Chronic low dose-rate versus acute ionizing radiation induced gene expression in primary derived prostate fibroblasts
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE52918 | GEO | 2013/12/20
SECONDARY ACCESSION(S): PRJNA230464
REPOSITORIES: GEO
Similar Datasets
Project description:Using a novel flood source construct, we performed a direct comparison of genome-wide gene expression regulations resulting from exposure of primary human prostate fibroblast cultures to acute (10cGy and 200cGy) and longer-term chronic (1.0-2.45cGy cumulative over 24hr) exposures. Samples were collected at 24 hours after an acute 10cGy or 200cGy exposure (48cGy per minute) versus immediately after an accumulated 24 hour chronic 1.0 to 2.45cGy low dose-rate exposure (7 to 17M-BM-5Gy per minute). Control 0cGy samples were collected at the same time. A total of 4 independent experimental replicates were used for each sample resulting in (2 individuals M-CM-^W 4 experimental conditions M-CM-^W 4 experimental replicates) 32 microarrays.
2013-12-20 | E-GEOD-52918 | biostudies-arrayexpress
Project description:Expression profiles in mouse liver exposed to long-term gamma-irradiation were examined to assess in vivo effects of low dose-rate radiation. Three groups of male C57BL/6J mice were exposed to whole body irradiation at dose-rates of 17-20 mGy/day, 0.86-1.0 mGy/day or 0.042-0.050 mGy/day for 401-485 days (cumulative doses were approximately 8 Gy, 0.4 Gy or 0.02 Gy, respectively). Expression profiles were produced for RNA isolated from irradiated individual animals and for pooled RNA from sham-irradiated 3 animals for control. The expression levels of 6 irradiated animals for each dose were compared individually with those of 2 pooled controls (3 irradiated samples to one pooled control in first and second experiments).
2011-01-01 | GSE20562 | GEO
Project description:Expression profiles in mouse liver exposed to long-term gamma-irradiation were examined to assess in vivo effects of low dose-rate radiation. Three groups of male C57BL/6J mice were exposed to whole body irradiation at dose-rates of 17-20 mGy/day, 0.86-1.0 mGy/day or 0.042-0.050 mGy/day for 401-485 days (cumulative doses were approximately 8 Gy, 0.4 Gy or 0.02 Gy, respectively). Expression profiles were produced for RNA isolated from irradiated individual animals and for pooled RNA from sham-irradiated 3 animals for control. The expression levels of 6 irradiated animals for each dose were compared individually with those of 2 pooled controls (3 irradiated samples to one pooled control in first and second experiments). The experiments were conducted twice at similar dose-rates. In the first experiment, three groups of 8 weeks old male C57BL/6J mice were exposed to whole body irradiation at dose-rates of either 16.6 mGy/day (H1), 0.858 mGy/day (M1) or 0.042 mGy/day (L1) for 485 days (cumulative doses were 8030 mGy, 416 mGy or 20.6 mGy, respectively). In the second experiment, the doe-rates were slightly elevated as 20.0 mGy/day (H2), 1.000 mGy/day (M2) or 0.050 mGy/day (L2) for 401 days (doses were 8015 mGy, 401 mGy or 20 mGy, respectively). A group of control unirradiated mice were set for each experiment (C1, C2).
2011-01-01 | E-GEOD-20562 | biostudies-arrayexpress
Project description:Background: The effects of dose-rate and its implications on radiation biodosimetry methods are not well studied in the context of large-scale radiological scenarios. There are significant health risks to individuals exposed to an acute dose in such an event, but the most realistic scenario would be a combination of exposure to both high and low dose-rates, from both external and internal radioactivity. It is important therefore, to understand the biological response to prolonged exposure; and further, discover biomarkers that can be used to estimate the extent of damage from low-dose rate exposure and propose appropriate clinical treatment. Methods: We irradiated human whole blood ex vivo to three doses, 0.56 Gy, 2.25 Gy and 4.45 Gy, using two dose rates: 1.1Gy/min and 3.1mGy/min. After 24 hours, we isolated RNA from blood cells and hybridized these to Agilent Whole Human genome microarrays. We validated the microarray results using qRT-PCR. Results: Microarray results showed that there were 454 significantly differentially expressed genes after prolonged exposure to all doses. After acute exposure, 598 genes were differentially expressed to all doses combined. Gene ontology terms enriched in both sets of genes were related to immune processes and B cell mediated immunity. Genes responding to acute exposure was also enriched in functions related to natural killer cell activation and cell-to-cell signaling. As expected, p53 pathway was found to be significantly enriched at all doses and by both dose-rates of radiation. Prediction algorithms were able to distinguish between low dose-rate and acute exposures, on the basis of a group of genes. These maybe candidates for preliminary testing as markers for differences in gene expression based on dose-rate. Radiation induced gene expression was measured in ex vivo irradiated human blood, at the 24hr time point after irradiation. Doses (0.56 Gy, 2.2 Gy and 4.45 Gy) were delivered by two dose rates, acute dose rate of 1Gy/min and low dose rate of 3.1 mGy/min.
