Glucocorticoid Ligand Mixtures Bioassay 2
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Raw data for glucocorticoid receptor ligand exposure experiments. This dataset is associated with the following publication: MedlockKakaley, E., M. Cardon, E. Gray, P. Hartig, and V. Wilson. Generalized concentration addition model predicts glucocorticoid activity bioassay responses to environmentally detected receptor-ligand mixtures. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 252-263, (2019).
Glucocorticoid Ligand Mixtures Bioassay 1
공공데이터포털
Raw data for glucocorticoid receptor ligand exposure experiments. This dataset is associated with the following publication: MedlockKakaley, E., M. Cardon, E. Gray, P. Hartig, and V. Wilson. Generalized concentration addition model predicts glucocorticoid activity bioassay responses to environmentally detected receptor-ligand mixtures. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 252-263, (2019).
Glucocorticoid Ligand Mixtures Bioassay 3
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Raw data for each glucocorticoid ligand mixtures experiment. This dataset is associated with the following publication: MedlockKakaley, E., M. Cardon, E. Gray, P. Hartig, and V. Wilson. Generalized concentration addition model predicts glucocorticoid activity bioassay responses to environmentally detected receptor-ligand mixtures. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 252-263, (2019).
Embryonic stem cells and mice expressing different GFP variants for multiple non-invasive reporter usage within a single animal
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Background Non-invasive autofluorescent reporters have revolutionized lineage labeling in an array of different organisms. In recent years green fluorescent protein (GFP) from the bioluminescent jellyfish Aequoria Victoria has gained popularity in mouse transgenic and gene targeting regimes [1]. It offers several advantages over conventional gene-based reporters, such as lacZ and alkaline phosphatase, in that its visualization does not require a chromogenic substrate and can be realized in vivo. We have previously demonstrated the utility and developmental neutrality of enhanced green fluorescent protein (EGFP) in embryonic stem (ES) cells and mice [2]. Results In this study we have used embryonic stem (ES) cell-mediated transgenesis to test the enhanced cyan fluorescent protein (ECFP) and enhanced yellow fluorescent protein (EYFP), two mutant and spectrally distinct color variants of wild type (wt) GFP. We have also tested DsRed1, the novel red fluorescent protein reporter recently cloned from the Discostoma coral by virtue of its homology to GFP. To this end, we have established lines of ES cells together with viable and fertile mice having widespread expression of either the ECFP or EYFP GFP-variant reporters. However, we were unable to generate equivalent DsRed1 lines, suggesting that DsRed1 is not developmentally neutral or that transgene expression cannot be sustained constitutively. Balanced (diploid <-> diploid) and polarized (tetraploid <-> diploid) chimeras comprising combinations of the ECFP and EYFP ES cells and/or embryos, demonstrate that populations of cells expressing each individual reporter can be distinguished within a single animal. Conclusions GFP variant reporters are unique in allowing non-invasive multi-spectral visualization in live samples. The ECFP and EYFP-expressing transgenic ES cells and mice that we have generated provide sources of cells and tissues for combinatorial, double-tagged recombination experiments, chimeras or transplantations.
Code of Federal Regulations in XML
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The Code of Federal Regulations (CFR) is the codification of the general and permanent rules published in the Federal Register by the executive departments and agencies of the Federal Government. It is divided into 50 titles that represent broad areas subject to Federal regulation. Each print volume of the CFR is updated once each calendar year, and is issued on a quarterly basis. Bulk data downloads of Code of Federal Regulations files in XML format are available from 1996 to the present, by year, title, and volume. The current XML data set is not yet an official format of the Code of Federal Regulations. Only the PDF and Text versions have legal status as parts of the official online format of the Code of Federal Regulations. The XML-structured files are derived from SGML-tagged data and printing codes, which may produce anomalies in display. In addition, the XML data does not yet include image files. Users who require a higher level of assurance may wish to consult the official version of the Code of Federal Regulations on Govinfo.gov. The FDsys data set includes digitally signed Code of Federal Regulations PDF files, which may be relied upon as evidence in a court of law. See: https://www.govinfo.gov/app/collection/cfr/
Untargeted MS-based Monitoring of Glucuronides in Fish
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Prioritization of environmental contaminants can be aided by detecting glucuronidated biotransformation products in fish using untargeted mass spectrometry-based metabolomics. This dataset is associated with the following publication: Evich, M., J. Mosley, I. Ntai, J. Cavallin, D. Villeneuve, G. Ankley, T. Collette, and D. Ekman. Untargeted MSn-Based Monitoring of Glucuronides in Fish: Screening Complex Mixtures for Contaminants with Biological Relevance.. ACS ES&T Water. American Chemical Society, Washington, DC, USA, 2(12): 2481–2490, (2022).
Quantification of TAGs by LC-MS
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,This Microsoft Excel workbook contains spreadsheets for calculating response-factor normalized triacylglycerol (TAG) compositions from response factors derived from GC-FID of fatty acid methyl esters (FAME). This workbook (1.160 Mb) reads the output from a ThermoScientific XCalibur Quan Browser •Excel Short Report• (In XCalibur: File • Export data to Excel • Export Short Excel report), and requires input of the FA composition determined by GC-FID (manually entered or read from Excel spreadsheet [provided upon request]).,,
Liver steatosis study PFAA treated mouse gene array data
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This file contains a link for Gene Expression Omnibus and the GSE designations for the publicly available gene expression data used in the study and reflected in Figures 6 and 7 for the Das et al., 2016 paper. This dataset is associated with the following publication: Das, K., C. Wood, M. Lin, A.A. Starkov, C. Lau, K.B. Wallace, C. Corton, and B. Abbott. Perfluoroalky acids-induced liver steatosis: Effects on genes controlling lipid homeostasis. TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 378: 32-52, (2017).