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jc 1 mmp assay kit  (MedChemExpress)


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    MedChemExpress jc 1 mmp assay kit
    Metabolic reprogramming and enhanced mitochondrial function in LPS-activated macrophages in response to LEV Tet−PKM2 @TA treatment. The macrophages were pretreated with 100 ng/mL LPS for 24 h and then treated with PBS (Control), 100 μg/mL LEVs PKM2 , LEVs Tet−PKM2 , or LEVs Tet−PKM2 @TA for another 24 h. ( A ) Heatmap representing differentially detected metabolites involved in glycolysis and the TCA cycle in the Control, LEVs PKM2 , LEVs Tet−PKM2 , or LEVs Tet−PKM2 @TA groups ( n = 4). ( B ) Concentrations of key glycolysis and TCA metabolites in Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( C ) Schematic illustration revealing changes in key glycolysis and TCA metabolites in the LEVs Tet−PKM2 @TA group versus the Control group. The up (down) arrows indicate increased (decreased) levels of metabolites in macrophages. ( D ) Kinetic profile of the ECAR in LPS-activated macrophages in response to sequential injections of glucose, oligomycin, and 2-DG in various groups (Seahorse XF test) ( n = 4). ( E ) Quantification of glycolysis, glycolytic capacity and glycolytic reserve in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( F ) Kinetic profile of the OCR in LPS-activated macrophages in response to sequential injections of oligomycin, FCCP, and Rot/AA in various groups (Seahorse XF test) ( n = 4). ( G ) Quantification of basal respiration, ATP production, and maximal respiration in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( H <t>)</t> <t>JC-1</t> aggregation (red fluorescence) in healthy mitochondria and cytosolic JC-1 monomers in compromised mitochondria (green fluorescence) (immunofluorescence assays). ( I ) Quantitative analysis of MMP levels determined by the relative ratio of red/green fluorescence intensity in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( J ) Intracellular ATP levels of LPS-activated macrophages in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 3). ( K-M ) The macrophages were pretreated with 100 ng/mL LPS for 24 h and then treated with PBS (Control), 10 μM UK-5099, 100 μg/mL LEVs Tet−PKM2 @TA, or 10 μM UK-5099 plus 100 μg/mL LEVs Tet−PKM2 @TA for another 24 h. ( K ) Schematic illustration revealing mechanism of LEVs Tet−PKM2 @TA promotes macrophage metabolic reprogramming depending on pyruvate influx into the TCA cycle. ( L ) Kinetic profile of the OCR in LPS-activated macrophages in response to sequential injections of oligomycin, FCCP, and Rot/AA in various groups (Seahorse XF test) ( n = 3). ( M ) Quantification of basal respiration, ATP production, and maximal respiration in the Control, UK-5099, LEVs Tet−PKM2 @TA, and UK-5099 + LEVs Tet−PKM2 @TA groups ( n = 3). The data are expressed as the mean ± SEM. Statistical analysis was performed with one-way ANOVA ( B , E , G, I, J , and M ). ∗ p < 0.05, ∗∗ p < 0.01, and ∗∗∗ p < 0.001 indicate significant differences between the indicated columns.
    Jc 1 Mmp Assay Kit, supplied by MedChemExpress, used in various techniques. Bioz Stars score: 96/100, based on 388 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Images

    1) Product Images from "Bioengineered extracellular vesicles escape lysosomal degradation and deliver Tet-PKM2 for macrophage immunometabolic reprogramming and periodontitis treatment"

    Article Title: Bioengineered extracellular vesicles escape lysosomal degradation and deliver Tet-PKM2 for macrophage immunometabolic reprogramming and periodontitis treatment