2015-04-28 | E-GEOD-65292 | biostudies-arrayexpress
Project description:Humans are exposed to ionizing radiation (IR) from background radiation, medical treatments, occupational and accidental exposures. IR causes profound changes in transcription. Transcription is a primary process where protein amount and function can be regulated. One aspect of the transcriptional IR response that little is known about on a whole genome basis is alternative transcription. These investigations focus on the response to IR at the exon level in human cells but also at the whole gene level. Whole genome exon arrays were utilized to comprehensively characterize radiation-induced transcriptional expression products in two human cell types, namely EBV-transformed lymphoblast and primary fibroblast cell lines. 12 human primary fibroblast cell lines and 12 primary lymphoblast cell line samples were used for two doses (0 and 10 Gy) and two time points (0 and 4hr). Additional doses ( 1 Gy, 2 Gy, 5 Gy, and 20 Gy) and time points ( 1hr, 2hr, 8hr, 24hr and 48hr) were assessed in four lymphoblast cell lines and four primary fibroblasts.
2011-05-02 | E-GEOD-26841 | biostudies-arrayexpress
Project description: Not available
| S-EPMC8169688 | biostudies-literature
Project description:An important component of ionizing radiation (IR) exposure after a radiological incident may include low-dose rate (LDR) exposures either externally or internally, such as from 137Cs deposition. LDR exposures can have different effects compared to acute high-dose rate exposures from a health and biodosimetry perspective. In this study, a novel irradiation system, VAriable Dose-rate External 137Cs irradiatoR (VADER), was used to expose male and female mice to a variable LDR over a 30-day time span to cumulative doses of 1 (only in males), 2, 2.8, 4.1, 8.8 (only in males), or 9.7 Gy to simulate fall-out type exposures. Urine and serum from mice exposed to an acute dose (~0.8 Gy/min) of x-rays were collected in parallel. Radiation markers were identified by global mass spectrometry based metabolomics and the machine learning algorithm Random Forests.
2021-05-11 | ST001790 | MetabolomicsWorkbench
Project description:An important component of ionizing radiation (IR) exposure after a radiological incident may include low-dose rate (LDR) exposures either externally or internally, such as from 137Cs deposition. LDR exposures can have different effects compared to acute high-dose rate exposures from a health and biodosimetry perspective. In this study, a novel irradiation system, VAriable Dose-rate External 137Cs irradiatoR (VADER), was used to expose male and female mice to a variable LDR over a 30-day time span to cumulative doses of 1 (only in males), 2, 2.8, 4.1, 8.8 (only in males), or 9.7 Gy to simulate fall-out type exposures. Urine and serum from mice exposed to an acute dose (~0.8 Gy/min) of x-rays were collected in parallel. Radiation markers were identified by global mass spectrometry based metabolomics and the machine learning algorithm Random Forests.
2021-05-12 | ST001792 | MetabolomicsWorkbench
Project description:An important component of ionizing radiation (IR) exposure after a radiological incident may include low-dose rate (LDR) exposures either externally or internally, such as from 137Cs deposition. LDR exposures can have different effects compared to acute high-dose rate exposures from a health and biodosimetry perspective. In this study, a novel irradiation system, VAriable Dose-rate External 137Cs irradiatoR (VADER), was used to expose male and female mice to a variable LDR over a 30-day time span to cumulative doses of 1 (only in males), 2, 2.8, 4.1, 8.8 (only in males), or 9.7 Gy to simulate fall-out type exposures. Urine and serum from mice exposed to an acute dose (~0.8 Gy/min) of x-rays were collected in parallel. Radiation markers were identified by global mass spectrometry based metabolomics and the machine learning algorithm Random Forests.
2021-05-11 | ST001791 | MetabolomicsWorkbench
Project description:An important component of ionizing radiation (IR) exposure after a radiological incident may include low-dose rate (LDR) exposures either externally or internally, such as from 137Cs deposition. LDR exposures can have different effects compared to acute high-dose rate exposures from a health and biodosimetry perspective. In this study, a novel irradiation system, VAriable Dose-rate External 137Cs irradiatoR (VADER), was used to expose male and female mice to a variable LDR over a 30-day time span to cumulative doses of 1 (only in males), 2, 2.8, 4.1, 8.8 (only in males), or 9.7 Gy to simulate fall-out type exposures. Urine and serum from mice exposed to an acute dose (~0.8 Gy/min) of x-rays were collected in parallel. Radiation markers were identified by global mass spectrometry based metabolomics and the machine learning algorithm Random Forests.
2021-05-12 | ST001793 | MetabolomicsWorkbench