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8.1.1 Genomic and system-level approaches In the last two to three decades, NGS technologies have generated large amounts of omics data (genomics, transcriptomics, proteomics, epigenomics, and metabolomics), post-translational modification data (phosphorylation, SUMOylation, ubiquitinylation, etc.), single-cell, ATAC-Seq data and more, which provide a powerful lens for deciphering the molecular landscape of breast cancer (269)
This association was largely explained by a reduced risk of compensated and decompensated cirrhosis (aHR: 0.85), whereas no significant effect was observed for HCC (aHR: 1.05) [60]
Without enough L-carnitine, fewer fatty acids get into the mitochondria, and more fat gets stored instead of burned
Ventura M, Melo M, Carrilho F
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