    Journal: Bioactive Materials

    doi: 10.1016/j.bioactmat.2026.01.002

    Metabolic reprogramming and enhanced mitochondrial function in LPS-activated macrophages in response to LEV Tet−PKM2 @TA treatment. The macrophages were pretreated with 100 ng/mL LPS for 24 h and then treated with PBS (Control), 100 μg/mL LEVs PKM2 , LEVs Tet−PKM2 , or LEVs Tet−PKM2 @TA for another 24 h. ( A ) Heatmap representing differentially detected metabolites involved in glycolysis and the TCA cycle in the Control, LEVs PKM2 , LEVs Tet−PKM2 , or LEVs Tet−PKM2 @TA groups ( n = 4). ( B ) Concentrations of key glycolysis and TCA metabolites in Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( C ) Schematic illustration revealing changes in key glycolysis and TCA metabolites in the LEVs Tet−PKM2 @TA group versus the Control group. The up (down) arrows indicate increased (decreased) levels of metabolites in macrophages. ( D ) Kinetic profile of the ECAR in LPS-activated macrophages in response to sequential injections of glucose, oligomycin, and 2-DG in various groups (Seahorse XF test) ( n = 4). ( E ) Quantification of glycolysis, glycolytic capacity and glycolytic reserve in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( F ) Kinetic profile of the OCR in LPS-activated macrophages in response to sequential injections of oligomycin, FCCP, and Rot/AA in various groups (Seahorse XF test) ( n = 4). ( G ) Quantification of basal respiration, ATP production, and maximal respiration in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( H ) JC-1 aggregation (red fluorescence) in healthy mitochondria and cytosolic JC-1 monomers in compromised mitochondria (green fluorescence) (immunofluorescence assays). ( I ) Quantitative analysis of MMP levels determined by the relative ratio of red/green fluorescence intensity in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( J ) Intracellular ATP levels of LPS-activated macrophages in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 3). ( K-M ) The macrophages were pretreated with 100 ng/mL LPS for 24 h and then treated with PBS (Control), 10 μM UK-5099, 100 μg/mL LEVs Tet−PKM2 @TA, or 10 μM UK-5099 plus 100 μg/mL LEVs Tet−PKM2 @TA for another 24 h. ( K ) Schematic illustration revealing mechanism of LEVs Tet−PKM2 @TA promotes macrophage metabolic reprogramming depending on pyruvate influx into the TCA cycle. ( L ) Kinetic profile of the OCR in LPS-activated macrophages in response to sequential injections of oligomycin, FCCP, and Rot/AA in various groups (Seahorse XF test) ( n = 3). ( M ) Quantification of basal respiration, ATP production, and maximal respiration in the Control, UK-5099, LEVs Tet−PKM2 @TA, and UK-5099 + LEVs Tet−PKM2 @TA groups ( n = 3). The data are expressed as the mean ± SEM. Statistical analysis was performed with one-way ANOVA ( B , E , G, I, J , and M ). ∗ p < 0.05, ∗∗ p < 0.01, and ∗∗∗ p < 0.001 indicate significant differences between the indicated columns.
    Figure Legend Snippet: Metabolic reprogramming and enhanced mitochondrial function in LPS-activated macrophages in response to LEV Tet−PKM2 @TA treatment. The macrophages were pretreated with 100 ng/mL LPS for 24 h and then treated with PBS (Control), 100 μg/mL LEVs PKM2 , LEVs Tet−PKM2 , or LEVs Tet−PKM2 @TA for another 24 h. ( A ) Heatmap representing differentially detected metabolites involved in glycolysis and the TCA cycle in the Control, LEVs PKM2 , LEVs Tet−PKM2 , or LEVs Tet−PKM2 @TA groups ( n = 4). ( B ) Concentrations of key glycolysis and TCA metabolites in Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( C ) Schematic illustration revealing changes in key glycolysis and TCA metabolites in the LEVs Tet−PKM2 @TA group versus the Control group. The up (down) arrows indicate increased (decreased) levels of metabolites in macrophages. ( D ) Kinetic profile of the ECAR in LPS-activated macrophages in response to sequential injections of glucose, oligomycin, and 2-DG in various groups (Seahorse XF test) ( n = 4). ( E ) Quantification of glycolysis, glycolytic capacity and glycolytic reserve in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( F ) Kinetic profile of the OCR in LPS-activated macrophages in response to sequential injections of oligomycin, FCCP, and Rot/AA in various groups (Seahorse XF test) ( n = 4). ( G ) Quantification of basal respiration, ATP production, and maximal respiration in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( H ) JC-1 aggregation (red fluorescence) in healthy mitochondria and cytosolic JC-1 monomers in compromised mitochondria (green fluorescence) (immunofluorescence assays). ( I ) Quantitative analysis of MMP levels determined by the relative ratio of red/green fluorescence intensity in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( J ) Intracellular ATP levels of LPS-activated macrophages in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 3). ( K-M ) The macrophages were pretreated with 100 ng/mL LPS for 24 h and then treated with PBS (Control), 10 μM UK-5099, 100 μg/mL LEVs Tet−PKM2 @TA, or 10 μM UK-5099 plus 100 μg/mL LEVs Tet−PKM2 @TA for another 24 h. ( K ) Schematic illustration revealing mechanism of LEVs Tet−PKM2 @TA promotes macrophage metabolic reprogramming depending on pyruvate influx into the TCA cycle. ( L ) Kinetic profile of the OCR in LPS-activated macrophages in response to sequential injections of oligomycin, FCCP, and Rot/AA in various groups (Seahorse XF test) ( n = 3). ( M ) Quantification of basal respiration, ATP production, and maximal respiration in the Control, UK-5099, LEVs Tet−PKM2 @TA, and UK-5099 + LEVs Tet−PKM2 @TA groups ( n = 3). The data are expressed as the mean ± SEM. Statistical analysis was performed with one-way ANOVA ( B , E , G, I, J , and M ). ∗ p < 0.05, ∗∗ p < 0.01, and ∗∗∗ p < 0.001 indicate significant differences between the indicated columns.

