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Biology subjects

Bartman, C.

Publications and source records attributed to Bartman, C..

3 recordsLinked to original sources

Mitophagy Inhibition Promotes Survival and Mitochondrial Function in MYC-driven HCC

Hepatocellular carcinomas (HCC) are genetically heterogeneous cancers frequently characterized by MYC gene amplification or hyperactivating {beta}-catenin (CTNNB1) mutations. Analysis of TCGA transcriptomics revealed that MYC-driven HCC tumors have decreased expression of mtDNA-encoded genes, but increased expression of nuclear-encoded mitochondrial genes. To investigate this apparent discrepancy, we generated MYC- and CTNNB1-driven murine HCCs, all of which displayed aberrant mitochondrial metabolism. Notably, MYC-driven tumors exhibited significant reductions in OXPHOS and TCA cycle activity that correlated with increased ROS levels, as well as elevated mitochondrial turnover through mitochondrial fission and mitophagy. MYC induces the expression of nuclear respiratory factor 1 (NRF1), which regulates DRP1 and other genes to promote receptor-mediated mitophagy. Knocking out DRP1 reduced mitophagy and ROS levels and promoted survival of HCC-bearing mice. These results identify elevated mitochondrial turnover as a potential therapeutic target in MYC-driven HCC. SignificanceHepatocellular carcinoma can arise from multiple oncogenes, making targeted therapy more difficult. Here we show that tumors with MYC amplification lose mitochondrial function via fission and mitophagy upregulation. Targeting mitochondrial quality control results in increased survival suggesting a therapeutic window in MYC-driven HCC.

cancer biology↗

Biosynthetic plasticity enables CD8+ T cell functional resilience under nutrient stress

Summary / AbstractTo maintain lineage-specific functions, cells must acquire and allocate nutrients across diverse cellular processes, even in metabolically-dysregulated environments. The mechanisms allowing CD8+ T cells to maintain immune function in perturbed environments are poorly understood. We find that CD8+ T cells adapt to nutrient stresses over time, reconfiguring gene-regulatory and metabolic networks to license functional recovery. Under acute stress, T cells reorient translational programming, limiting nutrient demand while prioritizing stress-sensitive metabolic and transcriptional responses. Within these responses, the transcription factors ATF4 and CEBPG jointly establish an adaptive metabolic program, promoting amino acid synthesis and uptake while maintaining mitochondrial anaplerosis. Despite diminished energetic capacity under environmental stress, this program prevents failure of central carbon metabolism, mitigating stress amplification and cellular dysfunction to potentiate anti-tumor immunity. Altogether, we demonstrate that biosynthetic plasticity via translational and metabolic reprioritization confers functional resilience to immune cells in unfavorable environments, offering novel strategies to enhance immunotherapies.

immunology↗

Quantitative fluxomics of circulating metabolites

Mammalian organs are nourished by nutrients carried by the blood circulation. These nutrients originate from diet and internal stores, and can undergo various interconversions before their eventual use as tissue fuel. Here we develop isotope tracing, mass spectrometry, and mathematical analysis methods to determine the direct sources of circulating nutrients, their interconversion rates, and eventual tissue-specific contributions to TCA cycle metabolism. Experiments with fifteen nutrient tracers enabled extensive accounting both for circulatory metabolic cycles and tissue TCA inputs, across fed and fasted mice on either high carbohydrate or ketogenic diet. We find that a majority of circulating carbon flux is carried by two major cycles: glucose-lactate and triglyceride-glycerol-fatty acid. Futile cycling through these pathways is prominent when dietary content of the associated nutrients is low, rendering internal metabolic activity robust to food choice. The presented in vivo flux quantification methods are broadly applicable to different physiological and disease states.

systems biology↗