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Mapping dysregulated lipid metabolism in disease using chemoproteomic and metabolomic platforms (476.3)
Author(s) -
Nomura Daniel
Publication year - 2014
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.28.1_supplement.476.3
Subject(s) - metabolomics , metabolic pathway , disease , warburg effect , biology , cancer , computational biology , lipid metabolism , bioinformatics , metabolism , cancer cell , genetics , medicine , biochemistry
Cancer cells possess fundamentally altered metabolism that drives every aspect of cancer pathogenicity. While targeting dysregulated metabolism shows great promise for cancer therapy, most research has focused on well‐understood pathways in metabolism (i.e. Warburg), and has largely ignored the majority of metabolic pathways despite indications of their importance to cancer, leaving untapped the large therapeutic potential that remains in the unexplored metabolic genome. Here, we will discuss progress towards performing massively parallel metabolic mapping studies to identify nodal altered metabolic pathways underlying cancer pathogenesis.