a radiation-type specific quality factor that reflects the biological effectiveness of the particle without considering possible interaction with photons. We have shown previously that alpha radiation and X-rays may interact resulting in synergistic DNA damage responses in human peripheral blood lymphocytes but the level of intra-individual variability was high. In order to assess the variability and validate the synergism, blood from two male donors was drawn at 9 time points during 3 seasons of the year and exposed to 0-2 Gy of X-rays, alpha particles or 1:1 mixture of both (half the dose each). DNA damage response was quantified by chromosomal aberrations and by mRNA levels of 3 radiation-responsive genes FDXR, CDKN1A and MDM2 measured 24 h post exposure. The quality of response in terms of differential expression of alternative transcripts was assessed by using two primer pairs per gene. A consistently higher than expected effect of mixed beams was found in both donors for chromosomal aberrations and gene expression with some seasonal variability for the latter. No synergy was detected for alternative transcription.
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Affiliation(s)
- Milagrosa López Riego
- Centre for Radiation Protection Research, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Svante Arrhenius Väg 20C, 106 91, Stockholm, Sweden
| | - Prabodha Kumar Meher
- Centre for Radiation Protection Research, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Svante Arrhenius Väg 20C, 106 91, Stockholm, Sweden
| | - Beata Brzozowska
- Institute of Experimental Physics, Faculty of Physics, University of Warsaw, Warsaw, Poland
| | - Pamela Akuwudike
- Centre for Radiation Protection Research, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Svante Arrhenius Väg 20C, 106 91, Stockholm, Sweden
| | - Martin Bucher
- Federal Office for Radiation Protection, Oberschleissheim, Germany
| | | | - Lovisa Lundholm
- Centre for Radiation Protection Research, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Svante Arrhenius Väg 20C, 106 91, Stockholm, Sweden
| | - Andrzej Wojcik
- Centre for Radiation Protection Research, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Svante Arrhenius Väg 20C, 106 91, Stockholm, Sweden.
- Institute of Biology, Jan Kochanowski University, Kielce, Poland.
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3
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Aryankalayil MJ, Bylicky MA, Martello S, Chopra S, Sproull M, May JM, Shankardass A, MacMillan L, Vanpouille-Box C, Eke I, Scott KMK, Dalo J, Coleman CN. Microarray analysis of hub genes, non-coding RNAs and pathways in lung after whole body irradiation in a mouse model. Int J Radiat Biol 2023; 99:1702-1715. [PMID: 37212632 PMCID: PMC10615684 DOI: 10.1080/09553002.2023.2214205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 05/05/2023] [Indexed: 05/23/2023]
Abstract
PURPOSE Previous research has highlighted the impact of radiation damage, with cancer patients developing acute disorders including radiation induced pneumonitis or chronic disorders including pulmonary fibrosis months after radiation therapy ends. We sought to discover biomarkers that predict these injuries and develop treatments that mitigate this damage and improve quality of life. MATERIALS AND METHODS Six- to eight-week-old female C57BL/6 mice received 1, 2, 4, 8, 12 Gy or sham whole body irradiation. Animals were euthanized 48 h post exposure and lungs removed, snap frozen and underwent RNA isolation. Microarray analysis was performed to determine dysregulation of messenger RNA (mRNA), microRNA (miRNA), and long non-coding RNA (lncRNA) after radiation injury. RESULTS We observed sustained dysregulation of specific RNA markers including: mRNAs, lncRNAs, and miRNAs across all doses. We also identified significantly upregulated genes that can indicate high dose exposure, including Cpt1c, Pdk4, Gdf15, and Eda2r, which are markers of senescence and fibrosis. Only three miRNAs were significantly dysregulated across all radiation doses: miRNA-142-3p and miRNA-142-5p were downregulated and miRNA-34a-5p was upregulated. IPA analysis predicted inhibition of several molecular pathways with increasing doses of radiation, including: T cell development, Quantity of leukocytes, Quantity of lymphocytes, and Cell viability. CONCLUSIONS These RNA biomarkers might be highly relevant in the development of treatments and in predicting normal tissue injury in patients undergoing radiation treatment. We are conducting further experiments in our laboratory, which includes a human lung-on-a-chip model, to develop a decision tree model using RNA biomarkers.
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Affiliation(s)
- Molykutty J Aryankalayil
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Michelle A Bylicky
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shannon Martello
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sunita Chopra
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mary Sproull
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jared M May
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Aman Shankardass
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Iris Eke
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA
| | - Kevin M K Scott
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Juan Dalo
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - C Norman Coleman
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Radiation Research Program, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
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4
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Schüle S, Ostheim P, Port M, Abend M. Identifying radiation responsive exon-regions of genes often used for biodosimetry and acute radiation syndrome prediction. Sci Rep 2022; 12:9545. [PMID: 35680903 PMCID: PMC9184472 DOI: 10.1038/s41598-022-13577-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Accepted: 05/17/2022] [Indexed: 11/12/2022] Open
Abstract
Gene expression (GE) analysis of FDXR, DDB2, WNT3 and POU2AF1 is a promising approach for identification of clinically relevant groups (unexposed, low- and high exposed) after radiological/nuclear events. However, results from international biodosimetry exercises have shown differences in dose estimates based on radiation-induced GE of the four genes. Also, differences in GE using next-generation-sequening (NGS) and validation with quantitative real-time polymerase chain reaction (qRT-PCR) was reported. These discrepancies could be caused by radiation-responsive differences among exons of the same gene. We performed GE analysis with qRT-PCR using TaqMan-assays covering all exon-regions of FDXR, DDB2, WNT3 and POU2AF1. Peripheral whole blood from three healthy donors was X-irradiated with 0, 0.5 and 4 Gy. After 24 and 48 h a dose-dependent up-regulation across almost all exon-regions for FDXR and DDB2 (4–42-fold) was found. A down-regulation for POU2AF1 (two- to threefold) and WNT3 (< sevenfold) at the 3’-end was found at 4 Gy irradiation only. Hence, this confirms our hypothesis for radiation-responsive exon-regions for WNT3 and POU2AF1, but not for FDXR and DDB2. Finally, we identified the most promising TaqMan-assays for FDXR (e.g. AR7DTG3, Hs00244586_m1), DDB2 (AR47X6H, Hs03044951_m1), WNT3 (Hs00902258_m1, Hs00902257_m1) and POU2AF1 (Hs01573370_g1, Hs01573371_m1) for biodosimetry purposes and acute radiation syndrome prediction, considering several criteria (detection limit, dose dependency, time persistency, inter-individual variability).
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Affiliation(s)
- Simone Schüle
- Bundeswehr Institute of Radiobiology Affiliated to the University Ulm, Neuherbergstr. 11, 80937, Munich, Germany
| | - Patrick Ostheim
- Bundeswehr Institute of Radiobiology Affiliated to the University Ulm, Neuherbergstr. 11, 80937, Munich, Germany
| | - Matthias Port
- Bundeswehr Institute of Radiobiology Affiliated to the University Ulm, Neuherbergstr. 11, 80937, Munich, Germany
| | - Michael Abend
- Bundeswehr Institute of Radiobiology Affiliated to the University Ulm, Neuherbergstr. 11, 80937, Munich, Germany.
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5
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Transcriptomics of Wet Skin Biopsies Predict Early Radiation-Induced Hematological Damage in a Mouse Model. Genes (Basel) 2022; 13:genes13030538. [PMID: 35328091 PMCID: PMC8952434 DOI: 10.3390/genes13030538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 02/28/2022] [Accepted: 03/16/2022] [Indexed: 12/04/2022] Open
Abstract
The lack of an easy and fast radiation-exposure testing method with a dosimetric ability complicates triage and treatment in response to a nuclear detonation, radioactive material release, or clandestine exposure. The potential of transcriptomics in radiation diagnosis and prognosis were assessed here using wet skin (blood/skin) biopsies obtained at hour 2 and days 4, 7, 21, and 28 from a mouse radiation model. Analysis of significantly differentially transcribed genes (SDTG; p ≤ 0.05 and FC ≥ 2) during the first post-exposure week identified the glycoprotein 6 (GP-VI) signaling, the dendritic cell maturation, and the intrinsic prothrombin activation pathways as the top modulated pathways with stable inactivation after lethal exposures (20 Gy) and intermittent activation after sublethal (1, 3, 6 Gy) exposure time points (TPs). Interestingly, these pathways were inactivated in the late TPs after sublethal exposure in concordance with a delayed deleterious effect. Modulated transcription of a variety of collagen types, laminin, and peptidase genes underlay the modulated functions of these hematologically important pathways. Several other SDTGs related to platelet and leukocyte development and functions were identified. These results outlined genetic determinants that were crucial to clinically documented radiation-induced hematological and skin damage with potential countermeasure applications.
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6
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Deane CS, da Silveira WA, Herranz R. Space omics research in Europe: Contributions, geographical distribution and ESA member state funding schemes. iScience 2022; 25:103920. [PMID: 35265808 PMCID: PMC8898910 DOI: 10.1016/j.isci.2022.103920] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
The European research community, via European Space Agency (ESA) spaceflight opportunities, has significantly contributed toward our current understanding of spaceflight biology. Recent molecular biology experiments include "omic" analysis, which provides a holistic and systems level understanding of the mechanisms underlying phenotypic adaptation. Despite vast interest in, and the immense quantity of biological information gained from space omics research, the knowledge of ESA-related space omics works as a collective remains poorly defined due to the recent exponential application of omics approaches in space and the limited search capabilities of pre-existing records. Thus, a review of such contributions is necessary to clarify and promote the development of space omics among ESA and ESA state members. To address this gap, in this review, we i) identified and summarized omics works led by European researchers, ii) geographically described these omics works, and iii) highlighted potential caveats in complex funding scenarios among ESA member states.
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Affiliation(s)
- Colleen S Deane
- Department of Sport and Health Science, College of Life and Environmental Sciences, University of Exeter, Exeter EX1 2LU, UK.,Living Systems Institute, University of Exeter, Stocker Road, Exeter EX4 4QD, UK
| | | | - Willian A da Silveira
- Department of Applied Biomedical Science, Faculty of Health Sciences, University of Malta, Msida MSD, 2080, Malta
| | - Raúl Herranz
- Centro de Investigaciones Biológicas Margarita Salas (CSIC), 28040 Madrid, Spain
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7
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Abstract
PURPOSE This article will briefly review the origins and evolution of functional genomics, first describing the experimental technology, and then some of the approaches applied to data analysis and visualization. It will emphasize application of functional genomics to radiation biology, using examples from the author's work to illustrate several key types of analysis. It concludes with a look at non-coding RNA, alternative reading of the genome, and single-cell transcriptomics, some of the innovative areas that may help to shape future research in radiation biology and oncology. CONCLUSIONS Transcriptomic approaches have provided insight into many areas of radiation biology and medicine, and innovations in technology and data analysis approaches promise continued contributions to radiation science in the future.
