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166 results for “radiation exposure”
Transcriptional alteration after ionizing radiation exposure in human fibroblasts, iPSCs and NPCs
GEO Series GSE113125. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Gene expression signatures that predict radiation exposure
GEO Series GSE6874. Homo sapiens; Mus musculus. 106 samples. Type: Expression profiling by array.
Gene expression signatures that predict radiation exposure (human)
GEO Series GSE6871. Homo sapiens. 78 samples. Type: Expression profiling by array.
Delayed Cardiomyocyte Response to Total Body Particle Radiation Exposure – Identification of Regulatory Gene Network [iron]
GEO Series GSE68874. Mus musculus. 15 samples. Type: Expression profiling by array.
Identifying radiation exposure biomarkers from mouse blood transcriptome
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.
Effects of low dose space radiation exposures on the splenic metabolome
Future space missions will include return to the Moon and long duration deep space roundtrip missions to Mars. Leaving the protection that Low Earth Orbit provides will unavoidably expose astronauts to higher cumulative doses of space radiation, in addition to other stressors, e.g. microgravity. Immune regulation is known to be impacted and it remains to be seen whether prolonged effects will be encountered in deep space that can have an adverse impact on health. In this study we investigated the effects in overall metabolism of three different low dose radiation exposures (γ-rays, 16O, and 56Fe) in spleen from male C57BL/6 mice at 1, 2, and 4 months after exposure. Forty metabolites were identified with significant enrichment in purine metabolism, tricarboxylic acid cycle, fatty acids, acylcarnitines, and amino acids. Early perturbations were more prominent in the γ irradiated samples, while longer term responses shifted towards the high energy particle effects. Regression analysis showed a positive correlation of fatty acids with time and negative association with γ-rays, while degradation of purines were positively associated with time. Taken together, there is a strong suggestion of mitochondrial implication and the possibility of long term effects in DNA repair and nucleotide pools following radiation exposure.
Delayed Cardiomyocyte Response to Total Body Particle Radiation Exposure - Identification of Regulatory Gene Network [iron]
We examined molecular responses using transcriptome profiling in isolated left ventricular murine cardiomyocytes to 90 cGy, 1 GeV proton (1H) and 15 cGy, 1 GeV/nucleon (n) iron (56Fe) particles 1, 3, 7, 14 and 28 days after exposure. Unsupervised clustering analysis of gene expression segregated samples according to the radiation (IR) response, and time after exposure with 56Fe-IR showing the greatest level of gene modulation. 1H-IR exposures showed little differential transcript modulation. Network analysis categorized the major differentially expressed genes into cell cycle, oxidative responses and transcriptional regulation functional groups. Transcriptional networks identified key nodes regulating expression. Individual transcription factors were inferred to be active at 1, 3, 7, 14 and 28 days after exposure. Validation of the signal transduction network by protein analysis showed that particle IR clearly regulates a long lived signaling mechanism for p38 MAPK signaling and NFATc4 activation. Electrophoresis mobility shift assays supported the role of additional key transcription factors GATA-4, STAT-3 and NF-kB as regulators of the response at specific time points. These data suggest that the molecular response to 56Fe-IR is unique and shows long-lasting gene expression in cardiomyocytes, up to 28 days after exposure. Additionally, proteins involved in signal transduction and transcriptional activation via DNA binding play a role in the response to high charge (Z) and energy (E) particles (HZE). Our study may have implications for NASA's efforts to develop heart disease risk estimates for astronauts safety via identification of specific HZE-IR molecular markers and for patients receiving conventional and particle radiotherapy. Transcriptome profiling in isolated left ventricular murine cardiomyocytes to 90 cGy, 1 GeV proton (1H) and 15 cGy, 1 GeV/nucleon (n) iron (56Fe) particles 1, 3, 7, 14 and 28 days after exposure.
