Literature DB >> 21067298

Gene expression following ionising radiation: identification of biomarkers for dose estimation and prediction of individual response.

Sylwia Kabacik1, Alan Mackay, Narinder Tamber, Grainne Manning, Paul Finnon, Francois Paillier, Alan Ashworth, Simon Bouffler, Christophe Badie.   

Abstract

PURPOSE: To establish a panel of highly radiation responsive genes suitable for biological dosimetry and to explore inter-individual variation in response to ionising radiation exposure.
MATERIALS AND METHODS: Analysis of gene expression in response to radiation was carried out using three independent techniques (Microarray, Multiplex Quantitative Real-Time Polymerase Chain Reaction (MQRT- PCR) and nCounter® Analysis System) in human dividing lymphocytes in culture and peripheral blood leukocytes exposed ex vivo from the same donors.
RESULTS: Variations in transcriptional response to exposure to ionising radiation analysed by microarray allowed the identification of genes which can be measured accurately using MQRT PCR and another technique allowing direct count of mRNA copies. We have identified genes which are consistently up-regulated following exposure to 2 or 4 Gy of X-rays at different time points, for all individuals in blood and cultured lymphocytes. Down-regulated genes including cyclins, centromeric and mitotic checkpoint genes, particularly those associated with chromosome instability and cancer could be detected in dividing lymphocytes only.
CONCLUSIONS: The data provide evidence that there are a number of genes which seem suitable for biological dosimetry using peripheral blood, including sestrin 1 (SESN1), growth arrest and DNA damage inducible 45 alpha (GADD45A), cyclin-dependent kinase inhibitor 1A (CDKN1A), cyclin G1 (CCNG1), ferredoxin reductase (FDXR), p53 up-regulated mediator of apoptosis (BBC3) and Mdm2 p53 binding protein homolog (MDM2). These biomarkers could potentially be used for triage after large-scale radiological incidents and for monitoring radiation exposure during radiotherapy.

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Year:  2010        PMID: 21067298     DOI: 10.3109/09553002.2010.519424

Source DB:  PubMed          Journal:  Int J Radiat Biol        ISSN: 0955-3002            Impact factor:   2.694


  54 in total

1.  Laboratory intercomparison of gene expression assays.

Authors:  C Badie; S Kabacik; Y Balagurunathan; N Bernard; M Brengues; G Faggioni; R Greither; F Lista; A Peinnequin; T Poyot; F Herodin; A Missel; B Terbrueggen; F Zenhausern; K Rothkamm; V Meineke; H Braselmann; C Beinke; M Abend
Journal:  Radiat Res       Date:  2013-07-25       Impact factor: 2.841

2.  Impact of Neutron Exposure on Global Gene Expression in a Human Peripheral Blood Model.

Authors:  Constantinos G Broustas; Yanping Xu; Andrew D Harken; Mashkura Chowdhury; Guy Garty; Sally A Amundson
Journal:  Radiat Res       Date:  2017-01-31       Impact factor: 2.841

3.  Effect of irradiation on the expression of DNA repair genes studied in human fibroblasts by real-time qPCR using three methods of reference gene validation.

Authors:  Sebastian Reuther; Martina Reiter; Annette Raabe; Ekkehard Dikomey
Journal:  Radiat Environ Biophys       Date:  2013-07-25       Impact factor: 1.925

4.  DNA double-strand breaks: linking gene expression to chromosome morphology and mobility.

Authors:  Yang Zhang; Dieter W Heermann
Journal:  Chromosoma       Date:  2013-08-28       Impact factor: 4.316

5.  Biodosimetric transcriptional and proteomic changes are conserved in irradiated human tissue.

Authors:  Simon P Keam; Twishi Gulati; Cristina Gamell; Franco Caramia; Gisela Mir Arnau; Cheng Huang; Ralf B Schittenhelm; Oded Kleifeld; Paul J Neeson; Scott G Williams; Ygal Haupt
Journal:  Radiat Environ Biophys       Date:  2018-05-30       Impact factor: 1.925

6.  Microfluidic module for blood cell separation for gene expression radiobiological assays.

Authors:  Muriel Brengues; Jian Gu; Frederic Zenhausern
Journal:  Radiat Prot Dosimetry       Date:  2015-04-15       Impact factor: 0.972

7.  Dicentric Dose Estimates for Patients Undergoing Radiotherapy in the RTGene Study to Assess Blood Dosimetric Models and the New Bayesian Method for Gradient Exposure.

Authors:  Jayne Moquet; Manuel Higueras; Ellen Donovan; Sue Boyle; Stephen Barnard; Clare Bricknell; Mingzhu Sun; Lone Gothard; Grainne O'Brien; Lourdes Cruz-Garcia; Christophe Badie; Elizabeth Ainsbury; Navita Somaiah
Journal:  Radiat Res       Date:  2018-09-20       Impact factor: 2.841

Review 8.  Deoxyribonucleic acid damage-associated biomarkers of ionising radiation: current status and future relevance for radiology and radiotherapy.

Authors:  G Manning; K Rothkamm
Journal:  Br J Radiol       Date:  2013-05-09       Impact factor: 3.039

9.  Gene expression of immediate early genes of AP-1 transcription factor in human peripheral blood mononuclear cells in response to ionizing radiation.

Authors:  S Nishad; Anu Ghosh
Journal:  Radiat Environ Biophys       Date:  2016-09-01       Impact factor: 1.925

10.  Radiation-induced gene signature predicts pathologic complete response to neoadjuvant chemotherapy in breast cancer patients.

Authors:  Daniel S Oh; Maggie C U Cheang; Cheng Fan; Charles M Perou
Journal:  Radiat Res       Date:  2014-02-14       Impact factor: 2.841

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