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8
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Macaeva E, Tabury K, Michaux A, Janssen A, Averbeck N, Moreels M, De Vos WH, Baatout S, Quintens R. High-LET Carbon and Iron Ions Elicit a Prolonged and Amplified p53 Signaling and Inflammatory Response Compared to low-LET X-Rays in Human Peripheral Blood Mononuclear Cells. Front Oncol 2021; 11:768493. [PMID: 34888245 PMCID: PMC8649625 DOI: 10.3389/fonc.2021.768493] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 11/01/2021] [Indexed: 12/29/2022] Open
Abstract
Understanding the differences in biological response to photon and particle radiation is important for optimal exploitation of particle therapy for cancer patients, as well as for the adequate application of radiation protection measures for astronauts. To address this need, we compared the transcriptional profiles of isolated peripheral blood mononuclear cells 8 h after exposure to 1 Gy of X-rays, carbon ions or iron ions with those of non-irradiated cells using microarray technology. All genes that were found differentially expressed in response to either radiation type were up-regulated and predominantly controlled by p53. Quantitative PCR of selected genes revealed a significantly higher up-regulation 24 h after exposure to heavy ions as compared to X-rays, indicating their prolonged activation. This coincided with increased residual DNA damage as evidenced by quantitative γH2AX foci analysis. Furthermore, despite the converging p53 signature between radiation types, specific gene sets related to the immune response were significantly enriched in up-regulated genes following irradiation with heavy ions. In addition, irradiation, and in particular exposure to carbon ions, promoted transcript variation. Differences in basal and iron ion exposure-induced expression of DNA repair genes allowed the identification of a donor with distinct DNA repair profile. This suggests that gene signatures may serve as a sensitive indicator of individual DNA damage repair capacity. In conclusion, we have shown that photon and particle irradiation induce similar transcriptional pathways, albeit with variable amplitude and timing, but also elicit radiation type-specific responses that may have implications for cancer progression and treatment
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Affiliation(s)
- Ellina Macaeva
- Radiobiology Unit, Studiecentrum voor kernenergie - Centre d'étude de l'énergie nucléaire (SCK CEN), Mol, Belgium.,Department of Molecular Biotechnology, Ghent University, Ghent, Belgium.,Department of Oncology, KU Leuven, Leuven, Belgium
| | - Kevin Tabury
- Radiobiology Unit, Studiecentrum voor kernenergie - Centre d'étude de l'énergie nucléaire (SCK CEN), Mol, Belgium.,Department of Biomedical Engineering, University of South Carolina, Columbia, SC, United States
| | - Arlette Michaux
- Radiobiology Unit, Studiecentrum voor kernenergie - Centre d'étude de l'énergie nucléaire (SCK CEN), Mol, Belgium
| | - Ann Janssen
- Radiobiology Unit, Studiecentrum voor kernenergie - Centre d'étude de l'énergie nucléaire (SCK CEN), Mol, Belgium
| | - Nicole Averbeck
- Department of Biophysics, GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt, Germany
| | - Marjan Moreels
- Radiobiology Unit, Studiecentrum voor kernenergie - Centre d'étude de l'énergie nucléaire (SCK CEN), Mol, Belgium
| | - Winnok H De Vos
- Department of Veterinary Sciences, University of Antwerp, Antwerp, Belgium
| | - Sarah Baatout
- Radiobiology Unit, Studiecentrum voor kernenergie - Centre d'étude de l'énergie nucléaire (SCK CEN), Mol, Belgium.,Department of Molecular Biotechnology, Ghent University, Ghent, Belgium
| | - Roel Quintens
- Radiobiology Unit, Studiecentrum voor kernenergie - Centre d'étude de l'énergie nucléaire (SCK CEN), Mol, Belgium
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9
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Lai Y, Bäumer W, Meneses C, Roback DM, Robertson JB, Mishra SK, Lascelles BDX, Nolan MW. Irradiation of the Normal Murine Tongue Causes Upregulation and Activation of Transient Receptor Potential (TRP) Ion Channels. Radiat Res 2021; 196:331-344. [PMID: 34324688 DOI: 10.1667/rade-21-000103.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 07/15/2021] [Indexed: 11/03/2022]
Abstract
Signal transduction at sensory neurons occurs via transmembrane flux of cations, which is largely governed by the transient receptor potential (TRP) family of ion channels. It is unknown whether TRP channel activation contributes to the pain that accompanies radiation-induced oral mucositis. This study sought to characterize changes in TRP channel expression and function that occur in the locally irradiated tissues and afferent neurons of mice. Female CD-1 mice received single high-dose (27 Gy) tongue irradiation, or sham irradiation. Animals were euthanized either before overt glossitis developed (days 1 and 5 postirradiation), when glossitis was severe (day 11), or after mice had recovered (days 21 and 45). Tongue irradiation caused upregulation of the Trpv1 gene in trigeminal ganglia (TG) neurons. Other TRP genes (Trpv2, Trpv4, Trpa1, Trpm8) and Gfrα3 (which acts upstream of several TRP channels) were also upregulated in TGs and/or tongue tissue, in response to radiation. Ex vivo calcium imaging experiments demonstrated that the proportions of TG neurons responding to histamine (an activator of TRPV1, TRPV4 and TRPA1), TNF-α (an activator of TRPV1, TRPV2 and TRPV4), and capsaicin (a TRPV1 agonist), were increased as early as one day after tongue irradiation; these changes persisted for at least 21 days. In a subsequent experiment, we found that genetic deletion of TRPV1 mitigated weight loss (a surrogate marker of pain severity) in mice with severe glossitis. The results intimate that various TRP channels, and TRPV1 in particular, should be explored as analgesic targets for patients experiencing pain after oral irradiation.
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Affiliation(s)
- Yen Lai
- Department of Clinical Sciences, North Carolina State University, Raleigh, North Carolina
- Comparative Medicine Institute, North Carolina State University, Raleigh, North Carolina
| | - Wolfgang Bäumer
- Department of Molecular Biomedical Sciences, North Carolina State University, Raleigh, North Carolina
- Institute of Pharmacology and Toxicology, Department of Veterinary Medicine, Freie Universität Berlin, Germany
| | - Constanza Meneses
- Department of Clinical Sciences, North Carolina State University, Raleigh, North Carolina
- Translational Research in Pain, North Carolina State University, Raleigh, North Carolina
| | - Donald M Roback
- Department of Radiation Oncology, Rex Cancer Center, Raleigh, North Carolina
| | - James B Robertson
- College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina
| | - Santosh K Mishra
- Comparative Medicine Institute, North Carolina State University, Raleigh, North Carolina
- Department of Molecular Biomedical Sciences, North Carolina State University, Raleigh, North Carolina
- Comparative Pain Research and Education Center, North Carolina State University, Raleigh, North Carolina
| | - B Duncan X Lascelles
- Department of Clinical Sciences, North Carolina State University, Raleigh, North Carolina
- Comparative Medicine Institute, North Carolina State University, Raleigh, North Carolina
- Translational Research in Pain, North Carolina State University, Raleigh, North Carolina
- Comparative Pain Research and Education Center, North Carolina State University, Raleigh, North Carolina
| | - Michael W Nolan
- Department of Clinical Sciences, North Carolina State University, Raleigh, North Carolina
- Comparative Medicine Institute, North Carolina State University, Raleigh, North Carolina
- Comparative Pain Research and Education Center, North Carolina State University, Raleigh, North Carolina
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10
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May JM, Bylicky M, Chopra S, Coleman CN, Aryankalayil MJ. Long and short non-coding RNA and radiation response: a review. Transl Res 2021; 233:162-179. [PMID: 33582242 PMCID: PMC8475769 DOI: 10.1016/j.trsl.2021.02.005] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 02/02/2021] [Accepted: 02/07/2021] [Indexed: 12/12/2022]
Abstract
Once thought of as arising from "junk DNA," noncoding RNAs (ncRNAs) have emerged as key molecules in cellular processes and response to stress. From diseases such as cancer, coronary artery disease, and diabetes to the effects of ionizing radiation (IR), ncRNAs play important roles in disease progression and as biomarkers of damage. Noncoding RNAs regulate cellular processes by competitively binding DNA, mRNA, proteins, and other ncRNAs. Through these interactions, specific ncRNAs can modulate the radiosensitivity of cells and serve as diagnostic and prognostic biomarkers of radiation damage, whether from incidental exposure in radiotherapy or in accidental exposure scenarios. Analysis of RNA expression after radiation exposure has shown alterations not only in mRNAs, but also in ncRNAs (primarily miRNA, circRNA, and lncRNA), implying an important role in cellular stress response. Due to their abundance and stability in serum and other biofluids, ncRNAs also have great potential as minimally invasive biomarkers with advantages over current biodosimetry methods. Several studies have examined changes in ncRNA expression profiles in response to IR and other forms of oxidative stress. Furthermore, some studies have reported modulation of radiosensitivity by altering expression levels of these ncRNAs. This review discusses the roles of ncRNAs in the radiation response and evaluates prior research on ncRNAs as biomarkers of radiation damage. Future directions and applications of ncRNAs in radiation research are introduced, including the potential for a clinical ncRNA assay for assessing radiation damage and for the therapeutic use of RNA interference (RNAi).
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Affiliation(s)
- Jared M May
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
| | - Michelle Bylicky
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
| | - Sunita Chopra
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
| | - C Norman Coleman
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland; Radiation Research Program, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Molykutty J Aryankalayil
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.
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11
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Amundson SA. Transcriptomics for radiation biodosimetry: progress and challenges. Int J Radiat Biol 2021; 99:925-933. [PMID: 33970766 PMCID: PMC10026363 DOI: 10.1080/09553002.2021.1928784] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 03/08/2021] [Accepted: 04/19/2021] [Indexed: 01/08/2023]
Abstract
PURPOSE Transcriptomic-based approaches are being developed to meet the needs for large-scale radiation dose and injury assessment and provide population triage following a radiological or nuclear event. This review provides background and definition of the need for new biodosimetry approaches, and summarizes the major advances in this field. It discusses some of the major model systems used in gene signature development, and highlights some of the remaining challenges, including individual variation in gene expression, potential confounding factors, and accounting for the complexity of realistic exposure scenarios. CONCLUSIONS Transcriptomic approaches show great promise for both dose reconstruction and for prediction of individual radiological injury. However, further work will be needed to ensure that gene expression signatures will be robust and appropriate for their intended use in radiological or nuclear emergencies.
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Affiliation(s)
- Sally A Amundson
- Center for Radiological Research, Columbia University Irving Medical Center, New York, NY, USA
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12
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Kurohama H, Matsuda K, Kishino M, Yoshino M, Yamaguchi Y, Matsuu-Matsuyama M, Kondo H, Mitsutake N, Kinoshita A, Yoshiura KI, Nakashima M. Comprehensive analysis for detecting radiation-specific molecules expressed during radiation-induced rat thyroid carcinogenesis. JOURNAL OF RADIATION RESEARCH 2021; 62:i78-i87. [PMID: 33978177 PMCID: PMC8114207 DOI: 10.1093/jrr/rraa139] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 11/27/2020] [Accepted: 12/10/2020] [Indexed: 05/05/2023]
Abstract
Although the association between radiation exposure and thyroid carcinogenesis is epidemiologically evident, 'true' radiation-induced cancers cannot be identified from biological evidence of radiation-associated cases. To assess the individual risk for thyroid cancer due to radiation exposure, we aimed to identify biomarkers that are specifically altered during thyroid carcinogenesis after irradiation in a time-dependent manner in an animal model. Thyroid glands were obtained from rats (n = 175) at 6-16 months after local X-ray (0.1-4 Gy) irradiation of the neck at 7 weeks of age. The gene expression profile in thyroid glands was comprehensively analyzed using RNA microarray. Subsequently, the expression levels of the genes of interest were verified using droplet digital PCR (ddPCR). The expression level of candidate genes as biomarkers for irradiated thyroid was examined in a randomized, controlled, double-blind validation study (n = 19) using ddPCR. The incidence of thyroid cancer increased in a dose- and time-dependent manner and was 33% at 16 months after irradiation with 4 Gy. The Ki-67 labeling index in non-tumorous thyroid was significantly higher in the exposed group than in the control. Comprehensive analysis identified radiation-dependent alteration in 3329 genes. Among them, ddPCR revealed a stepwise increase in CDKN1A expression from early pre-cancerous phase in irradiated thyroid compared to that in the control. The irradiated thyroids were accurately distinguished (positive predictive value 100%, negative predictive value 69%) using 11.69 as the cut-off value for CDKN1A/β-actin. Thus, CDKN1A expression can be used as a biomarker for irradiated thyroid glands at the pre-cancerous phase.
