Project description:The effect of FG-3019-treatment (monoclonal anti-CTGF antibody) on radiation induced lung fibrosis in C57BL/6 mice at different time points after irradiation was investigated.
Project description:Skin is usually exposed during human exposures to ionizing radiation, however there are few experiments that evaluate the radiation responsiveness of the cells of the epidermis (keratinocytes) and those of the dermis (fibroblasts) in the same studies. We evaluated the transcriptional responses of quiesent primary keratinocytes and fibroblasts from the same individual and compared them with quiescent keratinocytes and fibroblasts that were immortalized by human telomerase (hTert). The primary transcriptional responses to 10-500 cGy ionizing radiation were p53-mediated responses; however, we did identify distinct responses between the keratinocytes and the fibroblasts. Experiment Overall Design: Four cell types (primary keratinocytes, hTert immortalized keratinocytes, primary fibroblasts, hTert immortalized fibroblasts) grown to quiescence, treated with 0, 10, 100 or 500 cGy gamma irradiation, RNA collected at 4 hrs.
Project description:A major challenge in bone allogeneic marrow (BM) transplantation is overcoming engraftment resistance to avoid the clinical problem of graft rejection. Identifying genes and pathways that regulate BM engraftment may reveal molecular targets for overcoming these engraftment barriers. Previously, we developed a mouse model of BM transplantation that utilizes recipient conditioning with non-myeloablative total body irradiation followed by transplantation of allogeneic BM cells. We defined TBI doses that lead to graft rejection, that are permissive for engraftment, and mouse strain variation with regards to the permissive TBI dose. We now report gene expression analysis, using the Agilent Mouse 8x60K v3 expression arrays, in spleen of mice conditioned with TBI doses for evaluation in correlation to the expected engraftment phenotype. The spleens of mice given TBI demonstrated extensive differential gene expression, compared with un-irradiated controls, at both multiple testing-corrected P < .05 and fold change greater than or equal to 2 levels. Functional analysis revealed significant enrichment for up-regulation of canonical pathways involved in inflammation, even when treated with TBI doses not permissive for engraftment. Consistent with this the most significantly associated upstream regulators included lipopolysaccharide, tumor necrosis factor, and a toll-like receptor. Unique to engrafting mice, however, were enrichment for a down-regulated canonical pathway related to B-cell development. Results from this analysis have identified canonical pathways and upstream regulators of BM engraftment in mice and may lead to new approaches to overcome the problem of graft rejection complicating clinical BM transplantation. Each individual sample was pooled from 3 mice and performed in triplicate for each experimental group (TBI 300 cGy, 400 cGy, or 500 cGy) and for each strain mice (BALB.K or B10.BR) for statistical analysis. Additional arrays were perfromed for TBI 800 cGy (BALB.K) and TBI 900 cGy (B10.BR) for anlaysis of gene expressive after myeloablative condition.
Project description:The Gvh1 gene loci was identified by linkage analysis in a segregating mouse backcross. Congenic mapping has refined the linked loci to a 1.3 Mb interval on mouse Chr16 (39.41 - 40.71Mb) that constitutes the congenic interval in the B10.BALB-16.C2A mouse line. Gene expression microarray was performed to characterize downstream transcripitional regulation by risk variants in the congenic interval;. Each individual sample was pooled from 3 mice and performed in triplicate for each experimental group (TBI 900 cGy versus 0 cGy) for statistical analysis.
Project description:Inversions have a breakpoint within a "neighbourhood" of embryonically expressed genes and the other breakpoint megabases away. The gene expression neighbourhood is therefore intact in the progenitor but disrupted in the inversion. 1 progenitor stock and 1 inversion stock, 4 biological replicates for each, including 2 dye swaps.
Project description:Radiation biodosimetry can play a critical role in the response to a large-scale radiologic emergency, and gene expression profiles have shown promise for providing biodosimetric information. This study was designed to test if gene expression could be used to distinguish between doses received from acute exposures and more protracted exposures, such as those that would result from fallout. Mice were exposed to whole body X-rays at low dose rate (LDR, 3.09 mGy/min) for 6, 12, or 24 hours (1.1, 2.2, or 4.4 Gy), or to equivalent doses delivered at high dose rate (HDR, 1.03 Gy/min). Global gene expression was measured in their blood 24 h after the start of exposure, and genes with the potential to classify samples by radiation dose and dose rate were identified. Data consist of 48 samples, representing 6 independent samples each from 3 doses delivered as either acute or low dose rate x-rays, plus 12 controls representing both acute and low dose rate sham treatments.
Project description:There are many toxic chemicals to contaminate the world and cause harm to human and other organisms. How to quickly discriminate these compounds and characterize their potential molecular mechanism and toxicity is essential. High through put transcriptomics profiles such as microarray have been proven useful to identify biomarkers for different classification and toxicity prediction purposes. Here we aim to investigate how to use microarray to predict chemical contaminants and their possible mechanisms. In this study, we divided 105 compounds plus vehicle control into 14 compound classes. On the basis of gene expression profiles of in vitro primary cultured hepatocytes, we comprehensively compared various normalization, feature selection and classification algorithms for the classification of these 14 class compounds. We found that normalization had little effect on the averaged classification accuracy. Two support vector machine methods LibSVM and SMO had better classification performance. When feature sizes were smaller, LibSVM outperformed other classification methods. Simple logistic algorithm also performed well. At the training stage, usually the feature selection method SVM-RFE performed the best, and PCA was the poorest feature selection algorithm. But overall, SVM-RFE had the highest overfitting rate when an independent dataset used for a prediction in this case. Therefore, we developed a new feature selection algorithm called gradient method which had a pretty high training classification as well as prediction accuracy with the lowest over-fitting rate. Through the analysis of biomarkers that distinguished 14 class compounds, we found a goup of genes that mainly invovled in cell cylce were significanly downregulated by the metal and inflammatory compounds, but were induced by anti-microbial, cancer related drugs, pesticides, and PXR mediators. For in vitro experiment, primary cultured rat hepatocytes were treated one of 105 compounds with relative controls. At least three biological replicates were used for each unique condition. In total 531 arrays were used.
Project description:Microarray analyses of WPMY-1 <br><br>cells, either untreated (solvent) or treated with <br><br>GW501516 (0.3 µM), TGFBeta2 (10 ng/ml), or <br><br>both ligands for 6 h.