Driscoll Heather E, Murray Janet M, English Erika L, Hunter Timothy C, Pivarski Kara, Dolci Elizabeth D
Vermont Genetics Network, Department of Biology, Norwich University, 158 Harmon Drive, Northfield, VT 05663, USA.
Vermont Genetics Network, Department of Biology, University of Vermont, 120A Marsh Life Science, Burlington, VT 05405, USA.
Data Brief. 2017 May 12;13:37-45. doi: 10.1016/j.dib.2017.05.021. eCollection 2017 Aug.
Here we describe microarray expression data (raw and normalized), experimental metadata, and gene-level data with expression statistics from exposed to simulated asbestos mine drainage from the Vermont Asbestos Group (VAG) Mine on Belvidere Mountain in northern Vermont, USA. For nearly 100 years (between the late 1890s and 1993), chrysotile asbestos fibers were extracted from serpentinized ultramafic rock at the VAG Mine for use in construction and manufacturing industries. Studies have shown that water courses and streambeds nearby have become contaminated with asbestos mine tailings runoff, including elevated levels of magnesium, nickel, chromium, and arsenic, elevated pH, and chrysotile asbestos-laden mine tailings, due to leaching and gradual erosion of massive piles of mine waste covering approximately 9 km. We exposed yeast to simulated VAG Mine tailings leachate to help gain insight on how eukaryotic cells exposed to VAG Mine drainage may respond in the mine environment. Affymetrix GeneChip® Yeast Genome 2.0 Arrays were utilized to assess gene expression after 24-h exposure to simulated VAG Mine tailings runoff. The chemistry of mine-tailings leachate, mine-tailings leachate plus yeast extract peptone dextrose media, and control yeast extract peptone dextrose media is also reported. To our knowledge this is the first dataset to assess global gene expression patterns in a eukaryotic model system simulating asbestos mine tailings runoff exposure. Raw and normalized gene expression data are accessible through the National Center for Biotechnology Information Gene Expression Omnibus (NCBI GEO) Database Series GSE89875 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE89875).
在此,我们描述了微阵列表达数据(原始数据和标准化数据)、实验元数据以及基因水平数据,这些数据包含了对来自美国佛蒙特州北部贝尔维代尔山的佛蒙特石棉集团(VAG)矿模拟石棉矿排水暴露后的表达统计信息。在近100年的时间里(从19世纪90年代末到1993年),温石棉纤维在VAG矿从蛇纹石化超镁铁质岩石中提取出来,用于建筑和制造业。研究表明,附近的水道和河床已被石棉矿尾矿径流污染,包括镁、镍、铬和砷含量升高、pH值升高以及含有温石棉的矿尾矿,这是由于覆盖面积约9公里的大量矿渣堆的浸出和逐渐侵蚀所致。我们将酵母暴露于模拟的VAG矿尾矿渗滤液中,以帮助了解真核细胞在暴露于VAG矿排水时在矿区环境中的反应。使用Affymetrix GeneChip®酵母基因组2.0阵列评估暴露于模拟VAG矿尾矿径流24小时后的基因表达。还报告了矿尾矿渗滤液、矿尾矿渗滤液加酵母提取物蛋白胨葡萄糖培养基以及对照酵母提取物蛋白胨葡萄糖培养基的化学组成。据我们所知,这是第一个评估模拟石棉矿尾矿径流暴露的真核模型系统中全球基因表达模式的数据集。原始和标准化的基因表达数据可通过美国国立医学图书馆国家生物技术信息中心基因表达综合数据库(NCBI GEO)系列GSE89875获取(https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE89875)。