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Affiliation(s)
- Hirokazu Kurohama
- Department of Tumor and Diagnostic Pathology, Atomic Bomb Disease Institute, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Katsuya Matsuda
- Department of Tumor and Diagnostic Pathology, Atomic Bomb Disease Institute, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Mio Kishino
- Resident Program, Isahaya General Hospital, Nagasaki, Japan
| | - Miruki Yoshino
- Medical Student Research Program, Nagasaki University School of Medicine, Nagasaki, Japan
| | - Yuka Yamaguchi
- Department of Gastroenterology, National Hospital Organization Yokohama Medical Center, Kanazawa, Japan
| | - Mutsumi Matsuu-Matsuyama
- Department of Tumor and Diagnostic Pathology, Atomic Bomb Disease Institute, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Hisayoshi Kondo
- Biostatistics Section, Division of Scientific Data Registry, Atomic Bomb Disease Institute, Nagasaki University, Nagasaki, Japan
| | - Norisato Mitsutake
- Department of Radiation Medical Sciences, Atomic Bomb Disease Institute, Nagasaki University, Nagasaki, Japan
| | - Akira Kinoshita
- Department of Human Genetics, Atomic Bomb Disease Institute, Nagasaki University, Nagasaki, Japan
| | - Ko-ichiro Yoshiura
- Department of Human Genetics, Atomic Bomb Disease Institute, Nagasaki University, Nagasaki, Japan
| | - Masahiro Nakashima
- Department of Tumor and Diagnostic Pathology, Atomic Bomb Disease Institute, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
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13
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Ostheim P, Coker O, Schüle S, Hermann C, Combs SE, Trott KR, Atkinson M, Port M, Abend M. Identifying a Diagnostic Window for the Use of Gene Expression Profiling to Predict Acute Radiation Syndrome. Radiat Res 2021; 195:38-46. [PMID: 33181834 DOI: 10.1667/rade-20-00126.1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Accepted: 09/28/2020] [Indexed: 11/03/2022]
Abstract
In the event of a mass casualty radiological or nuclear scenario, it is important to distinguish between the unexposed (worried well), low-dose exposed individuals and those developing the hematological acute radiation syndrome (HARS) within the first three days postirradiation. In previous baboon studies, we identified altered gene expression changes after irradiation, which were predictive for the later developing HARS severity. Similar changes in the expression of four of these genes were observed using an in vitro human whole blood model. However, these studies have provided only limited information on the time frame of the changes after exposure in relationship to the development of HARS. In this study we analyzed the time-dependent changes in mRNA expression after in vitro irradiation of whole blood. Changes in the expression of informative mRNAs (FDXR, DBB2, POU2AF1 and WNT3) were determined in the blood of eight healthy donors (6 males, 2 females) after irradiation at 0 (control), 0.5, 2 and 4 Gy using qRT-PCR. FDXR expression was significantly upregulated (P < 0.001) 4 h after ≥0.5 Gy irradiation, with an 18-40-fold peak attained 4-12 h postirradiation which remained elevated (4-9-fold) at 72 h. DDB2 expression was upregulated after 4 h (fold change, 5-8, P < 0.001 at ≥ 0.5 Gy) and remained upregulated (3-4-fold) until 72 h (P < 0.001). The earliest time points showing a significant downregulation of POU2AF1 and WNT3 were 4 h (fold change = 0.4, P = 0.001, at 4 Gy) and 8 h (fold change = 0.3-0.5, P < 0.001, 2-4 Gy), respectively. These results indicate that the diagnostic window for detecting HARS-predictive changes in gene expression may be opened as early as 2 h for most (75%) and at 4 h postirradiation for all individuals examined. Depending on the RNA species studied this may continue for at least three days postirradiation.
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Affiliation(s)
- Patrick Ostheim
- Bundeswehr Institute of Radiobiology affiliated to the University Ulm, Munich, Germany
| | - Omoleye Coker
- Bundeswehr Institute of Radiobiology affiliated to the University Ulm, Munich, Germany
| | - Simone Schüle
- Bundeswehr Institute of Radiobiology affiliated to the University Ulm, Munich, Germany
| | - Cornelius Hermann
- Bundeswehr Institute of Radiobiology affiliated to the University Ulm, Munich, Germany
| | - Stephanie E Combs
- Department of Radiation Oncology, Technical University of Munich, Munich, Germany.,Institute of Radiation Medicine, Department of Radiation Sciences, Helmholtz Zentrum München, Oberschleissheim, Germany.,Deutsches Konsortium für Translationale Krebsforschung, Partner Site Munich, Munich, Germany
| | - Klaus-Rüdiger Trott
- Department of Radiation Oncology, Technical University of Munich, Munich, Germany
| | - Mike Atkinson
- Institute of Radiation Biology, Department of Radiation Sciences, Helmholtz Zentrum München, Oberschleissheim, Germany
| | - Matthias Port
- Bundeswehr Institute of Radiobiology affiliated to the University Ulm, Munich, Germany
| | - Michael Abend
- Bundeswehr Institute of Radiobiology affiliated to the University Ulm, Munich, Germany
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14
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Nasser F, Cruz-Garcia L, O'Brien G, Badie C. Role of blood derived cell fractions, temperature and sample transport on gene expression-based biological dosimetry. Int J Radiat Biol 2021; 97:675-686. [PMID: 33826469 DOI: 10.1080/09553002.2021.1906464] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 03/05/2021] [Accepted: 03/10/2021] [Indexed: 02/06/2023]
Abstract
PURPOSE For triage purposes following a nuclear accident or a terrorist event, gene expression biomarkers in blood have been demonstrated to be good bioindicators of ionizing radiation (IR) exposure and can be used to assess the dose received by exposed individuals. Many IR-sensitive genes are regulated by the DNA damage response pathway, and modulators of this pathway could potentially affect their expression level and therefore alter accurate dose estimations. In the present study, we addressed the potential influence of temperature, sample transport conditions and the blood cell fraction analyzed on the transcriptional response of the following radiation-responsive genes: FDXR, CCNG1, MDM2, PHPT1, APOBEC3H, DDB2, SESN1, P21, PUMA, and GADD45. MATERIALS AND METHODS Whole blood from healthy donors was exposed to a 2 Gy X-ray dose with a dose rate of 0.5 Gy/min (output 13 mA, 250 kV peak, 0.2 mA) and incubated for 24 h at either 37, 22, or 4 °C. For mimicking the effect of transport conditions at different temperatures, samples incubated at 37 °C for 24 h were kept at 37, 22 or 4 °C for another 24 h. Comparisons of biomarker responses to IR between white blood cells (WBCs), peripheral blood mononuclear cells (PBMCs) and whole blood were carried out after a 2 Gy X-ray exposure and incubation at 37 °C for 24 hours. RESULTS Hypothermic conditions (22 or 4 °C) following irradiation drastically inhibited transcriptional responses to IR exposure. However, sample shipment at different temperatures did not affect gene expression level except for SESN1. The transcriptional response to IR of specific genes depended on the cell fraction used, apart from FDXR, CCNG1, and SESN1. CONCLUSION In conclusion, temperature during the incubation period and cell fraction but not the storing conditions during transport can influence the transcriptional response of specific genes. However, FDXR and CCNG1 showed a consistent response under all the different conditions tested demonstrating their reliability as individual biological dosimetry biomarkers.
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Affiliation(s)
- Farah Nasser
- Radiation Effects Department, Cancer Mechanisms and Biomarkers Group, Centre for Radiation, Chemical & Environmental Hazards, Public Health England, Chilton, Oxfordshire, United Kingdom
| | - Lourdes Cruz-Garcia
- Radiation Effects Department, Cancer Mechanisms and Biomarkers Group, Centre for Radiation, Chemical & Environmental Hazards, Public Health England, Chilton, Oxfordshire, United Kingdom
| | - Grainne O'Brien
- Radiation Effects Department, Cancer Mechanisms and Biomarkers Group, Centre for Radiation, Chemical & Environmental Hazards, Public Health England, Chilton, Oxfordshire, United Kingdom
| | - Christophe Badie
- Radiation Effects Department, Cancer Mechanisms and Biomarkers Group, Centre for Radiation, Chemical & Environmental Hazards, Public Health England, Chilton, Oxfordshire, United Kingdom
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15
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Cruz-Garcia L, O’Brien G, Sipos B, Mayes S, Tichý A, Sirák I, Davídková M, Marková M, Turner DJ, Badie C. In Vivo Validation of Alternative FDXR Transcripts in Human Blood in Response to Ionizing Radiation. Int J Mol Sci 2020; 21:ijms21217851. [PMID: 33113898 PMCID: PMC7660203 DOI: 10.3390/ijms21217851] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 10/19/2020] [Accepted: 10/21/2020] [Indexed: 12/20/2022] Open
Abstract
Following cell stress such as ionising radiation (IR) exposure, multiple cellular pathways are activated. We recently demonstrated that ferredoxin reductase (FDXR) has a remarkable IR-induced transcriptional responsiveness in blood. Here, we provided a first comprehensive FDXR variant profile following DNA damage. First, specific quantitative real-time polymerase chain reaction (qPCR) primers were designed to establish dose-responses for eight curated FDXR variants, all up-regulated after IR in a dose-dependent manner. The potential role of gender on the expression of these variants was tested, and neither the variants response to IR nor the background level of expression was profoundly affected; moreover, in vitro induction of inflammation temporarily counteracted IR response early after exposure. Importantly, transcriptional up-regulation of these variants was further confirmed in vivo in blood of radiotherapy patients. Full-length nanopore sequencing was performed to identify other FDXR variants and revealed the high responsiveness of FDXR-201 and FDXR-208. Moreover, FDXR-218 and FDXR-219 showed no detectable endogenous expression, but a clear detection after IR. Overall, we characterised 14 FDXR transcript variants and identified for the first time their response to DNA damage in vivo. Future studies are required to unravel the function of these splicing variants, but they already represent a new class of radiation exposure biomarkers.
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Affiliation(s)
- Lourdes Cruz-Garcia
- Cancer Mechanisms and Biomarkers Group, Radiation Effects Department, Centre for Radiation, Chemical & Environmental Hazards, Public Health England, Chilton, Oxfordshire OX11 0RQ, UK; (L.C.-G.); (G.O.)
| | - Grainne O’Brien
- Cancer Mechanisms and Biomarkers Group, Radiation Effects Department, Centre for Radiation, Chemical & Environmental Hazards, Public Health England, Chilton, Oxfordshire OX11 0RQ, UK; (L.C.-G.); (G.O.)
| | - Botond Sipos
- Oxford Nanopore Technologies, Gosling Building, Edmund Halley Way, Oxford OX4 4DQ, UK; (B.S.); (S.M.); (D.J.T.)
| | - Simon Mayes
- Oxford Nanopore Technologies, Gosling Building, Edmund Halley Way, Oxford OX4 4DQ, UK; (B.S.); (S.M.); (D.J.T.)
| | - Aleš Tichý
- Department of Radiobiology, Faculty of Military Health Sciences in Hradec Králové, University of Defence in Brno, 500 01 Hradec Králové, Czech Republic;
- Biomedical Research Centre, Hradec Králové University Hospital, 500 01 Hradec Králové, Czech Republic
| | - Igor Sirák
- Department of Oncology and Radiotherapy and 4th Department of Internal Medicine—Hematology, University Hospital, 500 05 Hradec Králové, Czech Republic;
| | - Marie Davídková
- Department of Radiation Dosimetry, Nuclear Physics Institute of the Czech Academy of Sciences, 180 00 Prague 8, Czech Republic;
| | - Markéta Marková
- Institute of Hematology and Blood Transfusion, 128 00 Praha 2, Czech Republic;
| | - Daniel J. Turner
- Oxford Nanopore Technologies, Gosling Building, Edmund Halley Way, Oxford OX4 4DQ, UK; (B.S.); (S.M.); (D.J.T.)
| | - Christophe Badie
- Cancer Mechanisms and Biomarkers Group, Radiation Effects Department, Centre for Radiation, Chemical & Environmental Hazards, Public Health England, Chilton, Oxfordshire OX11 0RQ, UK; (L.C.-G.); (G.O.)
