Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Immediate Transcriptional Changes in Response to High Dose Radiation Exposure

ABSTRACT: One of the most likely risks astronauts on long duration space missions face is exposure to ionizing radiation associated with highly energetic and charged heavy (HZE) particles. Since access to medical expertise on such a mission is limited at best, early diagnosis and mitigation of such exposure is critical. In order to accurately determine the dosage within 1 hour post-exposure, dose-dependent âbiomarkersâ are needed. Therefore, we performed a dose-course transcriptional analysis for radiation exposure at 0, 0.3, 1.5, and 3.0 Gy with corresponding time point at 1 hour (hr) post-exposure using AffymetrixÂ® GeneChipÂ® Human Gene 1.0 ST v1 Array chips. The analysis of our data suggests a set of sensitive genetic biomarkers specific to each radiation level as well as generic radiation response biomarkers. Upregulated biomarkers can then be used within lab-on-a-chip (LOC) systems to detect exposure to ionizing radiation. A total of sixteen human samples representing radiation exposure at levels 0 Gy, 0.3 Gy, 1.5 Gy and 3.0 Gy at time point 1 hour (hr) post-exposure were constructed. Blood samples were extracted from four human volunteers, and were irradiated. Leukocytes were extracted, and gene expression was measured. Samples for all four volunteers were measured at 1 hr for all four dose levels, resulting in four replicates at each dose level. Thus, a total of 4 samples at each of the four radiation levels were sampled, yielding the total of 16 samples.

ORGANISM(S): Homo sapiens

SUBMITTER: Eric Rouchka

PROVIDER: E-GEOD-64375 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Gene expression profiling of peripheral blood mononuclear cells (PBMCs) 8 hours after exposure to 1 Gy of carbon or iron ions

Project description:Under certain circumstances, humans can be exposed to ionizing radiation from heavy ions. Examples are cancer patients undergoing particle therapy (e.g. carbon ions) or astronauts in deep Space missions (iron ions which contribute for a large fraction to the possible health effects of cosmic radiation because of their high ionisation power). Understanding the differences in the cellular response to low- and high-LET radiation is important in order to adequately model risk estimates based on extrapolations from low-LET exposures. To address this need, we compared the transcriptional profiles of freshly isolated peripheral blood mononuclear cells after exposure to 1 Gy of X-rays, iron ions or carbon ions. Data of X-ray exposure have been submitted in E-MTAB-3463: https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-3463/.

2018-02-21 | E-MTAB-5761 | biostudies-arrayexpress

Radiation response in human cardiac endothelial cells investigated by DIA-MS

Project description:The endothelium is the barrier separating blood and tissue. Radiation-induced enhanced inflammation leading to permeability of this barrier may increase the risk of cardiovascular disease. The aim of this study was to investigate the onset of endothelial inflammatory pathways after radiation exposure. Human coronary artery endothelial cells (HCECest2) were exposed to radiation doses of 0, 0.25, 0.5, 2.0 and 10 Gy (60Co-γ). The cells were harvested 4 h, 24 h, 48 h and 1 wk post-irradiation. The proteomics analysis was performed in a label-free data-independent acquisition mode. The data were validated using bioinformatics and immunoblotting. The low- and moderate-dose-treated samples showed only small proteome changes. In contrast, an activation of DNA-damage repair, inflammation, and oxidative stress pathways was seen after high-dose treatments (2 and 10 Gy). The level of the DNA damage response protein DDB2 was enhanced early at the 10 Gy dose. The expression of proteins belonging to the inflammatory response or cGAS-STING pathway (STING, STAT1, ICAM1, ISG15) increased in a dose-dependent manner showing the strongest effects at 10 Gy after one week. This study suggests a connection between radiation-induced DNA damage and induction of inflammation and supports inhibition of cGAS-STING pathway in the prevention of radiation-induced cardiovascular disease.

