VEGFA Stop-gained Variant Deteriorates Cardiac Remodeling in Myocardial Infarction [RNA-seq]
收藏NIAID Data Ecosystem2026-05-10 收录
下载链接:
https://www.ncbi.nlm.nih.gov/sra/SRP547396
下载链接
链接失效反馈官方服务:
资源简介:
A sustained dosage of Vascular Endothelial Growth Factor A (VEGFA) is crucial for angiogenesis in both homeostasis and cardiovascular diseases. CUG-initiated alternative translation is a conserved mechanism for producing mature VEGFA. Genetic surveys have identified stop-gained variants predicted to prematurely terminate CUG-initiated translation without affecting ATG-initiated translation. However, the impacts of these variants on the vasculature in steady-state and disease conditions remain unknown. Here, we identified that homozygous mice carrying the stop-gained variant were viable. VEGFA dosage reduced to 70% in the Q150X homeostatic heart, with no significant alteration in cardiac function or vasculature. In the MI model, VEGFA dosage in Q150X was reduced to about 40% within the first-week post-infarction, leading to functional deterioration in the post-MI hearts. Significant changes in cellular composition were observed three days post-MI. In particular, endothelial cells in Q150X diverged into a state that showed higher level of hypoxia stress, an elevated inflammatory response, and increased extracellular matrix secretion. Additionally, we observed an increase of Nppb+ stressed cardiomyocytes in both 3 days post-MI and homeostasis. Finally, pro-inflammatory macrophages, neutrophils, and Cd8+T cells were enriched in the ischemic zone of Q150X hearts. CUG-initiated translation contributes significantly to the production of mature VEGFA in ischemic hearts. VEGFA dosage is critical in determining the cellular microenvironment during ischemic injury. Overall design: Using CRISPR/Cas9 genome editing, we established VegfaQ150X/Q150 allele (Q150X), a mouse genetic model that mimics the human VEGFA stop-gained variant. The effects of this variant were tested in both adult homeostatic conditions and the acute myocardial infarction (MI) model. We then performed gene expression profiling analysis using data obtained from bulk RNAseq of whole hearts, endothelial cells(EC) and cardiomyocytes(CM) and and single-nulceus RNAseq of whole hearts from WT and Q150X(HO) at homeostasis(homeo) and different time points following MI.
创建时间:
2026-02-24