    Techniques Used: Control, Fluorescence, Immunofluorescence



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    Metabolic reprogramming and enhanced mitochondrial function in LPS-activated macrophages in response to LEV Tet−PKM2 @TA treatment. The macrophages were pretreated with 100 ng/mL LPS for 24 h and then treated with PBS (Control), 100 μg/mL LEVs PKM2 , LEVs Tet−PKM2 , or LEVs Tet−PKM2 @TA for another 24 h. ( A ) Heatmap representing differentially detected metabolites involved in glycolysis and the TCA cycle in the Control, LEVs PKM2 , LEVs Tet−PKM2 , or LEVs Tet−PKM2 @TA groups ( n = 4). ( B ) Concentrations of key glycolysis and TCA metabolites in Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( C ) Schematic illustration revealing changes in key glycolysis and TCA metabolites in the LEVs Tet−PKM2 @TA group versus the Control group. The up (down) arrows indicate increased (decreased) levels of metabolites in macrophages. ( D ) Kinetic profile of the ECAR in LPS-activated macrophages in response to sequential injections of glucose, oligomycin, and 2-DG in various groups (Seahorse XF test) ( n = 4). ( E ) Quantification of glycolysis, glycolytic capacity and glycolytic reserve in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( F ) Kinetic profile of the OCR in LPS-activated macrophages in response to sequential injections of oligomycin, FCCP, and Rot/AA in various groups (Seahorse XF test) ( n = 4). ( G ) Quantification of basal respiration, ATP production, and maximal respiration in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( H <t>)</t> <t>JC-1</t> aggregation (red fluorescence) in healthy mitochondria and cytosolic JC-1 monomers in compromised mitochondria (green fluorescence) (immunofluorescence assays). ( I ) Quantitative analysis of MMP levels determined by the relative ratio of red/green fluorescence intensity in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( J ) Intracellular ATP levels of LPS-activated macrophages in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 3). ( K-M ) The macrophages were pretreated with 100 ng/mL LPS for 24 h and then treated with PBS (Control), 10 μM UK-5099, 100 μg/mL LEVs Tet−PKM2 @TA, or 10 μM UK-5099 plus 100 μg/mL LEVs Tet−PKM2 @TA for another 24 h. ( K ) Schematic illustration revealing mechanism of LEVs Tet−PKM2 @TA promotes macrophage metabolic reprogramming depending on pyruvate influx into the TCA cycle. ( L ) Kinetic profile of the OCR in LPS-activated macrophages in response to sequential injections of oligomycin, FCCP, and Rot/AA in various groups (Seahorse XF test) ( n = 3). ( M ) Quantification of basal respiration, ATP production, and maximal respiration in the Control, UK-5099, LEVs Tet−PKM2 @TA, and UK-5099 + LEVs Tet−PKM2 @TA groups ( n = 3). The data are expressed as the mean ± SEM. Statistical analysis was performed with one-way ANOVA ( B , E , G, I, J , and M ). ∗ p < 0.05, ∗∗ p < 0.01, and ∗∗∗ p < 0.001 indicate significant differences between the indicated columns.
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    MedChemExpress jc 1 probes
