Transcriptional benchmark dose modeling: Exploring how advances in chemical risk assessment may be applied to the radiation field

In this report, radiation data obtained from the Gene Expression Omnibus (GEO) were analyzed to generate BMD values for transcriptional responses. The datasets comprised microarray analyses of human blood gamma‐irradiated ex vivo (0–20 Gy) and human‐derived cell lines exposed to alpha particle radiation (0.5–1.5 Gy). The distributions of BMDs for statistically significant genes and pathways in response to radiation exposure were examined and compared across studies. BMD modeling could identify pathway/gene sensitivities across wide radiation dose ranges, experimental conditions (time‐points, cell types) and radiation qualities. BMD analysis offered a new approach to examine transcriptional data. The results were shown to provide information on transcriptional thresholds of effects to support refined risk assessments for low dose ionizing radiation exposures, derive gene‐based values for relative biological effectiveness and identify pathways involved in radiation sensitivities across cell types which may extend to applications a clinical setting. Environ. Mol. Mutagen., 2016. © 2016 Wiley Periodicals, Inc.
Source: Environmental and Molecular Mutagenesis - Category: Molecular Biology Authors: Tags: Research Article Source Type: research