2020-11-02 | PXD020735 | Pride

Transcription profiling of human peripheral blood to development gene expression signatures for practical radiation biodosimetry

Project description:To further development of our gene expression approach to biodosimetry, we have employed whole genome microarray expression profiling as a discovery platform to identify genes with the potential to distinguish radiation dose across an exposure range relevant for medical decision-making in a radiological emergency. Human peripheral blood from healthy donors was irradiated ex vivo, and a 74-gene consensus signature was identified that distinguished between four radiation doses (0.5, 2, 5 and 8 Gy) and control samples. The same set of genes separated samples by exposure level at both six and 24 hours after treatment, with overlap evident only at the highest two doses (5 and 8 Gy). Expression of five genes (CDKN1A, FDXR, SESN1, BBC3 and PHPT1) from this signature was quantified in the same RNA samples by real-time PCR, confirming low variability between donors as well as the predicted radiation response pattern. Experiment Overall Design: Radiation induced gene expression in human blood was measured at 6 and 24 hours after exposure to doses of 0, 0.5, 2, 5 and 8 Gy g-rays. Five independent experiments were performed at each time (6 or 24 hours) using different donors for each experiment

2008-10-18 | E-GEOD-8917 | biostudies-arrayexpress

Transcription profiling of human lymphoblastoid cells following 3 Gy and 10 Gy of ionizing radiation exposure to identify transcriptional response of lymphoblastoid cells to ionizing radiation

Project description:Time series for gene expression changes following 3 Gy and 10 Gy of ionizing radiation exposure.

2007-09-21 | E-GEOD-701 | biostudies-arrayexpress

RADIATION-INDUCED MODIFICATIONS IN MICRO-RNA AND PROTEOMIC CARGO IN PLASMA-DERIVED EXTRACELLULAR VESICLES

Project description:In this study, to delineate the radiation-induced changes in miRNAs and protein cargo, we established the microRNA and proteome profiles of plasma EVs collected from mice that had been sham- (SI), whole body (WBI), or partial body irradiated (PBI) with 2 Gy X-rays 24 hours before. The radiation-induced changes in the miRNA and protein composition of EVs can influence the stress response of distant cells by propagating damaging or protective signals. Testing EVs in functional assays may be a read out of the multiple radiation-induced signaling networks, crucial for gaining an understanding of the EVs properties. Therefore, to functionally elucidate the pathophysiological changes in the contents of EVs induced by irradiation, we here investigated the EV-induced cellular responses in vivo, by injecting WBI, PBI and SI plasma-derived EVs in the cerebellum of neonatal mice, highly susceptible to radiation injury, and evaluating the level of apoptosis.

2022-03-10 | PXD026408 | Pride

AM_GeneExpressionAfterIonisingRadiation

Project description:Abstract Purpose: There is a recognised need to develop new methods of high throughput, rapid and minimally invasive individual dose assessment for radiation exposure. The aim of this work is to establish a panel of highly radiation responsive genes suitable for biological dosimetry and to explore inter-individual variation in response to ionising radiation exposure.Materials and method: Analysis of gene expression in response to radiation was carried out using three independent techniques (microarray, Multiplex Quantitative RT-PCR and nCounter Analysis System) in human lymphocytes in culture and circulating blood exposed ex vivo from the same donors. Results: Variations in transcriptional response to exposure to ionising radiation analysed by microarray allowed the identification of genes which can be validated and measured accurately as biomarkers of radiation exposure using other techniques. We have identified genes which are consistently up-regulated following exposure at different time points to either 2 or 4 Gy of X-rays, for all individuals in blood and cultured lymphocytes. Most down-regulated genes including cyclins, centromeric and mitotic checkpoints proteins, particularly those associated with chromosome instability and cancer can only be detected in dividing cells. Conclusions: The data provides evidence that there are a number of genes which seem suitable for biological dosimetry, like SESN1, GADD45A, CDKN1A, CCNG1, FDXR, BBC3 and MDM2. ÊThese biomarkers could potentially be used for triage after large-scale radiological incidents. Variations in transcriptional response accurately measured by MQRT-PCRæ may allow the identification of biomarkers of radiation sensitivity and individual susceptibility and therefore being useful in radiation oncology.

2011-10-20 | E-TABM-1083 | biostudies-arrayexpress

Proteomics on sera of mice following local high-dose heart irradiation

Project description:Background and Purpose: Cardiotoxicity is a well-known adverse effect of radiation therapy. Measurable abnormalities in the heart function indicate advanced and often irreversible heart damage. Therefore, early detection of cardiac toxicity is necessary to delay and alleviate the development of the disease. The present study investigated long-term serum proteome alterations following local heart irradiation using a mouse model with the aim to detect biomarkers of radiation-induced cardiac toxicity. Materials and Methods: Serum samples from C57BL/6J mice were collected 20 weeks after local heart irradiation with 8 Gy or 16 Gy X-ray; the controls were sham-irradiated. The samples were analyzed by quantitative proteomics based on data-independent acquisition mass spectrometry. The proteomics data were further investigated using bioinformatics and ELISA. Results: The analysis showed radiation-induced changes in the level of several serum proteins involved in the acute phase response, inflammation and cholesterol metabolism. We found significantly enhanced expression of pro-inflammatory cytokines (TNF-, TGF-, IL-1 and IL-6) in the serum of the irradiated mice. The level of free fatty acids, total cholesterol, low density lipoprotein (LDL) and oxidized LDL was increased whereas that of high density lipoprotein was decreased by irradiation. Conclusions: This study provides information on systemic effects of heart irradiation. It elucidates a radiation fingerprint in the serum that may be used to elucidate adverse cardiac effects after radiation therapy.

