Περίληψη:
Ionizing radiation-induced bystander effects (RIBE) encompass a number of effects with potential for a plethora of damages in adjacent non-irradiated tissue. The cascade of molecular events is initiated in response to the exposure to ionizing radiation (IR), something that may occur during diagnostic or therapeutic medical applications. In order to better investigate these complex response mechanisms, we employed a unified framework integrating statistical microarray analysis, signal normalization, and translational bioinformatics functional analysis techniques. This approach was applied to several microarray datasets from Gene Expression Omnibus (GEO) related to RIBE. The analysis produced lists of differentially expressed genes, contrasting bystander and irradiated samples versus sham-irradiated controls. Furthermore, comparative molecular analysis through BioInfoMiner, which integrates advanced statistical enrichment and prioritization methodologies, revealed discrete biological processes, at the cellular level. For example, the negative regulation of growth, cellular response to Zn2+-Cd2+, andWnt and NIK/NF-kappaB signaling, thus refining the description of the phenotypic landscape of RIBE. Our results provide a more solid understanding of RIBE cell-specific response patterns, especially in the case of high-LET radiations, like α-particles and carbon-ions. © 2017 by the authors. Licensee MDPI, Basel, Switzerland.
Συγγραφείς:
Yeles, C.
Vlachavas, E.-I.
Papadodima, O.
Pilalis, E.
Vorgias, C.E.
Georgakilas, A.G.
Chatziioannou, A.
Λέξεις-κλειδιά:
cadmium; immunoglobulin enhancer binding protein; zinc, alpha radiation; Article; bioinformatics; bystander effect; cell cycle; cell migration; cell motility; chemotaxis; controlled study; CXCL2 gene; CXCL8 gene; DNA damage; gene; gene expression; human; human cell; IL1A gene; IL1B gene; immune response; ionizing radiation; mitogenesis; NFKBIZ gene; protein misfolding; protein secretion; radiation dose; RNA extraction; SAT1 gene; TNFAIP3 gene; tumor growth
