Journal Article FZJ-2018-02754

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Comparative gene expression analysis after exposure to $^{123}$I-iododeoxyuridine, γ- and α-radiation—potential biomarkers for the discrimination of radiation qualities

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2018
J-STAGE Kawaguchi

Journal of radiation research 59(4), 411–429 () [10.1093/jrr/rry038]

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Abstract: Gene expression analysis was carried out in Jurkat cells in order to identify candidate genes showing significant gene expression alterations allowing robust discrimination of the Auger emitter $^{123}$I, incorporated into the DNA as $^{123}$I-iododeoxyuridine ($^{123}$IUdR), from α- and γ-radiation. The γ-H2AX foci assay was used to determine equi-effect doses or activity, and gene expression analysis was carried out at similar levels of foci induction. Comparative gene expression analysis was performed employing whole human genome DNA microarrays. Candidate genes had to show significant expression changes and no altered gene regulation or opposite regulation after exposure to the radiation quality to be compared. The gene expression of all candidate genes was validated by quantitative real-time PCR. The functional categorization of significantly deregulated genes revealed that chromatin organization and apoptosis were generally affected. After exposure to $^{123}$IUdR, α-particles and γ-rays, at equi-effect doses/activity, 155, 316 and 982 genes were exclusively regulated, respectively. Applying the stringent requirements for candidate genes, four (PPP1R14C, TNFAIP8L1, DNAJC1 and PRTFDC1), one (KLF10) and one (TNFAIP8L1) gene(s) were identified, respectively allowing reliable discrimination between γ- and $^{123}$IUdR exposure, γ- and α-radiation, and α- and 123IUdR exposure, respectively. The Auger emitter $^{123}$I induced specific gene expression patterns in Jurkat cells when compared with γ- and α-irradiation, suggesting a unique cellular response after $^{123}$IUdR exposure. Gene expression analysis might be an effective tool for identifying biomarkers for discriminating different radiation qualities and, furthermore, might help to explain the varying biological effectiveness at the mechanistic level.

Keyword(s): Biology (2nd)

Classification:

Contributing Institute(s):
  1. Sicherheit und Strahlenschutz, Umgebungsüberwachung,Strahlenbiologie (S-US)
  2. Zentralinstitut für Technologie (ZEA-1)
Research Program(s):
  1. 899 - ohne Topic (POF3-899) (POF3-899)

Appears in the scientific report 2018
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Medline ; Creative Commons Attribution-NonCommercial CC BY-NC 4.0 ; DOAJ ; OpenAccess ; BIOSIS Previews ; Current Contents - Life Sciences ; DOAJ Seal ; IF < 5 ; JCR ; NCBI Molecular Biology Database ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection
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 Record created 2018-05-03, last modified 2025-07-01