    Metabolic reprogramming and enhanced mitochondrial function in LPS-activated macrophages in response to LEV Tet−PKM2 @TA treatment. The macrophages were pretreated with 100 ng/mL LPS for 24 h and then treated with PBS (Control), 100 μg/mL LEVs PKM2 , LEVs Tet−PKM2 , or LEVs Tet−PKM2 @TA for another 24 h. ( A ) Heatmap representing differentially detected metabolites involved in glycolysis and the TCA cycle in the Control, LEVs PKM2 , LEVs Tet−PKM2 , or LEVs Tet−PKM2 @TA groups ( n = 4). ( B ) Concentrations of key glycolysis and TCA metabolites in Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( C ) Schematic illustration revealing changes in key glycolysis and TCA metabolites in the LEVs Tet−PKM2 @TA group versus the Control group. The up (down) arrows indicate increased (decreased) levels of metabolites in macrophages. ( D ) Kinetic profile of the ECAR in LPS-activated macrophages in response to sequential injections of glucose, oligomycin, and 2-DG in various groups (Seahorse XF test) ( n = 4). ( E ) Quantification of glycolysis, glycolytic capacity and glycolytic reserve in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( F ) Kinetic profile of the OCR in LPS-activated macrophages in response to sequential injections of oligomycin, FCCP, and Rot/AA in various groups (Seahorse XF test) ( n = 4). ( G ) Quantification of basal respiration, ATP production, and maximal respiration in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( H <t>)</t> <t>JC-1</t> aggregation (red fluorescence) in healthy mitochondria and cytosolic JC-1 monomers in compromised mitochondria (green fluorescence) (immunofluorescence assays). ( I ) Quantitative analysis of MMP levels determined by the relative ratio of red/green fluorescence intensity in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( J ) Intracellular ATP levels of LPS-activated macrophages in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 3). ( K-M ) The macrophages were pretreated with 100 ng/mL LPS for 24 h and then treated with PBS (Control), 10 μM UK-5099, 100 μg/mL LEVs Tet−PKM2 @TA, or 10 μM UK-5099 plus 100 μg/mL LEVs Tet−PKM2 @TA for another 24 h. ( K ) Schematic illustration revealing mechanism of LEVs Tet−PKM2 @TA promotes macrophage metabolic reprogramming depending on pyruvate influx into the TCA cycle. ( L ) Kinetic profile of the OCR in LPS-activated macrophages in response to sequential injections of oligomycin, FCCP, and Rot/AA in various groups (Seahorse XF test) ( n = 3). ( M ) Quantification of basal respiration, ATP production, and maximal respiration in the Control, UK-5099, LEVs Tet−PKM2 @TA, and UK-5099 + LEVs Tet−PKM2 @TA groups ( n = 3). The data are expressed as the mean ± SEM. Statistical analysis was performed with one-way ANOVA ( B , E , G, I, J , and M ). ∗ p < 0.05, ∗∗ p < 0.01, and ∗∗∗ p < 0.001 indicate significant differences between the indicated columns.
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    MedChemExpress jc 1 working solution
    Metabolic reprogramming and enhanced mitochondrial function in LPS-activated macrophages in response to LEV Tet−PKM2 @TA treatment. The macrophages were pretreated with 100 ng/mL LPS for 24 h and then treated with PBS (Control), 100 μg/mL LEVs PKM2 , LEVs Tet−PKM2 , or LEVs Tet−PKM2 @TA for another 24 h. ( A ) Heatmap representing differentially detected metabolites involved in glycolysis and the TCA cycle in the Control, LEVs PKM2 , LEVs Tet−PKM2 , or LEVs Tet−PKM2 @TA groups ( n = 4). ( B ) Concentrations of key glycolysis and TCA metabolites in Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( C ) Schematic illustration revealing changes in key glycolysis and TCA metabolites in the LEVs Tet−PKM2 @TA group versus the Control group. The up (down) arrows indicate increased (decreased) levels of metabolites in macrophages. ( D ) Kinetic profile of the