- Correspondence: ; Tel.: +44-(0)1235-825-088; Fax: +44-(0)1235-833-891
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16
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Fan Y, Jia X, Xie T, Zhu L, He F. Radiosensitizing effects of c‑myc gene knockdown‑induced G2/M phase arrest by intrinsic stimuli via the mitochondrial signaling pathway. Oncol Rep 2020; 44:2669-2677. [PMID: 33125136 PMCID: PMC7640369 DOI: 10.3892/or.2020.7806] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 09/18/2020] [Indexed: 11/06/2022] Open
Abstract
Osteosarcoma is the most common primary malignant bone tumor in children and adolescents and its long‑term survival rate has stagnated in the past decades. Previous studies have shown that tumors in the G2/M phase are more sensitive to radiotherapy. The proto‑oncogene c‑myc is a transformed member of the myc family and c‑myc‑interacting zinc finger protein‑1 (Miz‑1) is a poly‑Cys2His2 zinc finger (ZF) activator of cell cycle regulator genes, such as the cyclin‑dependent kinase inhibitor p21. C‑myc can repress the expression of p21 by binding to Miz‑1 and abolishing the interaction between Miz‑1 and its co‑activators, which induces G2/M phase arrest. Therefore, the present study investigated the radiosensitizing effects of the c‑myc gene and the sensitizing apoptosis pathway, aiming to identify a more effective combination radiotherapy treatment for osteosarcoma. The present study demonstrated that the c‑myc gene was overexpressed in osteosarcoma cells compared to osteoblasts. Following inhibition of c‑myc gene expression in osteosarcoma cells, tumor proliferation was significantly hindered after inducing G2/M phase arrest via regulating G2/M phase‑associated proteins. Additionally, it was revealed that inhibiting c‑myc gene expression combined with radiotherapy could significantly increase the apoptosis rate of osteosarcoma cells via the mitochondrial signaling pathway. In summary, the present study verified the radiosensitizing effects of c‑myc gene knockdown‑induced G2/M phase arrest, which was achieved by intrinsic stimuli through the mitochondrial signaling pathway.
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Affiliation(s)
- Yunpeng Fan
- The Affiliated Hangzhou Hospital of Nanjing Medical University, Hangzhou, Zhejiang 310006, P.R. China
| | - Xiaofeng Jia
- College of Life Science, China Jiliang University, Hangzhou, Zhejiang 310018, P.R. China
| | - Tao Xie
- Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, P.R. China
| | - Liulong Zhu
- The Affiliated Hangzhou Hospital of Nanjing Medical University, Hangzhou, Zhejiang 310006, P.R. China
| | - Fan He
- Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, P.R. China
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17
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Shirley BC, Knoll JHM, Moquet J, Ainsbury E, Pham ND, Norton F, Wilkins RC, Rogan PK. Estimating partial-body ionizing radiation exposure by automated cytogenetic biodosimetry. Int J Radiat Biol 2020; 96:1492-1503. [PMID: 32910711 DOI: 10.1080/09553002.2020.1820611] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
PURPOSE Inhomogeneous exposures to ionizing radiation can be detected and quantified with the dicentric chromosome assay (DCA) of metaphase cells. Complete automation of interpretation of the DCA for whole-body irradiation has significantly improved throughput without compromising accuracy, however, low levels of residual false positive dicentric chromosomes (DCs) have confounded its application for partial-body exposure determination. MATERIALS AND METHODS We describe a method of estimating and correcting for false positive DCs in digitally processed images of metaphase cells. Nearly all DCs detected in unirradiated calibration samples are introduced by digital image processing. DC frequencies of irradiated calibration samples and those exposed to unknown radiation levels are corrected subtracting this false positive fraction from each. In partial-body exposures, the fraction of cells exposed, and radiation dose can be quantified after applying this modification of the contaminated Poisson method. RESULTS Dose estimates of three partially irradiated samples diverged 0.2-2.5 Gy from physical doses and irradiated cell fractions deviated by 2.3%-15.8% from the known levels. Synthetic partial-body samples comprised of unirradiated and 3 Gy samples from 4 laboratories were correctly discriminated as inhomogeneous by multiple criteria. Root mean squared errors of these dose estimates ranged from 0.52 to 1.14 Gy2 and from 8.1 to 33.3%2 for the fraction of cells irradiated. CONCLUSIONS Automated DCA can differentiate whole- from partial-body radiation exposures and provides timely quantification of estimated whole-body equivalent dose.
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Affiliation(s)
| | - Joan H M Knoll
- CytoGnomix Inc., London, Canada.,Department of Pathology and Laboratory Medicine, University of Western Ontario, London, Canada
| | | | | | | | | | | | - Peter K Rogan
- CytoGnomix Inc., London, Canada.,Departments of Biochemistry and Oncology, University of Western Ontario, London, Canada
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18
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Transcriptome-wide analysis and modelling of prognostic alternative splicing signatures in invasive breast cancer: a prospective clinical study. Sci Rep 2020; 10:16504. [PMID: 33020551 PMCID: PMC7536242 DOI: 10.1038/s41598-020-73700-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Accepted: 08/28/2020] [Indexed: 02/07/2023] Open
Abstract
Aberrant alternative splicing (AS) has been highly involved in the tumorigenesis and progression of most cancers. The potential role of AS in invasive breast cancer (IBC) remains largely unknown. In this study, RNA sequencing of IBC samples from The Cancer Genome Atlas was acquired. AS events were screened by conducting univariate and multivariate Cox analysis and least absolute shrinkage and selection operator regression. In total, 2146 survival-related AS events were identified from 1551 parental genes, of which 93 were related to prognosis, and a prognostic marker model containing 14 AS events was constructed. We also constructed the regulatory network of splicing factors (SFs) and AS events, and identified DDX39B as the node SF gene, and verified the accuracy of the network through experiments. Next, we performed quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) in triple negative breast cancer patients with different responses to neoadjuvant chemotherapy, and found that the exon-specific expression of EPHX2, C6orf141, and HERC4 was associated with the different status of patients that received neoadjuvant chemotherapy. In conclusion, this study found that DDX39B, EPHX2 (exo7), and HERC4 (exo23) can be used as potential targets for the treatment of breast cancer, which provides a new idea for the treatment of breast cancer.
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19
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Visweswaran S, Joseph S, Dhanasekaran J, Paneerselvam S, Annalakshmi O, Jose MT, Perumal V. Exposure of patients to low doses of X-radiation during neuro-interventional imaging and procedures: Dose estimation and analysis of γ-H2AX foci and gene expression in blood lymphocytes. MUTATION RESEARCH-GENETIC TOXICOLOGY AND ENVIRONMENTAL MUTAGENESIS 2020; 856-857:503237. [PMID: 32928370 DOI: 10.1016/j.mrgentox.2020.503237] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Revised: 08/03/2020] [Accepted: 08/04/2020] [Indexed: 11/19/2022]
Abstract
Radiation has widespread applications in medicine. However, despite the benefits of medical radiation exposures, adverse long-term health effects are cause for concern. Protein and gene biomarkers are early indicators of cellular response after low-dose exposure. We examined DNA damage by quantifying γ-H2AX foci and expression of twelve candidate genes in the blood lymphocytes of patients exposed to low doses of X-radiation during neuro-interventional procedures. Entrance surface dose (ESD; 10.92-1062.55 mGy) was measured by thermoluminescence dosimetry (TLD). Absorbed dose was estimated using γ-H2AX focus frequency and gene expression, with in vitro dose-response curves generated for the same biomarkers. γ-H2AX foci in post-exposure samples were significantly higher than in pre-exposure samples. Among the genes analysed, FDXR, ATM, BCL2, MDM2, TNFSF9, and PCNA showed increased expression; CDKN1A, DDB2, SESN1, BAX, and TNFRSF10B showed unchanged or decreased expression. Absorbed dose, estimated based on γ-H2AX focus frequency and gene expression changes, did not show any correlation with measured ESD. Patients undergoing interventional procedures receive considerable radiation doses, resulting in DNA damage and altered gene expression. Medical procedures should be carried out using the lowest radiation doses possible without compromising treatment.
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Affiliation(s)
- Shangamithra Visweswaran
- Department of Human Genetics, Sri Ramachandra Institute of Higher Education and Research (Deemed to be University), Porur, Chennai, 600116, India
| | - Santhosh Joseph
- Department of Neuro-Radiology, Sri Ramachandra Institute of Higher Education and Research (Deemed to be University), Porur, Chennai, 600116, India
| | - Jagadeesan Dhanasekaran
- Department of Neuro-Radiology, Sri Ramachandra Institute of Higher Education and Research (Deemed to be University), Porur, Chennai, 600116, India
| | - S Paneerselvam
- Department of Neuro-Radiology, Sri Ramachandra Institute of Higher Education and Research (Deemed to be University), Porur, Chennai, 600116, India
| | - O Annalakshmi
- Radiation Safety Division Unit, Indira Gandhi Centre for Atomic Research (IGCAR), Kalpakkam, 603102, Tamil Nadu, India
| | - M T Jose
- Radiation Safety Division Unit, Indira Gandhi Centre for Atomic Research (IGCAR), Kalpakkam, 603102, Tamil Nadu, India
| | - Venkatachalam Perumal
- Department of Human Genetics, Sri Ramachandra Institute of Higher Education and Research (Deemed to be University), Porur, Chennai, 600116, India.
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20
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Bryant J, White L, Coen N, Shields L, McClean B, Meade AD, Lyng FM, Howe O. MicroRNA Analysis of ATM-Deficient Cells Indicate PTEN and CCDN1 as Potential Biomarkers of Radiation Response. Radiat Res 2020; 193:520-530. [PMID: 32216710 DOI: 10.1667/rr15462.1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Accepted: 03/06/2020] [Indexed: 11/03/2022]
Abstract
Genetic and epigenetic profile changes associated with individual radiation sensitivity are well documented and have led to enhanced understanding of the mechanisms of the radiation-induced DNA damage response. However, the search continues to identify reliable biomarkers of individual radiation sensitivity. Herein, we report on a multi-biomarker approach using traditional cytogenetic biomarkers, DNA damage biomarkers and transcriptional microRNA (miR) biomarkers coupled with their potential gene targets to identify radiosensitivity in ataxia-telangiectasia mutated (ATM)-deficient lymphoblastoid cell lines (LCL); ATM-proficient cell lines were used as controls. Cells were 0.05 and 0.5 Gy irradiated, using a linear accelerator, with sham-irradiated cells as controls. At 1 h postirradiation, cells were fixed for γ-H2AX analysis as a measurement of DNA damage, and cytogenetic analysis using the G2 chromosomal sensitivity assay, G-banding and FISH techniques. RNA was also isolated for genetic profiling by microRNA (miR) and RT-PCR analysis. A panel of 752 miR were analyzed, and potential target genes, phosphatase and tensin homolog (PTEN) and cyclin D1 (CCND1), were measured. The cytogenetic assays revealed that although the control cell line had functional cell cycle checkpoints, the radiosensitivity of the control and AT cell lines were similar. Analysis of DNA damage in all cell lines, including an additional control cell line, showed elevated γ-H2AX levels for only one AT cell line. Of the 752 miR analyzed, eight miR were upregulated, and six miR were downregulated in the AT cells compared to the control. Upregulated miR-152-3p, miR-24-5p and miR-92-15p and all downregulated miR were indicated as modulators of PTEN and CCDN1. Further measurement of both genes validated their potential role as radiation-response biomarkers. The multi-biomarker approach not only revealed potential candidates for radiation response, but provided additional mechanistic insights into the response in AT-deficient cells.
