RNA-Seq of PRMT1 overexpression ECA109 cells
收藏NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE128913
下载链接
链接失效反馈官方服务:
资源简介:
RNA-seq was performed on three biological replicates. Total RNA from ECA109 LV-GFP/LV-PRMT1.Differentially expressed genes were considered to be significant between groups when the P-value was <0.05 and the fold change of expression was ≥2-fold or ≤0.5-fold. By this way, the RNA-Seq data showed the differential expression genes in PRMT1 overexpression ECA109 cells compared with NC cells. Furthermore, Gene ontology (GO) analysis was performed to facilitate elucidating the biological implications of the differentially expressed genes in the experiment. Pathway analysis was used to find out the significant pathway of the differentially expressed genes according to KEGG database. In conclusion, our study represents the first detailed analysis of PRMT1 transcriptomes in esophageal squamous cell carcinoma cells. Exploring changes of transcriptome in in PRMT1 overexpression ECA109 cells compared with control ECA109 cells
创建时间:
2019-05-09



