five

Endothelial-specific c-Myc depletion enhances diet-induced liver inflammation and fibrosis

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://www.ncbi.nlm.nih.gov/sra/SRP323632
下载链接
链接失效反馈
官方服务:
资源简介:
Endothelial cells play an essential role in inflammation through synthesis and secretion of chemoattractant cytokines and expression of adhesion molecules required for inflammatory cell attachment and infiltration. The mechanisms by which endothelial cells control its pro-inflammatory response depends on the type of inflammatory stimuli, endothelial cell origin and tissue involved. In the present study, we investigate the role of the transcription factor c-Myc in inflammation using a conditional knockout mouse model in which Myc is specifically deleted in the endothelium (EC-Myc KO). Using an experimental model of nonalcoholic steatohepatitis, we investigated the involvement of endothelial c-Myc in diet-induced inflammation. EC-Myc KO animals displayed enhanced pro-inflammatory response relative to control, which was characterized by increased expression of pro-inflammatory cytokines and leukocyte infiltration as well as worsened liver fibrosis. Transcriptome analysis suggested that different pro-inflammatory pathways are activated in control and endothelial Myc knockout after exposure to high-fat diet. Analysis of published single cell RNA-sequencing data available on human cirrhotic livers indicated that MYC was downregulated in endothelial cells relative to healthy individuals. Our results suggest a protective role for endothelial c-Myc in diet-induced liver inflammation and fibrosis. Targeting c-Myc and its downstream pathways in the endothelium may be a promising strategy for treatment of diet-induced inflammatory disease. Overall design: Floxed control (CT) and endothelial c-Myc knockout (EC-Myc KO) mice received tamoxifen injection at 5 weeks of age to induce Cre activity. 2 weeks after injection, animals were fed with low fat control diet (CTD) or high-fat/cholesterol diet (HFC) for 5 weeks. Livers were haversted for transcriptome analysis.
创建时间:
2024-04-25
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