ECAR in LPS-activated macrophages in response to sequential injections of glucose, oligomycin, and 2-DG in various groups (Seahorse XF test) ( n = 4). ( E ) Quantification of glycolysis, glycolytic capacity and glycolytic reserve in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( F ) Kinetic profile of the OCR in LPS-activated macrophages in response to sequential injections of oligomycin, FCCP, and Rot/AA in various groups (Seahorse XF test) ( n = 4). ( G ) Quantification of basal respiration, ATP production, and maximal respiration in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( H <t>)</t> <t>JC-1</t> aggregation (red fluorescence) in healthy mitochondria and cytosolic JC-1 monomers in compromised mitochondria (green fluorescence) (immunofluorescence assays). ( I ) Quantitative analysis of MMP levels determined by the relative ratio of red/green fluorescence intensity in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( J ) Intracellular ATP levels of LPS-activated macrophages in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 3). ( K-M ) The macrophages were pretreated with 100 ng/mL LPS for 24 h and then treated with PBS (Control), 10 μM UK-5099, 100 μg/mL LEVs Tet−PKM2 @TA, or 10 μM UK-5099 plus 100 μg/mL LEVs Tet−PKM2 @TA for another 24 h. ( K ) Schematic illustration revealing mechanism of LEVs Tet−PKM2 @TA promotes macrophage metabolic reprogramming depending on pyruvate influx into the TCA cycle. ( L ) Kinetic profile of the OCR in LPS-activated macrophages in response to sequential injections of oligomycin, FCCP, and Rot/AA in various groups (Seahorse XF test) ( n = 3). ( M ) Quantification of basal respiration, ATP production, and maximal respiration in the Control, UK-5099, LEVs Tet−PKM2 @TA, and UK-5099 + LEVs Tet−PKM2 @TA groups ( n = 3). The data are expressed as the mean ± SEM. Statistical analysis was performed with one-way ANOVA ( B , E , G, I, J , and M ). ∗ p < 0.05, ∗∗ p < 0.01, and ∗∗∗ p < 0.001 indicate significant differences between the indicated columns.
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    MedChemExpress jc 1 detection kit
    VDAC2 induces ferroptosis via mitochondrial damage A . GO enrichment analysis of genes differentially expressed between VDAC2-overexpressing cells and parental cells (RNA-seq, n = 3). B . KEGG pathway enrichment analysis of differentially expressed genes in VDAC2-overexpressing versus parental cells. C . Heatmap of VDAC2 expression and ferroptosis-related genes in 6 clinical GBM samples. D . Pearson correlation analysis between VDAC2 and ACSL4/SLC7A11 expression in the TCGA database. E . Viability assessment of live and dead cells under different treatment conditions ( n = 5). Scale bar = 20 μm. F . Flow cytometric quantification of oxidized versus nonoxidized lipid ratios ( n = 5). G . Measurement of intracellular lipid ROS levels by flow cytometry ( n = 5). H . Immunofluorescence imaging of lipid peroxidation using C11-BODIPY probe staining. Scale bar = 10 μm. I . Assessment of changes in the mitochondrial membrane potential (Δψm) <t>via</t> <t>JC-1</t> probe staining. Scale bar = 10 μm. J . Visualization of mitochondrial lipid peroxidation using MitoPeDPP probe staining. K . Detection of mitochondrial ROS by MitoSOX probe staining. Scale bar = 10 μm. L . Transmission electron microscopy images of cells under different treatments (red arrows indicate mitochondria). M . Tumor volume measurements and H&E staining in orthotopic xenograft