Literature DB >> 24625097

Intragenic controls utilizing radiation-induced alternative transcript regions improves gene expression biodosimetry.

Helen B Forrester1, Carl N Sprung.   

Abstract

Ionizing-radiation exposure can be life threatening if given to the whole body. In addition, whole body radiation exposure can affect large numbers of people such as after a nuclear reactor accident, a nuclear explosion or a radiological terrorist attack. In these cases, an accurate biodosimeter is essential for triage management. One of the problems for biodosimetry in general is the interindividual variation before and after exposure, which can make it challenging to assign an accurate dose. To begin to address this challenge, lymphocyte cell lines were exposed to 0, 1, 2 and 5 Gy ionizing radiation from a ¹³⁷Cs source at a dose rate of 0.6 Gy/min. Alternative transcripts with regions showing large differential responses to ionizing radiation were determined from exon array data. Gene expression analysis was then performed on isolated mRNA using qRT-PCR with normalization to intergenic (PGK1, GAPDH) and novel intragenic regions for candidate radiation-responsive genes, PPM1D and MDM2. Our studies show that the use of a cis-associated expression reference improved the potential dose prediction approximately 2.3-8.3 fold and provided an advantage for dose prediction compared to distantly or trans-located control ionizing radiation nonresponsive genes. This approach also provides an alternative gene expression normalization method to potentially reduce interindividual variations when untreated basal gene expression levels are unavailable. Using associated noninduced regions of ionizing radiation-induced genes provides a way to estimate basal gene expression in the irradiated sample. This strategy can be utilized as a biodosimeter on its own or to enhance other gene expression candidates for biodosimetry. This normalization strategy may also be generally applicable for other quantitative PCR strategies where normalization is required for a particular response.

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Year:  2014        PMID: 24625097     DOI: 10.1667/RR13501.1

Source DB:  PubMed          Journal:  Radiat Res        ISSN: 0033-7587            Impact factor:   2.841


  5 in total

1.  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

2.  Radiation-induced alternative transcription and splicing events and their applicability to practical biodosimetry.

Authors:  Ellina Macaeva; Yvan Saeys; Kevin Tabury; Ann Janssen; Arlette Michaux; Mohammed A Benotmane; Winnok H De Vos; Sarah Baatout; Roel Quintens
Journal:  Sci Rep       Date:  2016-01-14       Impact factor: 4.379

3.  The transcriptomic revolution and radiation biology.

Authors:  Sally A Amundson
Journal:  Int J Radiat Biol       Date:  2021-10-11       Impact factor: 3.352

4.  Toward the development of transcriptional biodosimetry for the identification of irradiated individuals and assessment of absorbed radiation dose.

Authors:  Kamil Brzóska; Marcin Kruszewski
Journal:  Radiat Environ Biophys       Date:  2015-05-14       Impact factor: 1.925

5.  Evaluation of endogenous control gene(s) for gene expression studies in human blood exposed to 60Co γ-rays ex vivo.

Authors:  S Thangminlal Vaiphei; Joshua Keppen; Saibadaiahun Nongrum; R C Chaubey; L Kma; R N Sharan
Journal:  J Radiat Res       Date:  2014-09-30       Impact factor: 2.724

  5 in total

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