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Affiliation(s)
- Jane Bryant
- Radiation and Environmental Science Centre (RESC), FOCAS Research Institute
| | - Lisa White
- Radiation and Environmental Science Centre (RESC), FOCAS Research Institute.,School of Biological and Health Sciences, Technological University Dublin, City Campus, Dublin 8, Ireland
| | - Natasha Coen
- Department of Clinical Genetics, Division of Cytogenetics, Our Lady's Children's Hospital, Crumlin, Dublin 12, Ireland
| | - Laura Shields
- Medical Physics Department, St Luke's Radiation Oncology Centre, Rathgar, Dublin 6, Ireland
| | - Brendan McClean
- Medical Physics Department, St Luke's Radiation Oncology Centre, Rathgar, Dublin 6, Ireland
| | - Aidan D Meade
- Radiation and Environmental Science Centre (RESC), FOCAS Research Institute.,School of Physics & Clinical & Optometric Sciences, Technological University Dublin, City Campus, Dublin 8, Ireland
| | - Fiona M Lyng
- Radiation and Environmental Science Centre (RESC), FOCAS Research Institute.,School of Physics & Clinical & Optometric Sciences, Technological University Dublin, City Campus, Dublin 8, Ireland
| | - Orla Howe
- Radiation and Environmental Science Centre (RESC), FOCAS Research Institute.,School of Biological and Health Sciences, Technological University Dublin, City Campus, Dublin 8, Ireland
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21
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Vanderstraeten J, Baselet B, Buset J, Ben Said N, de Ville de Goyet C, Many MC, Gérard AC, Derradji H. Modulation of VEGF Expression and Oxidative Stress Response by Iodine Deficiency in Irradiated Cancerous and Non-Cancerous Breast Cells. Int J Mol Sci 2020; 21:ijms21113963. [PMID: 32486504 PMCID: PMC7312479 DOI: 10.3390/ijms21113963] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 05/23/2020] [Accepted: 05/28/2020] [Indexed: 12/21/2022] Open
Abstract
Breast cancer remains a major concern and its physiopathology is influenced by iodine deficiency (ID) and radiation exposure. Since radiation and ID can separately induce oxidative stress (OS) and microvascular responses in breast, their combination could additively increase these responses. Therefore, ID was induced in MCF7 and MCF12A breast cell lines by medium change. Cells were then X-irradiated with doses of 0.05, 0.1, or 3 Gy. In MCF12A cells, both ID and radiation (0.1 and 3 Gy) increased OS and vascular endothelial growth factor (VEGF) expression, with an additive effect when the highest dose was combined with ID. However, in MCF7 cells no additive effect was observed. VEGF mRNA up-regulation was reactive oxygen species (ROS)-dependent, involving radiation-induced mitochondrial ROS. Results on total VEGF mRNA hold true for the pro-angiogenic isoform VEGF165 mRNA, but the treatments did not modulate the anti-angiogenic isoform VEGF165b. Radiation-induced antioxidant response was differentially regulated upon ID in both cell lines. Thus, radiation response is modulated according to iodine status and cell type and can lead to additive effects on ROS and VEGF. As these are often involved in cancer initiation and progression, we believe that iodine status should be taken into account in radiation prevention policies.
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Affiliation(s)
- Jessica Vanderstraeten
- Pole of Morphology, Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain (UCL), 1200 Brussels, Belgium; (N.B.S.); (C.d.V.d.G.); (M.-C.M.)
- Correspondence:
| | - Bjorn Baselet
- Radiobiology Unit, Belgian Nuclear Research Centre (SCK•CEN), 2400 Mol, Belgium; (B.B.); (J.B.); (H.D.)
| | - Jasmine Buset
- Radiobiology Unit, Belgian Nuclear Research Centre (SCK•CEN), 2400 Mol, Belgium; (B.B.); (J.B.); (H.D.)
| | - Naziha Ben Said
- Pole of Morphology, Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain (UCL), 1200 Brussels, Belgium; (N.B.S.); (C.d.V.d.G.); (M.-C.M.)
| | - Christine de Ville de Goyet
- Pole of Morphology, Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain (UCL), 1200 Brussels, Belgium; (N.B.S.); (C.d.V.d.G.); (M.-C.M.)
| | - Marie-Christine Many
- Pole of Morphology, Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain (UCL), 1200 Brussels, Belgium; (N.B.S.); (C.d.V.d.G.); (M.-C.M.)
| | - Anne-Catherine Gérard
- Service d’Endocrino-Diabétologie, Centre Hospitalier Régional (CHR) Mons-Hainaut, 7000 Mons, Belgium;
| | - Hanane Derradji
- Radiobiology Unit, Belgian Nuclear Research Centre (SCK•CEN), 2400 Mol, Belgium; (B.B.); (J.B.); (H.D.)
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22
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Huang R, Liu X, Li H, Ning H, Zhou PK. PRKCSH Alternative Splicing Involves in Silica-Induced Expression of Epithelial-Mesenchymal Transition Markers and Cell Proliferation. Dose Response 2020; 18:1559325820923825. [PMID: 32425726 PMCID: PMC7218327 DOI: 10.1177/1559325820923825] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2020] [Revised: 03/10/2020] [Accepted: 04/09/2020] [Indexed: 12/13/2022] Open
Abstract
Background: Mounting evidence suggests that alternative splicing is one of the ways for cells to adapt to environmental stress insults. The aim of this study was firstly to examine the effect of silica on the alternative splicing of lung fibrosis–associated genes. Methods: Microarray analysis was used to construct the alternative splicing profile. Functional experiments were conducted using Cell Counting Kit-8, cell cycle, apoptosis, and epithelial–mesenchymal transition (EMT) analyses. Alternative splicing variants were verified by quantitative real-time polymerase chain reaction (qRT-PCR) polymerase chain reaction method. Results: A total of 1850 genes that have alternative splices in response to silica insult were identified. PCDHB11, MALAT1, MT2A, RP11-126D17.1, and RP11-415I12.2 are the top 5 upregulated genes with occurrence of alternative splice, whereas NDE1, RNPEPL1, TREML2, CSF2RB, and PRKCSH are the top 5 downregulated genes with occurrence of alternative splice. Bioinformatic analysis showed these genes with the occurrence of alternative splice mainly are associated with EMT pathway, N-Glycan biosynthesis, and leukocyte transendothelial migration. Further study indicated that PRKCSH-2 knockdown promotes A549 cell proliferation potential by partially promoting EMT signals. Conclusions: Significant changes in alternative splicing of silicosis-associated genes occur in patients with silicosis in silica conditions. Our study provides basic founding for further investigation into the detail molecular mechanisms underlying silica-induced silicosis.
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Affiliation(s)
- Ruixue Huang
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Xiaodan Liu
- Department of Radiation Biology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, AMMS, Beijing, China
| | - He Li
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Huacheng Ning
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.,Department of Radiation Biology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, AMMS, Beijing, China
| | - Ping-Kun Zhou
- Department of Radiation Biology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, AMMS, Beijing, China
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23
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Duale N, Eide DM, Amberger ML, Graupner A, Brede DA, Olsen AK. Using prediction models to identify miRNA-based markers of low dose rate chronic stress. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 717:137068. [PMID: 32062256 DOI: 10.1016/j.scitotenv.2020.137068] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Revised: 01/13/2020] [Accepted: 01/31/2020] [Indexed: 06/10/2023]
Abstract
Robust biomarkers of exposure to chronic low dose stressors such as ionizing radiation, particularly following chronic low doses and dose-rates, are urgently needed. MicroRNAs (miRNA) have emerged as promising markers of exposure to high dose and dose-rate. Here, we evaluated the feasibility of classifying γ-radiation exposure at different dose rates based on miRNA expression levels. Our objective was to identify miRNA-signatures discriminating between exposure to γ-radiation or not, including exposure to chronic low dose rates. We exposed male CBA/CaOlaHsd and C57BL/6NHsd wild-type mice to 0, 2.5, 10 and 100 mGy/h γ-irradiation (3 Gy total-dose). From an initial screening of 576 miRNAs, a set of 21 signature-miRNAs was identified based on differential expression (>± 2-fold or p < 0.05). This 21-signature miRNA panel was investigated in 39 samples from 4/5 livers/group/mouse strain. A set of significantly differentially expressed miRNAs was identified in all γ-irradiated samples. Most miRNAs were upregulated in all γ-irradiated groups compared to control, and functional analysis of these miRNAs revealed involvement in several cancer-related signaling pathways. To identify miRNAs that distinguished exposed mice from controls, nine prediction methods; i.e., six variants of generalized regression models, random-forest, boosted-tree and nearest-shrunken-centroid (PAM) were used. The generalized regression methods seem to outperform the other prediction methods for classification of irradiated and control samples. Using the 21-miRNA panel in the prediction models, we identified sets of candidate miRNA-markers that predict exposure to γ-radiation. Among the top10 miRNA predictors, contributing most in each of the three γ-irradiated groups, three miRNA predictors (miR-140-3p, miR-133a-5p and miR-145a-5p) were common. Three miRNAs, miR-188-3p/26a-5p/26b-5p, were specific for lower dose-rate γ-radiation. Similarly, exposure to the high dose-rates was also correctly predicted, including mice exposed to X-rays. Our approach identifying miRNA-based signature panels may be extended to classify exposure to environmental, nutritional and life-style-related stressors, including chronic low-stress scenarios.
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Affiliation(s)
- Nur Duale
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway; Centre of Excellence "Centre for Environmental Radiation" (CERAD), Norway.
| | - Dag M Eide
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway; Centre of Excellence "Centre for Environmental Radiation" (CERAD), Norway
| | - Maria L Amberger
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway; Centre of Excellence "Centre for Environmental Radiation" (CERAD), Norway
| | - Anne Graupner
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway; Centre of Excellence "Centre for Environmental Radiation" (CERAD), Norway
| | - Dag A Brede
- Centre of Excellence "Centre for Environmental Radiation" (CERAD), Norway; Faculty of Environmental Sciences and Natural Resource Management (MINA), Norwegian University of Life Sciences (NMBU), Ås, Norway
| | - Ann K Olsen
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway; Centre of Excellence "Centre for Environmental Radiation" (CERAD), Norway
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24
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Zhao L, He X, Shang Y, Bao C, Peng A, Lei X, Han P, Mi D, Sun Y. Identification of potential radiation-responsive biomarkers based on human orthologous genes with possible roles in DNA repair pathways by comparison between Arabidopsis thaliana and homo sapiens. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 702:135076. [PMID: 31734608 DOI: 10.1016/j.scitotenv.2019.135076] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 10/18/2019] [Accepted: 10/18/2019] [Indexed: 06/10/2023]
Abstract
Rapid and reliable ionization radiation (IR) exposure estimation has become increasingly important in environment due to the urgent requirement of medical evaluation and treatment in the event of nuclear accident emergency. Human DNA repair genes can be identified as important candidate biomarkers to assess IR exposure, while how to find the enough sensitive and specific biomarkers in the DNA repair networks is still challenged and not fully determined. The conserved features of DNA repair pathways may facilitate interdisciplinary studies that cross the traditional boundaries between animal and plant biology, with the aim of identifying undiscovered human DNA repair genes for potential radiation-responsive biomarkers. In this work, an in silico method of homologous comparison was performed to identify the human orthologues of A. thaliana DNA repair genes, and thereby to explore the sensitive and specific human radiation-responsive genes to evaluate the IR exposure levels. The results showed that a total of 16 putative candidate genes were involved in the human DNA repair pathways of homologous recombination (HR) and non-homologous end joining (NHEJ), and most of them were confirmed by previous experiments. Additionally, we analyzed the gene expression patterns of these 16 candidate genes in several human transcript microarray datasets with different IR treatments. The results indicated that most of the gene expression levels for these candidate genes were significantly changed under different radiation treatments. Based on these results, we integrated these putative human DNA repair genes into the DNA repair pathways to propose new insights of the HR and NHEJ pathways, which can also provide the potential targets for the development of radiation biomarkers. Notably, two putative DNA repair genes, named ERCC1 and ESCO2, were identified and were considered to be the sensitive and specific biomarkers in response to γ-ray exposures.
