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ABSTRACT: Purpose
Development of an integrated time and dose model to explore the dynamics of gene expression alterations and identify biomarkers for biodosimetry following low- and high-dose irradiations at high dose rate.Material and methods
We utilized multiple transcriptome datasets (GSE8917, GSE43151, and GSE23515) from Gene Expression Omnibus (GEO) for identifying candidate biological dosimeters. A linear mixed-effects model with random intercept was used to explore the dose-time dynamics of transcriptional responses and to functionally characterize the time- and dose-dependent changes in gene expression.Results
We identified genes that are correlated with dose and time and discovered two clusters of genes that are either positively or negatively correlated with both do
SUBMITTER: Liu Z
PROVIDER: S-EPMC10845127 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature