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Image Search Results
Journal: Cancer Immunology Research
Article Title: TCR-Independent Metabolic Reprogramming Precedes Lymphoma-Driven Changes in T-cell Fate
doi: 10.1158/2326-6066.CIR-21-0813
Figure Lengend Snippet: Energetics of Eμ- Myc lymphoma cells during disease progression. A, Time schematic of when Eμ- Myc lymphoma-bearing C57BL/6J mice were analyzed following transplant; control (C, day 0), early (E, day 7), and late (L, day 14). B, Total splenocyte number ( n = 5–7 mice) from Eμ- Myc lymphoma-bearing mice. C, Tumor cell size and ( D ) mitochondrial biomass, measured by flow cytometry, of Eμ- Myc lymphoma cells versus normal splenic B cells ( n = 5–9 mice). E, PCA and ( F ) heat map of differentially abundant metabolites of Eμ- Myc lymphoma cells derived from spleens, at the indicated time points following lymphoma transplant, versus normal splenic B cells using untargeted metabolomics analysis ( n = 4 mice/cohort). G, Levels of select metabolites in the glutaminolysis and glycolysis pathways, and in the TCA cycle, from the metabolomics data. αKG, alpha-ketoglutarate; G-6-P, glucose-6-phosphate; F-6-P, fructose-6-phosphate; DHAP, dihydroxyacetone phosphate; G-3-P, glyceraldehyde-3-phosphate; 2-PGA, 2-phosphoglyceric acid. Experiments in B to D were analyzed by one-way ANOVA and Dunnett multiple comparisons and were two independent experiments combined. Metabolomics data in E to G were analyzed using PCA and ANOVA in Metaboanalyst. Each dot indicates a biologically independent sample, and all data are mean ± SEM (*, P < 0.05; **, P < 0.01; ***, P < 0.001; ****, P < 0.001; n.s., not significant; for G , *, FDR < 0.05).
Article Snippet: The
Techniques: Biomarker Discovery, Control, Flow Cytometry, Derivative Assay
Journal: Cancer Immunology Research
Article Title: TCR-Independent Metabolic Reprogramming Precedes Lymphoma-Driven Changes in T-cell Fate
doi: 10.1158/2326-6066.CIR-21-0813
Figure Lengend Snippet: Metabolic reprogramming of CD4 + T cells occurs early during Eμ- Myc lymphoma progression. A, Glu-Cy5 uptake capacity in CD4 + T cells from Eμ- Myc lymphoma-bearing C57BL/6J mice at the indicated timepoints, labeled ex vivo ( n = 5–10 mice). C, Control; E, early; L, late. B, Glu-Cy5 uptake capacity in CD45.2 + CD4 + T cells transferred into normal or Eμ- Myc lymphoma-bearing CD45.1 + congenic mice as in ( n = 5 mice). C, PCA based on untargeted metabolomics of isolated CD4 + T cells from Eμ- Myc lymphoma-bearing C57BL/6J mice at the indicated timepoints ( n = 6–7 mice). D, Heatmap of 59 metabolites that were differentially abundant by ANOVA at the indicated timepoints. E, Levels of select metabolites from glycolysis, glutaminolysis, the TCA cycle, and amino acid metabolism pathways that feed into the TCA cycle; G-6-P, glucose-6-phosphate; DHAP, dihydroxyacetone phosphate; 2/3-PGA, 2/3-phosphoglyceric acid; αKG, alpha-ketoglutarate. Data in A were analyzed by a one-way ANOVA with a Dunnett multiple comparisons; data in B were analyzed by a t test. Metabolomics data were analyzed using PCA and ANOVA in Metaboanalyst. Each dot indicates a biologically independent sample, and all data are mean ± SEM (*, P < 0.05; **, P < 0.01; ***, P < 0.001 in A and B . *, FDR < 0.05 in E ; n.s., not significant).
Article Snippet: The
Techniques: Labeling, Ex Vivo, Control, Isolation