five

RNA profiling of cervical cancer exosomes using next- generation sequencing.

收藏
NIAID Data Ecosystem2026-03-13 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE161875
下载链接
链接失效反馈
官方服务:
资源简介:
In the preset study we isolated and characterized exosomes from both HPV positive and negative cervical cancer cell lines and identified a subset of mRNA’s enriched specifically in HPV positive exosomes through deep sequencing methods. Potential target prediction gene ontology, KEGG pathway analysis revealed possible functions associated with differentially expressed genes of CaCx exosomes. Profiling of these exosomes also revealed the export of HPV 16 associated transcripts (E1,E2, E5, and L2) within SiHa exosomes, however no such export was observed for major oncogenic transcripts (E6 and E7). Our Reverse transcription PCR experiments could validate our deep sequencing results for the absence of E6, E7 transcripts in exosomes. Interestingly, PCR could amplify a truncated version of E6 transcript in HeLa exosomes, which was not detectable in our sequencing results. To study the differentially expressed genes in HPV-positive and negative cervical cancer cell lines exosomes
创建时间:
2022-06-01
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