models ( n = 8 animals per group). N . Quantitative analysis of tumor growth by fluorescence intensity and volume measurement ( n = 8). O . Survival curves of nude mice bearing tumors derived from parental or VDAC2-overexpressing cells ( n = 8 per group). P . Immunohistochemical (IHC) analysis and quantitative scoring of VDAC2 and 4-HNE expression in tumor tissues ( n = 3). Scale bar = 50 μm. P values were calculated using two-tailed t tests (E, F, G, N and P) and the log-rank Mantel‒Cox test (O). The data are presented as the means ± SDs
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    Metabolic reprogramming and enhanced mitochondrial function in LPS-activated macrophages in response to LEV Tet−PKM2 @TA treatment. The macrophages were pretreated with 100 ng/mL LPS for 24 h and then treated with PBS (Control), 100 μg/mL LEVs PKM2 , LEVs Tet−PKM2 , or LEVs Tet−PKM2 @TA for another 24 h. ( A ) Heatmap representing differentially detected metabolites involved in glycolysis and the TCA cycle in the Control, LEVs PKM2 , LEVs Tet−PKM2 , or LEVs Tet−PKM2 @TA groups ( n = 4). ( B ) Concentrations of key glycolysis and TCA metabolites in Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( C ) Schematic illustration revealing changes in key glycolysis and TCA metabolites in the LEVs Tet−PKM2 @TA group versus the Control group. The up (down) arrows indicate increased (decreased) levels of metabolites in macrophages. ( D ) Kinetic profile of the ECAR in LPS-activated macrophages in response to sequential injections of glucose, oligomycin, and 2-DG in various groups (Seahorse XF test) ( n = 4). ( E ) Quantification of glycolysis, glycolytic capacity and glycolytic reserve in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( F ) Kinetic profile of the OCR in LPS-activated macrophages in response to sequential injections of oligomycin, FCCP, and Rot/AA in various groups (Seahorse XF test) ( n = 4). ( G ) Quantification of basal respiration, ATP production, and maximal respiration in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( H ) JC-1 aggregation (red fluorescence) in healthy mitochondria and cytosolic JC-1 monomers in compromised mitochondria (green fluorescence) (immunofluorescence assays). ( I ) Quantitative analysis of MMP levels determined by the relative ratio of red/green fluorescence intensity in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( J ) Intracellular ATP levels of LPS-activated macrophages in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 3). ( K-M ) The macrophages were pretreated with 100 ng/mL LPS for 24 h and then treated with PBS (Control), 10 μM UK-5099, 100 μg/mL LEVs Tet−PKM2 @TA, or 10 μM UK-5099 plus 100 μg/mL LEVs Tet−PKM2 @TA for another 24 h. ( K ) Schematic illustration revealing mechanism of LEVs Tet−PKM2 @TA promotes macrophage metabolic reprogramming depending on pyruvate influx into the TCA cycle. ( L ) Kinetic profile of the OCR in LPS-activated macrophages in response to sequential injections of oligomycin, FCCP, and Rot/AA in various groups (Seahorse XF test) ( n = 3). ( M ) Quantification of basal respiration, ATP production, and maximal respiration in the Control, UK-5099, LEVs Tet−PKM2 @TA, and UK-5099 + LEVs Tet−PKM2 @TA groups ( n = 3). The data are expressed as the mean ± SEM. Statistical analysis was performed with one-way ANOVA ( B , E , G, I, J , and M ). ∗ p < 0.05, ∗∗ p < 0.01, and ∗∗∗ p < 0.001 indicate significant differences between the indicated columns.