2021-09-10 | PXD024446 | Pride

Gene expression profiling in human fibroblast after low-LET irradiation

Project description:Exposure to radiation provokes cellular responses controlled in part by gene expression networks. MicroRNAs (miRNAs) are small non-coding RNAs which mostly regulate gene expression by degrading the messages or inhibiting translation. Here, we investigated changes in miRNA expression patterns after low (0.1 Gy) and high (2.0 Gy) doses of X-ray in human fibroblasts. At early (0.5 h) and late (6 and 24 h) time points, irradiation caused qualitative and quantitative differences in the down-regulation of miRNA levels, including miR-92b, 137, 660, and 656. A transient up-regulation of miRNAs was observed after 2 h post-irradiation following high doses of radiation, including miR-558 and 662. MicroRNA levels were inversely correlated with targets from mRNA and proteomic profiling after 2.0 Gy of radiation. MicroRNAs miR-579, 608, 548-3p, and 585 are noted for targeting genes involved in radioresponsive mechanisms, such as cell cycle checkpoint and apoptosis. We suggest here a model in which miRNAs may act as "hub" regulators of specific cellular responses, immediately down-regulated so as to stimulate DNA repair mechanisms, followed by up-regulation involved in suppressing apoptosis for cell survival. Taken together, miRNAs may mediate signaling pathways in sequential fashion in response to radiation, and may serve as biodosimetric markers of radiation exposure. The gene expression patterns in human fibroblasts after 2.0 Gy of low-LET radiation was determined at 2 and 24 hrs post-irradiation time in technical triplicates. Control non-irradiated samples were also prepared in triplicates.

2010-06-20 | E-GEOD-12647 | biostudies-arrayexpress

Identifying radiation exposure biomarkers from mouse blood transcriptome

Project description:Here, we present a whole-genome survey of the murine transcriptomic response to physiologically-relevant radiation doses, 2 and 8 Gy. There are 18 distinct biological samples here. Mice were exposed to ionizing radiation (Cesium-138 source) and whole blood was collected by cardiac puncture 6 hours post treatment. Doses were 0 (7 samples), 2 (5 samples), and 8 (6 samples) gy.

2012-05-31 | E-GEOD-33172 | biostudies-arrayexpress

Prediction of in vivo radiation dose in radiotherapy patients using ex vivo and in vivo gene expression signatures

Project description:After defining a gene expression signature that predicted radiation exposure dose with high accuracy in human peripheral white blood cells irradiated ex vivo, we now demonstrate the predictive power of gene expression signatures in blood from patients undergoing total body irradiation. Using whole genome microarray analysis, we have identified genes that respond to radiation exposure in cancer patients in vivo. A 3-nearest neighbor classifier built from these genes correctly predicted samples as exposed to 0, 1.25 or 3.75 Gy with 94% accuracy even when samples from healthy donor controls were included. The same samples were classified with 98% accuracy using a signature previously defined from ex vivo irradiation data. The samples could also be classified as exposed or not exposed with 100% accuracy using multiple methods. The demonstration that ex vivo irradiation is an appropriate model that can provide meaningful prediction of in vivo exposure, and that the signatures are robust across diverse disease states, is an important advance in the application of gene expression for biodosimetry. Translation of these signatures to a fully automated “lab-on-a-chip” device will enable high-throughput screening for large-scale radiological emergencies, as well as making such tests practical for clinical uses. Radiation induced gene expression was measured in vivo in TBI patients at 4 hours after 1.25Gy exposure or at 24 hours after 3.75Gy exposure with three 1.25Gy split doses (approximately 4 hours apart). A total of 18 TBI patients, diagnosed with a variety of cancers were used in this study. Blood from 14 healthy control individuals was also used for comparison.

2011-01-31 | E-GEOD-20162 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data