Dataset Information


Endothelial cell heterogeneity in pathological angiogenesis characterized by metabolic transcriptome diversity

ABSTRACT: Endothelial cell (EC) metabolism regulates angiogenesis and is an emerging target for anti-angiogenic therapy in tumor and choroidal neovascularization (CNV). In contrast to tumor ECs (TECs), CNV-ECs cannot be isolated for unbiased metabolic target discovery. Here we used scRNA-sequencing to profile 28,337 choroidal ECs (CECs) from mice to in silico distinguish healthy CECs from CNV-ECs. Trajectory inference suggested that CNV-ECs plastically upregulate genes in central carbon metabolism and collagen biosynthesis during differentiation from quiescent postcapillary venous ECs. CEC-tailored genome scale metabolic modeling predicted essentiality of SQLE and ALDH18A1 for proliferation and collagen production, respectively. Comparative analysis in TECs revealed more outspoken metabolic transcriptome heterogeneity in subtypes and consistent upregulation of SQLE and ALDH18A1 across tumor types. Inhibition of SQLE and ALDH18A1 reduced sprouting angiogenesis in vitro. These findings demonstrate the potential of integrated scRNA-seq analysis to identify angiogenic metabolic targets in disease ECs.

INSTRUMENT(S): Illumina HiSeq 4000

ORGANISM(S): Musculus  

SUBMITTER: Shawez Khan  

PROVIDER: E-MTAB-8119 | ArrayExpress | 2020-03-31


Similar Datasets

2020-04-14 | PXD016678 | Pride
2020-03-31 | E-MTAB-8604 | ArrayExpress
2020-07-20 | E-MTAB-8604 | ExpressionAtlas
2016-01-01 | S-EPMC5168647 | BioStudies
2019-12-30 | E-MTAB-6308 | ArrayExpress
1000-01-01 | S-EPMC5080948 | BioStudies
2020-03-07 | E-MTAB-7458 | ArrayExpress
2020-01-01 | S-EPMC7510078 | BioStudies
2016-01-01 | S-EPMC4911089 | BioStudies
2020-02-13 | E-MTAB-8077 | ArrayExpress