    Journal: Bioactive Materials

    Article Title: Bioengineered extracellular vesicles escape lysosomal degradation and deliver Tet-PKM2 for macrophage immunometabolic reprogramming and periodontitis treatment

    doi: 10.1016/j.bioactmat.2026.01.002

    Figure Lengend Snippet: Metabolic reprogramming and enhanced mitochondrial function in LPS-activated macrophages in response to LEV Tet−PKM2 @TA treatment. The macrophages were pretreated with 100 ng/mL LPS for 24 h and then treated with PBS (Control), 100 μg/mL LEVs PKM2 , LEVs Tet−PKM2 , or LEVs Tet−PKM2 @TA for another 24 h. ( A ) Heatmap representing differentially detected metabolites involved in glycolysis and the TCA cycle in the Control, LEVs PKM2 , LEVs Tet−PKM2 , or LEVs Tet−PKM2 @TA groups ( n = 4). ( B ) Concentrations of key glycolysis and TCA metabolites in Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( C ) Schematic illustration revealing changes in key glycolysis and TCA metabolites in the LEVs Tet−PKM2 @TA group versus the Control group. The up (down) arrows indicate increased (decreased) levels of metabolites in macrophages. ( D ) Kinetic profile of the ECAR in LPS-activated macrophages in response to sequential injections of glucose, oligomycin, and 2-DG in various groups (Seahorse XF test) ( n = 4). ( E ) Quantification of glycolysis, glycolytic capacity and glycolytic reserve in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( F ) Kinetic profile of the OCR in LPS-activated macrophages in response to sequential injections of oligomycin, FCCP, and Rot/AA in various groups (Seahorse XF test) ( n = 4). ( G ) Quantification of basal respiration, ATP production, and maximal respiration in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( H ) JC-1 aggregation (red fluorescence) in healthy mitochondria and cytosolic JC-1 monomers in compromised mitochondria (green fluorescence) (immunofluorescence assays). ( I ) Quantitative analysis of MMP levels determined by the relative ratio of red/green fluorescence intensity in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 4). ( J ) Intracellular ATP levels of LPS-activated macrophages in the Control, LEVs PKM2 , LEVs Tet−PKM2 , and LEVs Tet−PKM2 @TA groups ( n = 3). ( K-M ) The macrophages were pretreated with 100 ng/mL LPS for 24 h and then treated with PBS (Control), 10 μM UK-5099, 100 μg/mL LEVs Tet−PKM2 @TA, or 10 μM UK-5099 plus 100 μg/mL LEVs Tet−PKM2 @TA for another 24 h. ( K ) Schematic illustration revealing mechanism of LEVs Tet−PKM2 @TA promotes macrophage metabolic reprogramming depending on pyruvate influx into the TCA cycle. ( L ) Kinetic profile of the OCR in LPS-activated macrophages in response to sequential injections of oligomycin, FCCP, and Rot/AA in various groups (Seahorse XF test) ( n = 3). ( M ) Quantification of basal respiration, ATP production, and maximal respiration in the Control, UK-5099, LEVs Tet−PKM2 @TA, and UK-5099 + LEVs Tet−PKM2 @TA groups ( n = 3). The data are expressed as the mean ± SEM. Statistical analysis was performed with one-way ANOVA ( B , E , G, I, J , and M ). ∗ p < 0.05, ∗∗ p < 0.01, and ∗∗∗ p < 0.001 indicate significant differences between the indicated columns.

    Article Snippet: The MMP of the macrophages was assessed using a JC-1 MMP Assay Kit (MCE).

