Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response

TL;DR

This study provides a comprehensive pathway-based analysis of gene expression responses to low-dose radiation, revealing molecular signatures that differ from high-dose exposure, with implications for health risk assessment.

Contribution

It introduces a statistical framework to identify pathway-level gene expression signatures associated with low-dose radiation exposure.

Findings

Identified complex molecular signatures specific to low-dose radiation

Revealed differences in gene regulation between low and high radiation doses

Suggested potential biomarkers for radiation exposure levels

Abstract

There are various sources of ionizing radiation exposure, where medical exposure for radiation therapy or diagnosis is the most common human-made source. Understanding how gene expression is modulated after ionizing radiation exposure and investigating the presence of any dose-dependent gene expression patterns have broad implications for health risks from radiotherapy, medical radiation diagnostic procedures, as well as other environmental exposure. In this paper, we perform a comprehensive pathway-based analysis of gene expression profiles in response to low-dose radiation exposure, in order to examine the potential mechanism of gene regulation underlying such responses. To accomplish this goal, we employ a statistical framework to determine whether a specific group of genes belonging to a known pathway display coordinated expression patterns that are modulated in a manner consistent with the radiation level. Findings in our study suggest that there exist complex yet consistent signatures that reflect the molecular response to radiation exposure, which differ between low-dose and high-dose radiation.