Transcriptional profiling of human lymphoblastoid TK6 cells comparing mock irradiated cells with cells exposed 24 hours previously to 1.67 Gy HZE (1 GeV/amu iron ions accelerated at the NASA Space Research Laboratory (NSRL) of Brookhaven National Laboratory) or 2.5 Gy 137Cs gamma rays. TK6 cells were mock irradiated or exposed to HZE or gamma-rays and RNA was harvested 24 hours later. 3 biological replicates were independently grown and harvested during three different runs at the NSRL. One replicate per array.

Transcriptional profiling of human lymphoblastoid TK6 cells comparing mock irradiated cells with cells exposed 24 hours previously to 1.67 Gy HZE (1 GeV/amu iron ions accelerated at the NASA Space Research Laboratory (NSRL) of Brookhaven National Laboratory) or 2.5 Gy 137Cs gamma rays. TK6 cells were mock irradiated or exposed to HZE or gamma-rays and RNA was harvested 24 hours later. 3 biological replicates were independently grown and harvested during three different runs at the NSRL. One replicate per array.

Understanding the possible impact of potential confounding factors is necessary for any approach to radiation biodosimetry. Potential confounding factors have not been fully addressed for gene expression-based biodosimetry approaches such as we are developing. To begin addressing this need we have used an ex vivo irradiated peripheral blood cell model to investigate the potential effect of smoking on the global radiation gene expression response and looked for genes that respond to radiation differently in smokers and non-smokers and also in males and females. The results indicate that only a small number of genes may be significantly confounded by either factor supporting the idea of developing peripheral blood gene expression strategies for radiation biodosimetry. Blood from each of 24 different donors was exposed to four doses of ionizing radiation (0 0.1 0.5 or 2 Gy) and analyzed using single-color microarray hybridization. The donors represented equal numbers of male and female smokers (1 or more packs a day) and non-smokers. There are 95 data sets in the study as the sample from one of the female smokers exposed to 2 Gy was lost.

Human deep space and planetary travel is limited by uncertainties regarding the health risks associated with exposure to galactic cosmic radiation (GCR) and in particular the high linear energy transfer (LET) heavy ion component. Here we assessed the impact of two high-LET ions 56Fe and 28Si and low-LET X rays on genome-wide methylation patterns in human bronchial epithelial cells. We found that all three radiation types induced rapid and stable changes in DNA methylation but at distinct subsets of CpG sites affecting different chromatin compartments. The 56Fe ions induced mostly hypermethylation and primarily affected sites in open chromatin regions including enhancers promoters and edges ( shores ) of CpG islands. The 28Si ion-exposure had mixed effects inducing both hyper and hypomethylation and affecting sites in more repressed heterochromatic environments whereas X rays induced mostly hypomethylation primarily at sites in gene bodies and intergenic regions. Significantly the methylation status of 56Fe ion irradiation sensitive sites but not those affected by X ray or 28Si ions could discriminate tumor from normal tissue for human lung adenocarcinomas and squamous cell carcinomas. Thus high LET radiation exposure leaves a lasting imprint on the epigenome and affects sites relevant to human lung cancer. The 56Fe ion signature may prove useful in monitoring the cumulative biological impact and associated cancer risks encountered by astronauts in deep space. Genome wide DNA methylation profiling of normal human bronchial epithelial cells irradiated with varying doses of 28Si-ion radiation ( 300 MeV/u at 0 0.3 1.0 Gy) 56Fe-ion radiation (600 MeV/u at 0 0.1 0.3 1.0 Gy) or X rays (320 kV at 0 1.0 Gy). Triplicate control and irradiated samples were incubated and sampled at 4 timepoints between 2 and 62 days. The Illumina Infinium 450k Human DNA methylation Beadchip was used to obtain DNA methylation profiles across >485,000 CpGs from collected samples. Samples include: 56Fe ions 4 doses x 4 time points x 3 replicates (4 removed in QC) = 44 samples; 28Si ions = 3 doses x 4 time points x 3 replicates = 36 samples; X ray 2 doses x 4 time points x 3 replicates (2 removed in QC)= 22 samples. Overall design: Bisulphite converted DNA from the 102 samples were hybridized to the Illumina Infinium 450k Human Methylation Beadchip.

Frontiers in Toxicology paper, Differential transcriptomic alterations in nasal versus lung tissue of acrolein-exposed rats, 2023 Alewel DI. This dataset is associated with the following publication: Alewel, D., T. Jackson, K. Rentschler, M. Schladweiler, A. Astriab Fisher, S. Gavett, P. Evansky, and U. Kodavanti. Differential transcriptomic alterations in nasal versus lung tissue of acrolein-exposed rats. Frontiers in Toxicology. Frontiers, Lausanne, SWITZERLAND, 27(5): 1280230, (2023).

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.

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.

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.

Hematoxylin and eosin slides of lung tissue from brush mouse, deer mice, and pocket gophers were examined by a veterinary pathologist who marked areas of the tissue that showed normal, inflammation, bronchiolar hyperplasia, mineralization, intracellular refractile debris, macrophages, and parasitic pathology.