five

High-throughput transcriptomics of water extracts detects reductions in biological activity with water treatment processes

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://www.ncbi.nlm.nih.gov/sra/SRP480322
下载链接
链接失效反馈
官方服务:
资源简介:
The presence of numerous chemical contaminants from industrial, agricultural, and pharmaceutical sources in water supplies poses a potential risk to human and ecological health. Current chemical analyses suffer from limitations including chemical coverage and high cost, and broad-coverage in vitro assays such as transcriptomics may further improve water quality monitoring by assessing a large range of possible effects. Here, we used high-throughput transcriptomics to assess the activity induced by field-derived water extracts in MCF7 breast carcinoma cells. Overall design: Wastewater, surface water, drinking water, and reclaimed water samples were collected from four sites in the United States and Australia and prepared via solid phase extraction. Samples were generally collected as pairs: surface and drinking water (as conventional water supply) and wastewater and reclaimed water (as purified recycled water). Resulting extracts were exposed to MCF7 breast carcinoma cells in an eight-point dilution series (concentration factor 0.01-50) for 6 h using three independent cultures per dose.
创建时间:
2024-03-06
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作