five

Next Generation Sequencing Facilitates Quantitative Analysis of three groups from mouse liver Transcriptomes. Next Generation Sequencing Facilitates Quantitative Analysis of three groups from mouse liver Transcriptomes

收藏
NIAID Data Ecosystem2026-03-10 收录
下载链接:
https://www.ncbi.nlm.nih.gov/bioproject/PRJNA471641
下载链接
链接失效反馈
官方服务:
资源简介:
Liver mRNA profiles of WT liver(WT1-WT3) and Alb-Cre:Hdac3−/− liver (0d(Ha-Hc), 7d(Hd-Hg), 21d(Hh-Hk), 50d(Hl-Hn)) receiving successive PH(sPH), Alb-Cre:Hdac3−/− tumor tissues(HCC1-HCC3) and adjacent non-tumor tissues(N1-N3), spontaneous liver cancers of Alb-Cre:Hdac3-/- mice (HCC1-HCC3) and liver tumor of recipient Fah-/- mice (HCCa-HCCc) were generated by deep sequencing. Overall design: mRNA profiles of spontaneous liver cancers of Alb-Cre:Hdac3-/- mice (HCC1-HCC3) and liver tumor of recipient Fah-/- mice (HCCa-HCCc) were used to analyze the Pearson correlation coefficient; liver mRNA profiles of WT liver and Alb-Cre:Hdac3−/− liver (0d(Ha-Hc), 7d(Hd-Hg), 21d(Hh-Hk), 50d(Hl-Hn)) receiving successive PH(sPH), Alb-Cre:Hdac3−/− tumor tissues (HCC1-HCC3) and adjacent non-tumor tissues (N1-N3)were used to analyze the volcano plot, heatmap etc.
创建时间:
2018-05-15
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