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10.1074/jbc.M200497200 130

Integrating multi-omics data, a pathway analysis, and computational modeling may offer powerful tools to investigate metabolic reprogramming in ECs during aging and atherosclerosis, as exemplified by Kalucka et al.s single-cell RNA-sequencing (scRNA-Seq) atlas of 11 mouse tissues, which revealed 78 EC subclusters and highlighted tissue origin as the primary determinant of EC heterogeneity, including tissue-specific metabolic profiles [234]

Additionally, the overall cost may be a concern, especially when multiple sessions are required

Showed accelerated muscle healing through growth factor upregulation