five

Transcriptional profiling of pH-dependent cell cycle progression

收藏
NIAID Data Ecosystem2026-03-12 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE145833
下载链接
链接失效反馈
官方服务:
资源简介:
Cells have evolved a complex network of signaling cascades that mediate cellular adaptation to availability of nutrients, growth factors or stress. In these networks, cellular information flow is mostly mediated by posttranslational modifications, most notably phosphorylation, or signaling molecules such as GTPases. However, genetic analysis has also implicated a number of proton transporters in regulating cellular signaling processes. Here, we report the transcriptional response of starved cells upon stimulation with serum and glucose upon inhibition of Sodium Hydrogen Exchangers and compare these responses to inhibition of cycle progression with the p300/CBP inhibitor C646. The gene expression profile of starved cells and starved cells stimulated with FCS and glucose for 4 hours in the presence of Dimethyl Amiliride (DMA, 100µM), C646 (10µM) or DMSO only, was compared by Illumina sequencing.
创建时间:
2020-11-10
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