Analysis of differentially expressed genes after ex vivo X-rays irradiation of human peripheral white blood cells

LARA NEGRIN; NICOLAS BELLORA; VANESA BIOLATTI; IRENE LAURA IBAÑEZ

Mar del Plata

Congreso; LXIII Reunion Anual de la Sociedad Argentina de Investigación Clínica (SAIC); 2018

SAIC, SAI, SAFIS, Sociedad Argentina de Virología (SAV), NANOMED-ar, International Society of Neuroimmunomodulation, Society of Mucosal Immunology

The understanding and characterization of the radio-induced response at molecular level is pivotal for developing new approaches on practices that employ Ionizing Radiation (IR). Currently, gene expression signatures are being developed for radiation biodosimetry and as predictive biomarkers for personalizing radiotherapy. In order to detect potential radiation-exposure biomarkers, we performed a bioinformatic meta-analysis of public microarrays of ex vivo X-rays-irradiated human peripheral white blood cells and a validation of the resulting differentially expressed genes (DEGs) by qPCR. Gene expression of five datasets from Gene Expression Omnibus were analyzed with R software and Bioconductor packages. DEGs functional enrichment was performed with Over Representation and Gene Set Enrichment Analysis while iRegulon was used to detect master regulators transcription factors (TF) from DEGs. Human peripheral blood samples from six healthy human donors were X-rays-irradiated at 1-4Gy or left unirradiated. Dicentric Chromosome Assay was performed as biodosimetry control while mRNA from samples was obtained 24 h after exposure for qPCR validations with GAPDH as a reference gene (p-values