Delayed Cardiomyocyte Response to Total Body Particle Radiation Exposure - Identification of Regulatory Gene Network [proton]
We examined molecular responses using transcriptome profiling in isolated left ventricular murine cardiomyocytes to 90 cGy, 1 GeV proton (1H) and 15 cGy, 1 GeV/nucleon (n) proton (56Fe) particles 1, 3, 7, 14 and 28 days after exposure. Unsupervised clustering analysis of gene expression segregated samples according to the radiation (IR) response, and time after exposure with 56Fe-IR showing the greatest level of gene modulation. 1H-IR exposures showed little differential transcript modulation. Network analysis categorized the major differentially expressed genes into cell cycle, oxidative responses and transcriptional regulation functional groups. Transcriptional networks identified key nodes regulating expression. Individual transcription factors were inferred to be active at 1, 3, 7, 14 and 28 days after exposure. Validation of the signal transduction network by protein analysis showed that particle IR clearly regulates a long lived signaling mechanism for p38 MAPK signaling and NFATc4 activation. Electrophoresis mobility shift assays supported the role of additional key transcription factors GATA-4, STAT-3 and NF-kB as regulators of the response at specific time points. These data suggest that the molecular response to 56Fe-IR is unique and shows long-lasting gene expression in cardiomyocytes, up to 28 days after exposure. Additionally, proteins involved in signal transduction and transcriptional activation via DNA binding play a role in the response to high charge (Z) and energy (E) particles (HZE). Our study may have implications for NASA's efforts to develop heart disease risk estimates for astronauts safety via identification of specific HZE-IR molecular markers and for patients receiving conventional and particle radiotherapy. Transcriptome profiling in isolated left ventricular murine cardiomyocytes to 90 cGy, 1 GeV proton (1H) and 15 cGy, 1 GeV/nucleon (n) proton (56Fe) particles 1, 3, 7, 14 and 28 days after exposure.
Mouse fecal microbiome after exposure to high LET radiation
Space travel is associated with continuous low-dose-rate exposure to high Linear Energy Transfer (LET) radiation. Pathophysiological manifestations after low-dose radiation exposure are strongly influenced by non-cytocidal radiation effects including microbiome and cellular gene expression. Using a mouse model for exposure to high LET radiation we observed substantial changes in the composition and functional potential of the microbiome. These were paralleled by changes in the abundance of multiple metabolites which were related to the enzymatic activity of the altered metagenome by means of metabolic network modeling. There was a complex dynamic in microbial and metabolic composition at different radiation doses suggestive of transient dose-dependent interactions between microbial ecology and signals from the host s cellular damage repair processes. Functional shifts included features associated with dysbiosis at the onset of chronic inflammatory responses which could prMouse fecal microbiome after exposure to high LET radiatione-dispose space travelers to systemic long-term health risks.
Immediate Transcriptional Changes in Response to High Dose Radiation Exposure
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 biomarkers 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 Affymetrix GeneChip 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.
Gene expression in human peripheral blood 48 hours after exposure to ionizing radiation
Analysis of human peripheral blood 48 hours after irradiation ex vivo with graded doses of gamma rays. Results have been used in building and testing classifiers to predict exposure dose for use in radiological triage and also provide insight into immune cell responses. Results were compared with those from earlier times and from patients exposed in vivo. Peripheral blood from 5 healthy donors was exposed ex vivo to 0. 0.5 2 5 or 8 Gy gamma-rays and gene expression was analyzed up to 48 hours after exposure.
Exposure to ionizing radiation induced persistent gene expression changes in mouse mammary gland
Six to eight week old female C57BL/6J mice were exposed to 2 Gy of whole body xce xb3 radiation and mammary glands were surgically removed 2-month after radiation. RNA was isolated and microarray hybridization performed for gene expression analysis. 5 samples were analyzed: 2 controls at 2 months 1 2 Gy at 2 months and 2 7 Gy at 2 months
Bystander responses to 0.5Gy of alpha-particles in a human 3-dimensional skin model in 4h after exposure to ionizing radiation
GEO Series GSE23903. Homo sapiens. 6 samples. Type: Expression profiling by array.
Effects of Continuous in situ Low-Dose Ionizing Radiation Exposure on Pseudomonas putida KT2440
GEO Series GSE213139. Pseudomonas putida KT2440. 30 samples. Type: Expression profiling by high throughput sequencing.
Transcriptomic Profiling and Pathway Analysis of Mesenchymal Stem Cells following Low Dose-Rate Radiation Exposure
GEO Series GSE222541. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Biological response to low dose of alpha-particles in a human 3-dimensional skin model, in 1 and 16h after exposure to ionizing radiation.
GEO Series GSE23901. Homo sapiens. 12 samples. Type: Expression profiling by array.
Transcriptomic Profiling and Pathway Analysis of Cultured Human Lung Microvascular Endothelial Cells following Ionizing Radiation Exposure
GEO Series GSE179810. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.
The response of the melanized yeast Exophiala dermatitidis to gamma radiation exposure
GEO Series GSE142318. Exophiala dermatitidis. 8 samples. Type: Expression profiling by high throughput sequencing.
Transcriptomic Alterations in Diabetic Aortic Endothelial Cells Following Low-Dose Radiation Exposure
GEO Series GSE228572. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.
Sensitive detection of radiation-induced medulloblastomas after acute or protracted gamma ray exposures in Ptch1 heterozygous mice using a radiation-specific molecular signature
GEO Series GSE81319. Mus musculus. 29 samples. Type: Genome variation profiling by array.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.