five

Mice lung microbiomes' variable responses to dust exposure

收藏
DataONE2025-10-12 更新2025-10-18 收录
下载链接:
https://search.dataone.org/view/sha256:19c7ce141214c00787c48d1330799006c0a2bbb54c7875141bcda45deffe1342
下载链接
链接失效反馈
官方服务:
资源简介:
Inhalation of dust is significant and relevant to health effects. As pollution and climate change worsen in dryland regions, wind currents entrain loose sediment and dust. This potentially disperses toxic geochemical and microbial burdens throughout the region. When inhaled environmental dust and host-associated microbiomes mingle, they pose exposure risks to host respiratory health. The Salton Sea, California’s largest lake, is shrinking thus exposing nearby communities to playa dust. Therefore, we analyze the effect of Salton Sea dust exposure in murine models to relate lung microbial communities and respiratory health. We used an environmental chamber to expose mice to dust filtrate or ambient air and examined the effects of those exposures on lung microbiomes. We found that lung microbial composition varied by dust exposure. Furthermore, dust elicited neutrophil recruitment and immune responses more than mice exposed to ambient air. Sources of dust differentially affected the compos..., , # Mice lung microbiomes' variable responses to dust exposure Dataset DOI: [10.5061/dryad.95x69p8xh](10.5061/dryad.95x69p8xh) ## Description of the data and file structure These data are metadata related to mouse lung sequences from targeted amplicon sequencing of the marker gene 16S V3-V4 region. The file WIPD.bac.dat.meta_-_WIPD.bac.dat.meta.csv lists all ASVs and the **complete list of taxa in each sample** WIPD.bac.dat.meta has 26 column headings. Below is a list of column headers, including information about the meaning of the data in each column of the dataset. PD stands for Palm Desert, and Wi stands for Wister, which are two locations where dust was collected. * SampleID = which is the name identifying the sample * ASV_ID = which is the ASV (i.e., exact sequence variant) Identification code * Kingdom = Kingdom * Phylum = Phylum * Class = Class * Order = Order * Family = Family * Genus = Genus * Species = Species * Count = the number of reads that ASV has in that particular ...,
创建时间:
2025-10-13
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