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Affiliation(s)
- Lei Zhao
- Institute of Environmental Systems Biology, College of Environmental Science and Engineering, Dalian Maritime University, Dalian 116026, Liaoning, China
| | - Xinye He
- Institute of Environmental Systems Biology, College of Environmental Science and Engineering, Dalian Maritime University, Dalian 116026, Liaoning, China
| | - Yuxuan Shang
- Institute of Environmental Systems Biology, College of Environmental Science and Engineering, Dalian Maritime University, Dalian 116026, Liaoning, China
| | - Chengyu Bao
- Institute of Environmental Systems Biology, College of Environmental Science and Engineering, Dalian Maritime University, Dalian 116026, Liaoning, China
| | - Ailin Peng
- Institute of Environmental Systems Biology, College of Environmental Science and Engineering, Dalian Maritime University, Dalian 116026, Liaoning, China
| | - Xiaohua Lei
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
| | - Pei Han
- Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, China
| | - Dong Mi
- College of Science, Dalian Maritime University, Dalian, Liaoning, China.
| | - Yeqing Sun
- Institute of Environmental Systems Biology, College of Environmental Science and Engineering, Dalian Maritime University, Dalian 116026, Liaoning, China.
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25
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Cruz-Garcia L, O'Brien G, Sipos B, Mayes S, Love MI, Turner DJ, Badie C. Generation of a Transcriptional Radiation Exposure Signature in Human Blood Using Long-Read Nanopore Sequencing. Radiat Res 2019; 193:143-154. [PMID: 31829904 DOI: 10.1667/rr15476.1] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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 ex vivo X irradiated. After PBMC isolation, irradiated samples were incubated along with the controls for 24 h at 37°C. RNA was extracted, poly(A)+ enriched and reverse-transcribed before sequencing. The data generated was analyzed using a Snakemake pipeline modified to handle paired samples. The sequencing analysis identified a radiation signature consisting of 46 differentially expressed genes (DEGs) which included 41 protein-coding genes, a long non-coding RNA and four pseudogenes, five of which have been identified as radiation-responsive transcripts for the first time. The genes in which transcriptional expression is most significantly modified after radiation exposure were APOBEC3H and FDXR, presenting a 25- and 28-fold change on average, respectively. These levels of transcriptional response were comparable to results we obtained by quantitative polymerase chain reaction (qPCR) analysis. In vivo exposure analyses showed a transcriptional radioresponse at 24 h postirradiation for both genes together with a strong dose-dependent response in blood irradiated ex vivo. Finally, extrapolating from the data we obtained, the minimum sequencing time required to detect an irradiated sample using APOBEC3H transcripts would be less than 3 min for a total of 50,000 reads. Future improvements, in sample processing and bioinformatic pipeline for specific radiation-responsive transcript identification, will allow the provision of a portable, rapid, real-time biodosimetry platform based on this new sequencing technology. In summary, our data show that nanopore sequencing can identify radiation-responsive genes and can also be used for identification of new transcripts.
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Affiliation(s)
- Lourdes Cruz-Garcia
- Cancer 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'Brien
- Cancer Mechanisms and Biomarkers Group, Radiation Effects Department, Centre for Radiation, Chemical and Environmental Hazards Public Health England Chilton, Didcot, OX11 ORQ United Kingdom
| | - Botond Sipos
- Oxford Nanopore Technologies, OX4 4DQ, Oxford, United Kingdom
| | - Simon Mayes
- Oxford Nanopore Technologies, OX4 4DQ, Oxford, United Kingdom
| | - Michael I Love
- Departments of Biostatistics.,Departments of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27516
| | - Daniel J Turner
- Oxford Nanopore Technologies, OX4 4DQ, Oxford, United Kingdom
| | - Christophe Badie
- Cancer Mechanisms and Biomarkers Group, Radiation Effects Department, Centre for Radiation, Chemical and Environmental Hazards Public Health England Chilton, Didcot, OX11 ORQ United Kingdom
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26
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Ghandhi SA, Shuryak I, Morton SR, Amundson SA, Brenner DJ. New Approaches for Quantitative Reconstruction of Radiation Dose in Human Blood Cells. Sci Rep 2019; 9:18441. [PMID: 31804590 PMCID: PMC6895166 DOI: 10.1038/s41598-019-54967-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Accepted: 11/19/2019] [Indexed: 12/22/2022] Open
Abstract
In the event of a nuclear attack or large-scale radiation event, there would be an urgent need for assessing the dose to which hundreds or thousands of individuals were exposed. Biodosimetry approaches are being developed to address this need, including transcriptomics. Studies have identified many genes with potential for biodosimetry, but, to date most have focused on classification of samples by exposure levels, rather than dose reconstruction. We report here a proof-of-principle study applying new methods to select radiation-responsive genes to generate quantitative, rather than categorical, radiation dose reconstructions based on a blood sample. We used a new normalization method to reduce effects of variability of signal intensity in unirradiated samples across studies; developed a quantitative dose-reconstruction method that is generally under-utilized compared to categorical methods; and combined these to determine a gene set as a reconstructor. Our dose-reconstruction biomarker was trained using two data sets and tested on two independent ones. It was able to reconstruct dose up to 4.5 Gy with root mean squared error (RMSE) of ± 0.35 Gy on a test dataset using the same platform, and up to 6.0 Gy with RMSE of ± 1.74 Gy on a test set using a different platform.
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Affiliation(s)
- Shanaz A Ghandhi
- Columbia University Irving Medical Center, 630, W 168th street, VC11-237, New York, NY, 10032, USA.
| | - Igor Shuryak
- Columbia University Irving Medical Center, 630, W 168th street, VC11-237, New York, NY, 10032, USA
| | - Shad R Morton
- Columbia University Irving Medical Center, 630, W 168th street, VC11-237, New York, NY, 10032, USA
| | - Sally A Amundson
- Columbia University Irving Medical Center, 630, W 168th street, VC11-237, New York, NY, 10032, USA
| | - David J Brenner
- Columbia University Irving Medical Center, 630, W 168th street, VC11-237, New York, NY, 10032, USA
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27
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Stanisavljevic D, Popovic J, Petrovic I, Davidovic S, Atkinson MJ, Anastasov N, Stevanovic M. Radiation effects on early phase of NT2/D1 neural differentiation in vitro. Int J Radiat Biol 2019; 95:1627-1639. [PMID: 31509479 DOI: 10.1080/09553002.2019.1665207] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Purpose: Widespread medical use of radiation in diagnosis, imaging and treatment of different central nervous system malignancies lead to various consequences. Aim of this study was to further elucidate mechanism of cell response to radiation and possible consequence on neural differentiation.Materials and methods: NT2/D1 cells that resemble neural progenitors were used as a model system. Undifferentiated NT2/D1 cells and NT2/D1 cells in the early phase of neural differentiation were irradiated with low (0.2 Gy) and moderate (2 Gy) doses of γ radiation. The effect was analyzed on apoptosis, cell cycle, senescence, spheroid formation and the expression of genes and miRNAs involved in the regulation of pluripotency or neural differentiation.Results: Two grays of irradiation induced apoptosis, senescence and cell cycle arrest of NT2/D1 cells, accompanied with altered expression of several genes (SOX2, OCT4, SOX3, PAX6) and miRNAs (miR-219, miR-21, miR124-a). Presented results show that 2 Gy of radiation significantly affected early phase of neural differentiation in vitro.Conclusions: These results suggest that 2 Gy of radiation significantly affected early phase of neural differentiation and affect the population of neural progenitors. These findings might help in better understanding of side effects of radiotherapy in treatments of central nervous system malignancies.
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Affiliation(s)
- Danijela Stanisavljevic
- University of Belgrade, Institute of Molecular Genetics and Genetic Engineering, Belgrade, Serbia
| | - Jelena Popovic
- University of Belgrade, Institute of Molecular Genetics and Genetic Engineering, Belgrade, Serbia
| | - Isidora Petrovic
- University of Belgrade, Institute of Molecular Genetics and Genetic Engineering, Belgrade, Serbia
| | - Slobodan Davidovic
- University of Belgrade, Institute of Molecular Genetics and Genetic Engineering, Belgrade, Serbia
| | - Michael J Atkinson
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Radiation Biology, Neuherberg, Germany.,Chair of Radiation Biology, Technical University of Munich, Munich, Germany
| | - Nataša Anastasov
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Radiation Biology, Neuherberg, Germany
| | - Milena Stevanovic
- University of Belgrade, Institute of Molecular Genetics and Genetic Engineering, Belgrade, Serbia.,University of Belgrade, Faculty of Biology, Belgrade, Serbia.,Serbian Academy of Sciences and Arts, Belgrade, Serbia
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28
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Mfossa ACM, Thekkekara Puthenparampil H, Inalegwu A, Coolkens A, Baatout S, Benotmane MA, Huylebroeck D, Quintens R. Exposure to Ionizing Radiation Triggers Prolonged Changes in Circular RNA Abundance in the Embryonic Mouse Brain and Primary Neurons. Cells 2019; 8:E778. [PMID: 31357500 PMCID: PMC6721538 DOI: 10.3390/cells8080778] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2019] [Revised: 07/12/2019] [Accepted: 07/24/2019] [Indexed: 01/07/2023] Open
Abstract
The exposure of mouse embryos in utero and primary cortical neurons to ionizing radiation results in the P53-dependent activation of a subset of genes that is highly induced during brain development and neuronal maturation, a feature that these genes reportedly share with circular RNAs (circRNAs). Interestingly, some of these genes are predicted to express circular transcripts. In this study, we validated the abundance of the circular transcript variants of four P53 target genes (Pvt1, Ano3, Sec14l5, and Rnf169). These circular variants were overall more stable than their linear counterparts. They were furthermore highly enriched in the brain and their transcript levels continuously increase during subsequent developmental stages (from embryonic day 12 until adulthood), while no further increase could be observed for linear mRNAs beyond post-natal day 30. Finally, whereas radiation-induced expression of P53 target mRNAs peaks early after exposure, several of the circRNAs showed prolonged induction in irradiated embryonic mouse brain, primary mouse cortical neurons, and mouse blood. Together, our results indicate that the circRNAs from these P53 target genes are induced in response to radiation and they corroborate the findings that circRNAs may represent biomarkers of brain age. We also propose that they may be superior to mRNA as long-term biomarkers for radiation exposure.
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Affiliation(s)
- André Claude Mbouombouo Mfossa
- Radiobiology Unit, Belgian Nuclear Research Centre, SCK·CEN, 2400 Mol, Belgium
- Department of Development and Regeneration, KU Leuven, 3000 Leuven, Belgium
| | | | - Auchi Inalegwu
- Radiobiology Unit, Belgian Nuclear Research Centre, SCK·CEN, 2400 Mol, Belgium
| | - Amelie Coolkens
- Radiobiology Unit, Belgian Nuclear Research Centre, SCK·CEN, 2400 Mol, Belgium
| | - Sarah Baatout
- Radiobiology Unit, Belgian Nuclear Research Centre, SCK·CEN, 2400 Mol, Belgium
| | | | - Danny Huylebroeck
- Department of Development and Regeneration, KU Leuven, 3000 Leuven, Belgium
- Department of Cell Biology, Erasmus University Medical Center, 3015 CN Rotterdam, The Netherlands
| | - Roel Quintens
- Radiobiology Unit, Belgian Nuclear Research Centre, SCK·CEN, 2400 Mol, Belgium.
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29
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Macaeva E, Mysara M, De Vos WH, Baatout S, Quintens R. Gene expression-based biodosimetry for radiological incidents: assessment of dose and time after radiation exposure. Int J Radiat Biol 2018; 95:64-75. [PMID: 30247087 DOI: 10.1080/09553002.2018.1511926] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
PURPOSE In order to ensure efficient use of medical resources following a radiological incident, there is an urgent need for high-throughput time-efficient biodosimetry tools. In the present study, we tested the applicability of a gene expression signature for the prediction of exposure dose as well as the time elapsed since irradiation. MATERIALS AND METHODS We used whole blood samples from seven healthy volunteers as reference samples (X-ray doses: 0, 25, 50, 100, 500, 1000, and 2000 mGy; time points: 8, 12, 24, 36 and 48 h) and samples from seven other individuals as 'blind samples' (20 samples in total). RESULTS Gene expression values normalized to the reference gene without normalization to the unexposed controls were sufficient to predict doses with a correlation coefficient between the true and the predicted doses of 0.86. Importantly, we could also classify the samples according to the time since exposure with a correlation coefficient between the true and the predicted time point of 0.96. Because of the dynamic nature of radiation-induced gene expression, this feature will be of critical importance for adequate gene expression-based dose prediction in a real emergency situation. In addition, in this study we also compared different methodologies for RNA extraction available on the market and suggested the one most suitable for emergency situation which does not require on-spot availability of any specific reagents or equipment. CONCLUSIONS Our results represent an important advancement in the application of gene expression for biodosimetry purposes.
