<b>Supplement data for "Impact of the Warburg Effect on Nucleotide Homeostasis in Human Retinal Endothelial Cells and its Relevance to Proliferative Diabetic Retinopathy"</b>

Dataset Description: This dataset contains quantitative metabolite measurements from cultured human retinal endothelial cells exposed to different experimental conditions, including normoxia (Control), hyperglycemia (HG), hypoxia (Hyp), and combined hyperglycemia plus hypoxia (HG/Hyp). The dataset focuses on the purine and pyrimidine metabolic pathways and includes individual measurements for key metabolites such as ATP, AMP, GTP, IMP, ribose-5-phosphate, uridine, cytidine, and related nucleotide/nucleoside pools. Metabolite levels were measured in biological replicates (n = 4 per group), and statistical analysis was performed using Fisher’s t-test to assess pairwise differences between control and experimental conditions. The dataset reports group means, mean differences, t-statistics, degrees of freedom, significance thresholds, and individual p-values. Significant changes are flagged with standard significance notations (* p &lt; 0.05, ** p &lt; 0.01). This dataset can be used to: Explore metabolic reprogramming of nucleotide metabolism under diabetic and hypoxic stress. Support hypothesis generation related to angiogenesis and energy metabolism in retinal disease. File contents: Raw metabolite quantification values (mean per group). Statistical comparisons (Control vs. Hyp, Control vs. HG, Control vs. HG/Hyp). Significance indicators and p-values for each metabolite. File format: Excel spreadsheet (.xlsx).