title: A metabolomics strategy for detecting protein-metabolite interactions to identify natural nuclear receptor ligands.
abstract: Nuclear receptors are ligand-regulated transcription factors that control a range of (patho)physiological processes. Lipids are the most common type of nuclear receptor ligands. Here, we utilize a metabolomics approach that detects protein-metabolite interactions to identify endogenous peroxisome proliferator-activated receptor (PPAR) ligands from tissue and cell extracts.
authors.affiliation: Department of Chemistry and Chemical Biology, Harvard University, 12 Oxford St., Cambridge, MA, USA.
authors.forename: Yun-Gon
authors.initials: YG
authors.lastname: Kim
authors.forename: Angela C
authors.initials: AC
authors.lastname: Lou
authors.forename: Alan
authors.initials: A
authors.lastname: Saghatelian
mesh_terms: D000818:Animals; D002853:Chromatography, Liquid; D008024:Ligands; D013058:Mass Spectrometry; D055432:Metabolomics; D051379:Mice; D041681:NIH 3T3 Cells; D047492:Peroxisome Proliferator-Activated Receptors / Q000378:metabolism; D011485:Protein Binding; D018160:Receptors, Cytoplasmic and Nuclear / Q000378:metabolism*
chemical_list: D008024:Ligands; D047492:Peroxisome Proliferator-Activated Receptors; D018160:Receptors, Cytoplasmic and Nuclear