Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Genome-wide microarray analysis of normal human fibroblasts in response to γ-radiation and the radiation induced bystander effect

ABSTRACT: The bystander effect from ionizing radiation consists of cellular responses generated from non-irradiated cells to the irradiation of their neighbors. The bystander effect is predominant at low doses and can lead to DNA damage and genomic instability in the affected cells. This non-targeted effect of radiation has received attention due to its potential implications for cancer therapy and radiation protection. Although studied extensively, a complete understanding of its molecular mechanism is the subject of ongoing research. While many studies have targeted specific factors which are suggested to be involved in the bystander effect, few have looked at whole genome gene expression in bystander cells. Furthermore, even fewer studies have looked at the expression in normal human cell lines. In this study, we have monitored transcriptional responses to γ-radiation in irradiated and bystander normal fibroblasts simultaneously using a genome-wide microarray approach. Bystander fibroblasts incubated in medium from irradiated cells, showed transient enrichment (less than 1.5 fold) in ribosome and oxidative phosphorylation pathways, and neurodegenerative disease pathways associated with mitochondrial dysfunctions. Bystander fibroblasts did not, however, display increases in oxidative stress, a phenomenon often linked with the radiation induced bystander effect. Total RNA was isolated from normal human fibroblasts irradiated with 2.0 Gy and fibroblasts incubated with medium from sham irradiated and irradiated cells 2 h after irradiation. RNA was isolated 4, 8 and 26 h after irradiation and there are 4 replicates for each sample for a total of 36 samples.

ORGANISM(S): Homo sapiens

SUBMITTER: Erta kalanxhi

PROVIDER: E-GEOD-25772 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Ionizing radiation (IR) not only affects cells that are directly irradiated but also their non-irradiated neighbors, which show responses known as bystander effects. While bystander and direct responses have several common end points including apoptosis and micronucleation, chromatin remodeling and altered levels or activities of regulatory proteins, they can be quantitatively and qualitatively different. The majority of studies of radiation bystander effects have utilized 2-dimensional in vitro systems, but we have recently demonstrated such effects in EPI-200 (Mat-Tek, Ashland, MA), a 3-dimensional tissue model that precisely imitates the structure and function of human epidermis. Global gene expression is a powerful tool for uncovering both fundamental signaling processes and the mechanistic basis of cellular or physiological effects. By exposing only a thin strip across the center of the EPI-200 tissue, we have been able to measure global gene expression responses in directly irradiated and bystander cells located at 0, 0.25, 0.5, 0.75 and 1mm from the irradiation line. The data were analyzed using BRB-Array Tools (NIH), and further network analysis was performed with IPA (Ingenuity). Significantly responding genes were identified at all distances and included sets common to both direct and bystander responses. For instance, all sets demonstrated upregulation of a major component of the drug metabolism pathway, CYP1B1, and downregulation of MMP1, an enzyme involved in degradation of extracellular matrix. In contrast, PTGS2, a gene strongly implicated in the bystander response was upregulated in directly irradiated tissues, but actually downregulated in bystander cells. This effect may be time dependent, but may also suggest activation of bystander signaling mechanisms different from those observed in 2-dimensional cell cultures. According to network analysis of our results, the genes responding in bystander tissue fell into 5 major categories: cell death, cell communication, cell differentiation, stress response, and response to wounding, suggesting active intracellular communication in bystander tissue. Radiation induced gene expression in 3-dimensional tissue model, Epi-200, was measured at 4 hours after exposure to 0.5 Gy of alpha-particles. Three independent experiments were performed for the samples collected at different distances from the irradiation line (250-500, 500-750 and 750-1000 micrometers) using three tissue fragments per a data point.

Project description:Background: The radiation bystander response is an important component of the overall response of cells to radiation and critical to understanding health risks of radiation exposure to humans. The mechanism of radiation response includes inter-cellular signaling and intra-cellular communication by which the bystander signal is propagated. Methods: We measured the bystander response to 1Gy a-particle radiation in Mrad9-/- mouse stem cells and H1299shRAD9 cells, using chromosomal aberration and micronucleus formation as DNA damage endpoints. In the H1299 model we used whole genome microarray analyses to profile the transcriptome of irradiated and bystander cells. Results: We investigated the role of RAD9 in the bystander response and showed that depletion or mutation of RAD9 had an effect of increasing chromosomal structural damage as well as micronucleus formation in bystander cells. The enhancement of the damage effect correlated strongly with a transcriptomic response in critical pathways. RAD9 depletion affected many pathways in the cell, including the UV-MAPK pathway, involving p38MAPK members, STAT1 and PARP1 at the mRNA levels. There was an overall reduction of RNA biogenesis of gene members of this pathway suggesting that perhaps these signaling pathways do not function optimally after RAD9 depletion. Using network analysis we found there may be differential activation of transcriptional regulators between the irradiated and bystander cells involving the SP1 and NUPR1 transcription factors. Network analysis also suggested that HIF1a (Hypoxia induced factor 1a) activation could be a negative predictor of the bystander effect and perhaps that local hypoxic stress observed by cells that are directly exposed to radiation may predict whether or not they will elicit a bystander response. Gene expression in H1299 cells was measured at 4 hours after exposure to 1 Gy a-particles. There were two groups based on RAD9 status, RAD9 normal and RAD9 depleted by siRNA. In each of these groups, sham irradiated, direct irradiated cells for positive bystanders, positive bystanders, direct irradiated cells for negative bystanders and negative bystanders; were identified based on micronucleus responses. Five biological replicates were analyzed for each experimental group.

Dataset Information

Genome-wide microarray analysis of normal human fibroblasts in response to γ-radiation and the radiation induced bystander effect

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure