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- Metabolomics (2)
- Cancer (1)
- Cancer biology (1)
- Cell metabolism (1)
- Checkpoint inhibition (1)
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- Fatty acid biosynthesis (1)
- Fatty acid metabolism (1)
- Fe-S clusters (1)
- Human (1)
- Human macrophage metabolism (1)
- Iron (1)
- Iron deficiency (1)
- Iron metabolism (1)
- Iron-sulfur protein (1)
- Isotopic tracer (1)
- Lipid synthesis (1)
- Lipoic acid (1)
- Mass spectrometry (MS) (1)
- Metabolic reprogramming (1)
- Metabolism (1)
- Mitochondria (1)
- Mitochondrial disease (1)
- Non small cell lung cancer (1)
- Nuclear magnetic resonance (NMR) (1)
- Pembrolizumab (1)
- Stable isotope resolved metabolomics (1)
- Steatosis (1)
- Tumor microenvironment (1)
Articles 1 - 3 of 3
Full-Text Articles in Cancer Biology
Innate Immune Activation By Checkpoint Inhibition In Human Patient-Derived Lung Cancer Tissues, Teresa W. M. Fan, Richard M. Higashi, Huan Song, Saeed Daneshmandi, Angela L. Mahan, Matthew S. Purdom, Therese J. Bocklage, Thomas A. Pittman, Daheng He, Chi Wang, Andrew N. Lane
Innate Immune Activation By Checkpoint Inhibition In Human Patient-Derived Lung Cancer Tissues, Teresa W. M. Fan, Richard M. Higashi, Huan Song, Saeed Daneshmandi, Angela L. Mahan, Matthew S. Purdom, Therese J. Bocklage, Thomas A. Pittman, Daheng He, Chi Wang, Andrew N. Lane
Center for Environmental and Systems Biochemistry Faculty Publications
Although Pembrolizumab-based immunotherapy has significantly improved lung cancer patient survival, many patients show variable efficacy and resistance development. A better understanding of the drug’s action is needed to improve patient outcomes. Functional heterogeneity of the tumor microenvironment (TME) is crucial to modulating drug resistance; understanding of individual patients’ TME that impacts drug response is hampered by lack of appropriate models. Lung organotypic tissue slice cultures (OTC) with patients’ native TME procured from primary and brain-metastasized (BM) non-small cell lung cancer (NSCLC) patients were treated with Pembrolizumab and/or beta-glucan (WGP, an innate immune activator). Metabolic tracing with 13C6-Glc/ …
Acute Loss Of Iron-Sulfur Clusters Results In Metabolic Reprogramming And Generation Of Lipid Droplets In Mammalian Cells, Daniel R. Crooks, Nunziata Maio, Andrew N. Lane, Michal Jarnik, Richard M. Higashi, Ronald G. Haller, Ye Yang, Teresa Whei-Mei Fan, W. Marston Linehan, Tracey A. Rouault
Acute Loss Of Iron-Sulfur Clusters Results In Metabolic Reprogramming And Generation Of Lipid Droplets In Mammalian Cells, Daniel R. Crooks, Nunziata Maio, Andrew N. Lane, Michal Jarnik, Richard M. Higashi, Ronald G. Haller, Ye Yang, Teresa Whei-Mei Fan, W. Marston Linehan, Tracey A. Rouault
Center for Environmental and Systems Biochemistry Faculty Publications
Iron–sulfur (Fe-S) clusters are ancient cofactors in cells and participate in diverse biochemical functions, including electron transfer and enzymatic catalysis. Although cell lines derived from individuals carrying mutations in the Fe-S cluster biogenesis pathway or siRNA-mediated knockdown of the Fe-S assembly components provide excellent models for investigating Fe-S cluster formation in mammalian cells, these experimental strategies focus on the consequences of prolonged impairment of Fe-S assembly. Here, we constructed and expressed dominant–negative variants of the primary Fe-S biogenesis scaffold protein iron–sulfur cluster assembly enzyme 2 (ISCU2) in human HEK293 cells. This approach enabled us to study the early metabolic reprogramming …
Exploring Cancer Metabolism Using Stable Isotope-Resolved Metabolomics (Sirm), Ronald C. Bruntz, Andrew N. Lane, Richard M. Higashi, Teresa W. -M. Fan
Exploring Cancer Metabolism Using Stable Isotope-Resolved Metabolomics (Sirm), Ronald C. Bruntz, Andrew N. Lane, Richard M. Higashi, Teresa W. -M. Fan
Center for Environmental and Systems Biochemistry Faculty Publications
Metabolic reprogramming is a hallmark of cancer. The changes in metabolism are adaptive to permit proliferation, survival, and eventually metastasis in a harsh environment. Stable isotope-resolved metabolomics (SIRM) is an approach that uses advanced approaches of NMR and mass spectrometry to analyze the fate of individual atoms from stable isotope-enriched precursors to products to deduce metabolic pathways and networks. The approach can be applied to a wide range of biological systems, including human subjects. This review focuses on the applications of SIRM to cancer metabolism and its use in understanding drug actions.