five

DDX53 drives transcriptome changes in human TCam-2 cells (RNA-seq data)

收藏
NIAID Data Ecosystem2026-05-10 收录
下载链接:
https://www.ncbi.nlm.nih.gov/sra/SRP650650
下载链接
链接失效反馈
官方服务:
资源简介:
DDX53 (DEAD-box helicase 53, known also as CAGE) is an intronless gene on the X chromosome, which expression shows strong testis and brain specificity. Additionally, it belongs to the group of cancer-testis (CT) antigens, with most studies to date focusing on its role in cancer. Previous reports of rare variants within the DDX53 in infertile men have provided a rationale for our study of DDX53 in the context of human spermatogenesis. By using the human seminoma cell line (TCam-2) as an in vitro male germline model, we aimed to investigate the function and molecular targets of DDX53 protein. Our eCLIP and RNA-seq data show that DDX53 protein binds a wide repertoire of RNA targets, drives transcriptome changes in human cells, and is involved in alternative splicing of RNA transcripts. Further, we examined the localization of DDX53 using confocal microscopy, revealing that it is mainly located in the cytoplasm, but also in the nucleus of TCam-2 cells. Our data indicate that DDX53 protein acts as a regulator of RNA metabolism in human cells. Collectively, we show that DDX53 participates in transcriptome regulation (including splicing) in male germ cells and exhibits transcriptome-wide RNA interactions, but its wider biological role remains to be clarified. Overall design: The RNA-seq experiment was done in duplicate and performed using TCam-2 cells transduced with DDX53-FLAG, GFP-FLAG and non-transduced WT. Cells transduced with GFP-FLAG and non-transduced WT TCam-2 cells were used as negative controls in order to perform analysis of differentially expressed and differentially spliced genes upon DDX53 overexpression. RNA-seq data from non-transduced WT TCam-2 cells and TCam-2 transduced with GFP-FLAG are deposited in the GEO database under accession code GSE294696.
创建时间:
2026-02-13
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