five

Non-coding RNA profiling by high throughput sequencing

收藏
NIAID Data Ecosystem2026-05-10 收录
下载链接:
https://www.ncbi.nlm.nih.gov/sra/SRP564396
下载链接
链接失效反馈
官方服务:
资源简介:
Breast cancer poses a huge health threat in China. Research has found that RANBP1 is associated with poor prognosis of breast cancer and affects the expression of miRNA in colorectal cancer. However, its role in breast cancer is unclear.In our study, we constructed the sh-RANBP1 cell line and sh-NC cell line from the human breast cancer cell line MDA-MB-231, miRNA sequencing approaches were adoptedto analyze the significant differential expression between the two groups.Through this screening, we identified a total of 51 miRNAs with significant expression differences, of which 32 were up-regulated and 19 were down-regulated. Go and kegg enrichment analysis results show that the enrichment analysis results of the target genes of up-regulated mirna are mainly involved in pathways related to cancer such as pd-1 and micRNA, while the down-regulated ones are mainly involved in wnt and some tumor-related progression pathways .Our findings indicate that sh-RanBP1 influences miRNA expression, revealing significant differences based on the interaction network of miRNA.
创建时间:
2026-02-01
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