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Affiliation(s)
- Ellina Macaeva
- a Interdisciplinary Biosciences Group, Belgian Nuclear Research Centre, SCK•CEN, Mol , Belgium.,b Department of Molecular Biotechnology , Ghent University , Ghent , Belgium
| | - Mohamed Mysara
- a Interdisciplinary Biosciences Group, Belgian Nuclear Research Centre, SCK•CEN, Mol , Belgium
| | - Winnok H De Vos
- b Department of Molecular Biotechnology , Ghent University , Ghent , Belgium.,c Department of Veterinary Sciences , University of Antwerp , Belgium
| | - Sarah Baatout
- a Interdisciplinary Biosciences Group, Belgian Nuclear Research Centre, SCK•CEN, Mol , Belgium.,b Department of Molecular Biotechnology , Ghent University , Ghent , Belgium
| | - Roel Quintens
- a Interdisciplinary Biosciences Group, Belgian Nuclear Research Centre, SCK•CEN, Mol , Belgium
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30
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Lacombe J, Sima C, Amundson SA, Zenhausern F. Candidate gene biodosimetry markers of exposure to external ionizing radiation in human blood: A systematic review. PLoS One 2018; 13:e0198851. [PMID: 29879226 PMCID: PMC5991767 DOI: 10.1371/journal.pone.0198851] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Accepted: 05/25/2018] [Indexed: 12/22/2022] Open
Abstract
Purpose To compile a list of genes that have been reported to be affected by external ionizing radiation (IR) and to assess their performance as candidate biomarkers for individual human radiation dosimetry. Methods Eligible studies were identified through extensive searches of the online databases from 1978 to 2017. Original English-language publications of microarray studies assessing radiation-induced changes in gene expression levels in human blood after external IR were included. Genes identified in at least half of the selected studies were retained for bio-statistical analysis in order to evaluate their diagnostic ability. Results 24 studies met the criteria and were included in this study. Radiation-induced expression of 10,170 unique genes was identified and the 31 genes that have been identified in at least 50% of studies (12/24 studies) were selected for diagnostic power analysis. Twenty-seven genes showed a significant Spearman’s correlation with radiation dose. Individually, TNFSF4, FDXR, MYC, ZMAT3 and GADD45A provided the best discrimination of radiation dose < 2 Gy and dose ≥ 2 Gy according to according to their maximized Youden’s index (0.67, 0.55, 0.55, 0.55 and 0.53 respectively). Moreover, 12 combinations of three genes display an area under the Receiver Operating Curve (ROC) curve (AUC) = 1 reinforcing the concept of biomarker combinations instead of looking for an ideal and unique biomarker. Conclusion Gene expression is a promising approach for radiation dosimetry assessment. A list of robust candidate biomarkers has been identified from analysis of the studies published to date, confirming for example the potential of well-known genes such as FDXR and TNFSF4 or highlighting other promising gene such as ZMAT3. However, heterogeneity in protocols and analysis methods will require additional studies to confirm these results.
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Affiliation(s)
- Jerome Lacombe
- Center for Applied NanoBioscience and Medicine, University of Arizona, Phoenix, Arizona, United States of America
- * E-mail:
| | - Chao Sima
- Center for Bioinformatics and Genomic Systems Engineering, Texas A&M Engineering Experiment Station, College Station, TX, United States of America
| | - Sally A. Amundson
- Center for Radiological Research, Columbia University Medical Center, New York, NY, United States of America
| | - Frederic Zenhausern
- Center for Applied NanoBioscience and Medicine, University of Arizona, Phoenix, Arizona, United States of America
- Honor Health Research Institute, Scottsdale, Arizona, United States of America
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
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31
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Zhao JZ, Mucaki EJ, Rogan PK. Predicting ionizing radiation exposure using biochemically-inspired genomic machine learning. F1000Res 2018; 7:233. [PMID: 29904591 PMCID: PMC5981198 DOI: 10.12688/f1000research.14048.2] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/11/2018] [Indexed: 12/20/2022] Open
Abstract
Background: Gene signatures derived from transcriptomic data using machine learning methods have shown promise for biodosimetry testing. These signatures may not be sufficiently robust for large scale testing, as their performance has not been adequately validated on external, independent datasets. The present study develops human and murine signatures with biochemically-inspired machine learning that are strictly validated using k-fold and traditional approaches. Methods: Gene Expression Omnibus (GEO) datasets of exposed human and murine lymphocytes were preprocessed via nearest neighbor imputation and expression of genes implicated in the literature to be responsive to radiation exposure (n=998) were then ranked by Minimum Redundancy Maximum Relevance (mRMR). Optimal signatures were derived by backward, complete, and forward sequential feature selection using Support Vector Machines (SVM), and validated using k-fold or traditional validation on independent datasets. Results: The best human signatures we derived exhibit k-fold validation accuracies of up to 98% ( DDB2, PRKDC, TPP2, PTPRE, and GADD45A) when validated over 209 samples and traditional validation accuracies of up to 92% ( DDB2, CD8A, TALDO1, PCNA, EIF4G2, LCN2, CDKN1A, PRKCH, ENO1, and PPM1D) when validated over 85 samples. Some human signatures are specific enough to differentiate between chemotherapy and radiotherapy. Certain multi-class murine signatures have sufficient granularity in dose estimation to inform eligibility for cytokine therapy (assuming these signatures could be translated to humans). We compiled a list of the most frequently appearing genes in the top 20 human and mouse signatures. More frequently appearing genes among an ensemble of signatures may indicate greater impact of these genes on the performance of individual signatures. Several genes in the signatures we derived are present in previously proposed signatures. Conclusions: Gene signatures for ionizing radiation exposure derived by machine learning have low error rates in externally validated, independent datasets, and exhibit high specificity and granularity for dose estimation.
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Affiliation(s)
- Jonathan Z.L. Zhao
- Department of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, ON, N6A 2C1, Canada
- Department of Computer Science, Faculty of Science, Western University, London, ON, N6A 2C1, Canada
| | - Eliseos J. Mucaki
- Department of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, ON, N6A 2C1, Canada
| | - Peter K. Rogan
- Department of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, ON, N6A 2C1, Canada
- Department of Computer Science, Faculty of Science, Western University, London, ON, N6A 2C1, Canada
- Department of Epidemiology & Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, N6A 2C1, Canada
- CytoGnomix Inc., London, ON, N5X 3X5, Canada
- Department of Oncology, Schulich School of Medicine and Dentistry, Western University, London, ON, N6A 2C1, Canada
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Zhao JZ, Mucaki EJ, Rogan PK. Predicting ionizing radiation exposure using biochemically-inspired genomic machine learning. F1000Res 2018; 7:233. [PMID: 29904591 PMCID: PMC5981198 DOI: 10.12688/f1000research.14048.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/19/2018] [Indexed: 09/27/2023] Open
Abstract
Background: Gene signatures derived from transcriptomic data using machine learning methods have shown promise for biodosimetry testing. These signatures may not be sufficiently robust for large scale testing, as their performance has not been adequately validated on external, independent datasets. The present study develops human and murine signatures with biochemically-inspired machine learning that are strictly validated using k-fold and traditional approaches. Methods: Gene Expression Omnibus (GEO) datasets of exposed human and murine lymphocytes were preprocessed via nearest neighbor imputation and expression of genes implicated in the literature to be responsive to radiation exposure (n=998) were then ranked by Minimum Redundancy Maximum Relevance (mRMR). Optimal signatures were derived by backward, complete, and forward sequential feature selection using Support Vector Machines (SVM), and validated using k-fold or traditional validation on independent datasets. Results: The best human signatures we derived exhibit k-fold validation accuracies of up to 98% ( DDB2, PRKDC, TPP2, PTPRE, and GADD45A) when validated over 209 samples and traditional validation accuracies of up to 92% ( DDB2, CD8A, TALDO1, PCNA, EIF4G2, LCN2, CDKN1A, PRKCH, ENO1, and PPM1D) when validated over 85 samples. Some human signatures are specific enough to differentiate between chemotherapy and radiotherapy. Certain multi-class murine signatures have sufficient granularity in dose estimation to inform eligibility for cytokine therapy (assuming these signatures could be translated to humans). We compiled a list of the most frequently appearing genes in the top 20 human and mouse signatures. More frequently appearing genes among an ensemble of signatures may indicate greater impact of these genes on the performance of individual signatures. Several genes in the signatures we derived are present in previously proposed signatures. Conclusions: Gene signatures for ionizing radiation exposure derived by machine learning have low error rates in externally validated, independent datasets, and exhibit high specificity and granularity for dose estimation.
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Affiliation(s)
- Jonathan Z.L. Zhao
- Department of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, ON, N6A 2C1, Canada
- Department of Computer Science, Faculty of Science, Western University, London, ON, N6A 2C1, Canada
| | - Eliseos J. Mucaki
- Department of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, ON, N6A 2C1, Canada
| | - Peter K. Rogan
- Department of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, ON, N6A 2C1, Canada
- Department of Computer Science, Faculty of Science, Western University, London, ON, N6A 2C1, Canada
- Department of Epidemiology & Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, N6A 2C1, Canada
- CytoGnomix Inc., London, ON, N5X 3X5, Canada
- Department of Oncology, Schulich School of Medicine and Dentistry, Western University, London, ON, N6A 2C1, Canada
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Nikitaki Z, Holá M, Donà M, Pavlopoulou A, Michalopoulos I, Angelis KJ, Georgakilas AG, Macovei A, Balestrazzi A. Integrating plant and animal biology for the search of novel DNA damage biomarkers. MUTATION RESEARCH-REVIEWS IN MUTATION RESEARCH 2018; 775:21-38. [DOI: 10.1016/j.mrrev.2018.01.001] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Revised: 01/08/2018] [Accepted: 01/16/2018] [Indexed: 12/11/2022]
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Wahba A, Ryan MC, Shankavaram UT, Camphausen K, Tofilon PJ. Radiation-induced alternative transcripts as detected in total and polysome-bound mRNA. Oncotarget 2017; 9:691-705. [PMID: 29416646 PMCID: PMC5787501 DOI: 10.18632/oncotarget.21672] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Accepted: 09/16/2017] [Indexed: 12/20/2022] Open
Abstract
Alternative splicing is a critical event in the posttranscriptional regulation of gene expression. To investigate whether this process influences radiation-induced gene expression we defined the effects of ionizing radiation on the generation of alternative transcripts in total cellular mRNA (the transcriptome) and polysome-bound mRNA (the translatome) of the human glioblastoma stem-like cell line NSC11. For these studies, RNA-Seq profiles from control and irradiated cells were compared using the program SpliceSeq to identify transcripts and splice variations induced by radiation. As compared to the transcriptome (total RNA) of untreated cells, the radiation-induced transcriptome contained 92 splice events suggesting that radiation induced alternative splicing. As compared to the translatome (polysome-bound RNA) of untreated cells, the radiation-induced translatome contained 280 splice events of which only 24 were overlapping with the radiation-induced transcriptome. These results suggest that radiation not only modifies alternative splicing of precursor mRNA, but also results in the selective association of existing mRNA isoforms with polysomes. Comparison of radiation-induced alternative transcripts to radiation-induced gene expression in total RNA revealed little overlap (about 3%). In contrast, in the radiation-induced translatome, about 38% of the induced alternative transcripts corresponded to genes whose expression level was affected in the translatome. This study suggests that whereas radiation induces alternate splicing, the alternative transcripts present at the time of irradiation may play a role in the radiation-induced translational control of gene expression and thus cellular radioresponse.
