five

Incongruence between transcriptional and vascular pathophysiological cell states I

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE229793
下载链接
链接失效反馈
官方服务:
资源简介:
The Notch pathway is a major regulator of endothelial transcriptional specification. Targeting the Notch receptors or the ligand Dll4 induces angiogenesis. Here, by analyzing single and compound genetic mutants for all Notch signaling members, we find significant differences in the way ligands and receptors regulate liver vascular homeostasis. Loss of Notch receptors caused endothelial hypermitogenic cell-cycle arrest and senescence. Conversely, Dll4 loss triggered a strong Myc-driven transcriptional switch inducing endothelial proliferation and the tip-cell state. Myc loss suppressed the induction of angiogenesis in the absence of Dll4, without preventing the vascular enlargement and organ pathology. Similarly, inhibition of other pro-angiogenic pathways, including MAPK/ERK and mTor, had no effect on the vascular expansion induced by Dll4 loss, however, anti-VEGFA treatment prevented it without fully suppressing the transcriptional and metabolic programs. This study shows incongruence between single-cell transcriptional states, vascular phenotypes, and related pathophysiology. Our findings also suggest that the vascular structure abnormalization, rather than neoplasms, causes the reported anti-Dll4 antibody toxicity. Liver endothelial cells of the Cdh5-CreERT2 + iSuRe-Cre mice (with or without different floxed alleles) were isolated by Fluorescence-activated cell sorting (FACS) according to their CD31+ (ECs) profile and the presence of iSuRe-Cre reporter Tomato signal (induced by Cdh5-CreERT2 - expressed only in ECs). These cells were analyzed using scRNA-seq. Liver non Endothelial Cells of the Cdh5-CreERT2 + iSuRe-Cre mice were isolated by Fluorescence-activated cell sorting (FACS) after gating on the CD31Negative population with varying levels of CD45 (Neg, Lo and Hi) and analyzed using scRNAseq.
创建时间:
2023-10-03
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