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Affiliation(s)
- Amy Wahba
- Radiation Oncology Branch, National Cancer Institute, Bethesda, MD 20892, USA
| | | | - Uma T Shankavaram
- Radiation Oncology Branch, National Cancer Institute, Bethesda, MD 20892, USA
| | - Kevin Camphausen
- Radiation Oncology Branch, National Cancer Institute, Bethesda, MD 20892, USA
| | - Philip J Tofilon
- Radiation Oncology Branch, National Cancer Institute, Bethesda, MD 20892, USA
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Bigildeev AE, Zezina EA, Drize NJ. The effects of interleukin-1 beta and gamma-quantum braking radiation on mesenchymal progenitor cells. Mol Biol 2017. [DOI: 10.1134/s0026893317020054] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Lacombe J, Brooks C, Hu C, Menashi E, Korn R, Yang F, Zenhausern F. Analysis of Saliva Gene Expression during Head and Neck Cancer Radiotherapy: A Pilot Study. Radiat Res 2017; 188:75-81. [PMID: 28504589 DOI: 10.1667/rr14707.1] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Saliva, a biological fluid, is a promising candidate for novel approaches to prognosis, clinical diagnosis, monitoring and management of patients with both oral and systemic diseases. However, to date, saliva has not been widely investigated as a biomarker for radiation exposure. Since white blood cells are also present in saliva, it should theoretically be possible to investigate the transcriptional biomarkers of radiation exposure classically studied in whole blood. Therefore, we collected whole blood and saliva samples from eight head and neck cancer patients before the start of radiation treatment, at mid-treatment and after treatment. We then used a panel of five genes: BAX, BBC3, CDKN1A, DDB2 and MDM2, designated for assessing radiation dose in whole blood to evaluate gene expression changes that can occur during radiotherapy. The results revealed that the expression of the five genes did not change in whole blood. However, in saliva, CDKN1A and DDB2 were significantly overexpressed at the end, compared to the start, of radiotherapy, and MDM2 was significantly underexpressed between mid-treatment and at the end of treatment. Interestingly, CDKN1A and DDB2 expressions also showed an increasing monotonic relationship with total radiation dose received during radiotherapy. To our knowledge, these results show for the first time the ability to detect gene expression changes in saliva after head and neck cancer radiotherapy, and pave the way for further promising studies validating saliva as a minimally invasive means of biofluid collection to directly measure radiation dose escalation during treatment.
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Affiliation(s)
- Jerome Lacombe
- a Center for Applied NanoBioscience and Medicine, University of Arizona, Chandler, Arizona 85226
| | - Carla Brooks
- a Center for Applied NanoBioscience and Medicine, University of Arizona, Chandler, Arizona 85226
| | - Chengcheng Hu
- b Center for Applied NanoBioscience and Medicine, University of Arizona, Phoenix, Arizona 85004
| | | | - Ronald Korn
- c Honor Health Research Institute, Scottsdale, Arizona 85258
| | - Farley Yang
- c Honor Health Research Institute, Scottsdale, Arizona 85258.,d Arizona Center for Cancer Care, Honor Health, Scottsdale, Arizona 85251
| | - Frederic Zenhausern
- a Center for Applied NanoBioscience and Medicine, University of Arizona, Chandler, Arizona 85226.,c Honor Health Research Institute, Scottsdale, Arizona 85258.,e Translational Genomics Research Institute, Phoenix, Arizona 85004
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Hall J, Jeggo PA, West C, Gomolka M, Quintens R, Badie C, Laurent O, Aerts A, Anastasov N, Azimzadeh O, Azizova T, Baatout S, Baselet B, Benotmane MA, Blanchardon E, Guéguen Y, Haghdoost S, Harms-Ringhdahl M, Hess J, Kreuzer M, Laurier D, Macaeva E, Manning G, Pernot E, Ravanat JL, Sabatier L, Tack K, Tapio S, Zitzelsberger H, Cardis E. Ionizing radiation biomarkers in epidemiological studies - An update. MUTATION RESEARCH. REVIEWS IN MUTATION RESEARCH 2017; 771:59-84. [PMID: 28342453 DOI: 10.1016/j.mrrev.2017.01.001] [Citation(s) in RCA: 98] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Accepted: 01/09/2017] [Indexed: 01/13/2023]
Abstract
Recent epidemiology studies highlighted the detrimental health effects of exposure to low dose and low dose rate ionizing radiation (IR): nuclear industry workers studies have shown increased leukaemia and solid tumour risks following cumulative doses of <100mSv and dose rates of <10mGy per year; paediatric patients studies have reported increased leukaemia and brain tumours risks after doses of 30-60mGy from computed tomography scans. Questions arise, however, about the impact of even lower doses and dose rates where classical epidemiological studies have limited power but where subsets within the large cohorts are expected to have an increased risk. Further progress requires integration of biomarkers or bioassays of individual exposure, effects and susceptibility to IR. The European DoReMi (Low Dose Research towards Multidisciplinary Integration) consortium previously reviewed biomarkers for potential use in IR epidemiological studies. Given the increased mechanistic understanding of responses to low dose radiation the current review provides an update covering technical advances and recent studies. A key issue identified is deciding which biomarkers to progress. A roadmap is provided for biomarker development from discovery to implementation and used to summarise the current status of proposed biomarkers for epidemiological studies. Most potential biomarkers remain at the discovery stage and for some there is sufficient evidence that further development is not warranted. One biomarker identified in the final stages of development and as a priority for further research is radiation specific mRNA transcript profiles.
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Affiliation(s)
- Janet Hall
- Centre de Recherche en Cancérologie de Lyon, INSERM 1052, CNRS 5286, Univ Lyon, Université Claude Bernard, Lyon 1, Lyon, F-69424, France.
| | - Penny A Jeggo
- Genome Damage and Stability Centre, School of Life Sciences, University of Sussex, Falmer, Brighton, BN1 9RQ, United Kingdom
| | - Catharine West
- Translational Radiobiology Group, Institute of Cancer Sciences, The University of Manchester, Manchester Academic Health Science Centre, Christie Hospital, Manchester, M20 4BX, United Kingdom
| | - Maria Gomolka
- Federal Office for Radiation Protection, Department of Radiation Protection and Health, D-85764 Neuherberg, Germany
| | - Roel Quintens
- Radiobiology Unit, Belgian Nuclear Research Centre, SCK·CEN, B-2400 Mol, Belgium
| | - Christophe Badie
- Cancer Mechanisms and Biomarkers group, Radiation Effects Department, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, Didcot, United Kingdom
| | - Olivier Laurent
- Institut de Radioprotection et de Sûreté Nucléaire, F-92260 Fontenay-aux-Roses, France
| | - An Aerts
- Radiobiology Unit, Belgian Nuclear Research Centre, SCK·CEN, B-2400 Mol, Belgium
| | - Nataša Anastasov
- Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Institute of Radiation Biology, D-85764 Neuherberg, Germany
| | - Omid Azimzadeh
- Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Institute of Radiation Biology, D-85764 Neuherberg, Germany
| | - Tamara Azizova
- Southern Urals Biophysics Institute, Clinical Department, Ozyorsk, Russia
| | - Sarah Baatout
- Radiobiology Unit, Belgian Nuclear Research Centre, SCK·CEN, B-2400 Mol, Belgium; Cell Systems and Imaging Research Group, Department of Molecular Biotechnology, Ghent University, B-9000 Ghent, Belgium
| | - Bjorn Baselet
- Radiobiology Unit, Belgian Nuclear Research Centre, SCK·CEN, B-2400 Mol, Belgium; Pole of Pharmacology, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, B-1200 Brussels, Belgium
| | - Mohammed A Benotmane
- Radiobiology Unit, Belgian Nuclear Research Centre, SCK·CEN, B-2400 Mol, Belgium
| | - Eric Blanchardon
- Institut de Radioprotection et de Sûreté Nucléaire, F-92260 Fontenay-aux-Roses, France
| | - Yann Guéguen
- Institut de Radioprotection et de Sûreté Nucléaire, F-92260 Fontenay-aux-Roses, France
| | - Siamak Haghdoost
- Centre for Radiation Protection Research, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, SE 106 91 Stockholm, Sweden
| | - Mats Harms-Ringhdahl
- Centre for Radiation Protection Research, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, SE 106 91 Stockholm, Sweden
| | - Julia Hess
- Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Institute of Radiation Biology, D-85764 Neuherberg, Germany
| | - Michaela Kreuzer
- Federal Office for Radiation Protection, Department of Radiation Protection and Health, D-85764 Neuherberg, Germany
| | - Dominique Laurier
- Institut de Radioprotection et de Sûreté Nucléaire, F-92260 Fontenay-aux-Roses, France
| | - Ellina Macaeva
- Radiobiology Unit, Belgian Nuclear Research Centre, SCK·CEN, B-2400 Mol, Belgium; Cell Systems and Imaging Research Group, Department of Molecular Biotechnology, Ghent University, B-9000 Ghent, Belgium
| | - Grainne Manning
- Cancer Mechanisms and Biomarkers group, Radiation Effects Department, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, Didcot, United Kingdom
| | - Eileen Pernot
- INSERM U897, Université de Bordeaux, F-33076 Bordeaux cedex, France
| | - Jean-Luc Ravanat
- Laboratoire des Lésions des Acides Nucléiques, Univ. Grenoble Alpes, INAC-SCIB, F-38000 Grenoble, France; Commissariat à l'Énergie Atomique, INAC-SyMMES, F-38000 Grenoble, France
| | - Laure Sabatier
- Commissariat à l'Énergie Atomique, BP6, F-92265 Fontenay-aux-Roses, France
| | - Karine Tack
- Institut de Radioprotection et de Sûreté Nucléaire, F-92260 Fontenay-aux-Roses, France
| | - Soile Tapio
- Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Institute of Radiation Biology, D-85764 Neuherberg, Germany
| | - Horst Zitzelsberger
- Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Institute of Radiation Biology, D-85764 Neuherberg, Germany
| | - Elisabeth Cardis
- Barcelona Institute of Global Health (ISGlobal), Centre for Research in Environmental Epidemiology, Radiation Programme, Barcelona Biomedical Research Park, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF) (MTD formerly), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
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Manning G, Macaeva E, Majewski M, Kriehuber R, Brzóska K, Abend M, Doucha-Senf S, Oskamp D, Strunz S, Quintens R, Port M, Badie C. Comparable dose estimates of blinded whole blood samples are obtained independently of culture conditions and analytical approaches. Second RENEB gene expression study. Int J Radiat Biol 2016; 93:87-98. [DOI: 10.1080/09553002.2016.1227105] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- Grainne Manning
- Cancer Mechanisms and Biomarkers Group, Radiation Effects Department, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, UK
| | - Ellina Macaeva
- Radiobiology Unit, Institute Environment, Health and Safety, Belgian Nuclear Research Centre, Mol, Belgium
- Department of Molecular Biotechnology, Ghent University, Ghent, Belgium
| | | | - Ralf Kriehuber
- Radiation Biology Unit, Department of Safety and Radiation Protection, Forschungszentrum Jülich GmbH, Germany
| | - Kamil Brzóska
- Institute of Nuclear Chemistry and Technology, Centre for Radiobiology and Biological Dosimetry, Warsaw, Poland
| | - Michael Abend
- Bundeswehr Institute of Radiobiology, Munich, Germany
| | | | - Dominik Oskamp
- Radiation Biology Unit, Department of Safety and Radiation Protection, Forschungszentrum Jülich GmbH, Germany
| | - Sonja Strunz
- Institute of Genetics and Biometry, Leibniz Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Roel Quintens
- Radiobiology Unit, Institute Environment, Health and Safety, Belgian Nuclear Research Centre, Mol, Belgium
| | - Matthias Port
- Radiobiology Unit, Institute Environment, Health and Safety, Belgian Nuclear Research Centre, Mol, Belgium
| | - Christophe Badie
- Cancer Mechanisms and Biomarkers Group, Radiation Effects Department, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, UK
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