    Techniques: Control, Fluorescence, Immunofluorescence

    VDAC2 induces ferroptosis via mitochondrial damage A . GO enrichment analysis of genes differentially expressed between VDAC2-overexpressing cells and parental cells (RNA-seq, n = 3). B . KEGG pathway enrichment analysis of differentially expressed genes in VDAC2-overexpressing versus parental cells. C . Heatmap of VDAC2 expression and ferroptosis-related genes in 6 clinical GBM samples. D . Pearson correlation analysis between VDAC2 and ACSL4/SLC7A11 expression in the TCGA database. E . Viability assessment of live and dead cells under different treatment conditions ( n = 5). Scale bar = 20 μm. F . Flow cytometric quantification of oxidized versus nonoxidized lipid ratios ( n = 5). G . Measurement of intracellular lipid ROS levels by flow cytometry ( n = 5). H . Immunofluorescence imaging of lipid peroxidation using C11-BODIPY probe staining. Scale bar = 10 μm. I . Assessment of changes in the mitochondrial membrane potential (Δψm) via JC-1 probe staining. Scale bar = 10 μm. J . Visualization of mitochondrial lipid peroxidation using MitoPeDPP probe staining. K . Detection of mitochondrial ROS by MitoSOX probe staining. Scale bar = 10 μm. L . Transmission electron microscopy images of cells under different treatments (red arrows indicate mitochondria). M . Tumor volume measurements and H&E staining in orthotopic xenograft models ( n = 8 animals per group). N . Quantitative analysis of tumor growth by fluorescence intensity and volume measurement ( n = 8). O . Survival curves of nude mice bearing tumors derived from parental or VDAC2-overexpressing cells ( n = 8 per group). P . Immunohistochemical (IHC) analysis and quantitative scoring of VDAC2 and 4-HNE expression in tumor tissues ( n = 3). Scale bar = 50 μm. P values were calculated using two-tailed t tests (E, F, G, N and P) and the log-rank Mantel‒Cox test (O). The data are presented as the means ± SDs

    Journal: Journal of Nanobiotechnology

    Article Title: Targeting TRIM25 as a therapeutic strategy to enhance ferroptosis in glioblastoma cells

    doi: 10.1186/s12951-025-03908-8

    Figure Lengend Snippet: VDAC2 induces ferroptosis via mitochondrial damage A . GO enrichment analysis of genes differentially expressed between VDAC2-overexpressing cells and parental cells (RNA-seq, n = 3). B . KEGG pathway enrichment analysis of differentially expressed genes in VDAC2-overexpressing versus parental cells. C . Heatmap of VDAC2 expression and ferroptosis-related genes in 6 clinical GBM samples. D . Pearson correlation analysis between VDAC2 and ACSL4/SLC7A11 expression in the TCGA database. E . Viability assessment of live and dead cells under different treatment conditions ( n = 5). Scale bar = 20 μm. F . Flow cytometric quantification of oxidized versus nonoxidized lipid ratios ( n = 5). G . Measurement of intracellular lipid ROS levels by flow cytometry ( n = 5). H . Immunofluorescence imaging of lipid peroxidation using C11-BODIPY probe staining. Scale bar = 10 μm. I . Assessment of changes in the mitochondrial membrane potential (Δψm) via JC-1 probe staining. Scale bar = 10 μm. J . Visualization of mitochondrial lipid peroxidation using MitoPeDPP probe staining. K . Detection of mitochondrial ROS by MitoSOX probe staining. Scale bar = 10 μm. L . Transmission electron microscopy images of cells under different treatments (red arrows indicate mitochondria). M . Tumor volume measurements and H&E staining in orthotopic xenograft models ( n = 8 animals per group). N . Quantitative analysis of tumor growth by fluorescence intensity and volume measurement ( n = 8). O . Survival curves of nude mice bearing tumors derived from parental or VDAC2-overexpressing cells ( n = 8 per group). P . Immunohistochemical (IHC) analysis and quantitative scoring of VDAC2 and 4-HNE expression in tumor tissues ( n = 3). Scale bar = 50 μm. P values were calculated using two-tailed t tests (E, F, G, N and P) and the log-rank Mantel‒Cox test (O). The data are presented as the means ± SDs

    Article Snippet: Cells subjected to different treatments were seeded in 6-well plates and stained using a JC-1 detection kit (MCE, USA; HY15534) according to the manufacturer’s protocol.

    Techniques: RNA Sequencing, Expressing, Flow Cytometry, Immunofluorescence, Imaging, Staining, Membrane, Transmission Assay, Electron Microscopy, Fluorescence, Derivative Assay, Immunohistochemical staining, Two Tailed Test

    TRIM25 knockout enhances ferroptosis sensitivity in LN229 cells in vitro and in vivo A . Correlations between TRIM25 expression levels and survival duration in glioma patients across the CGGA, TCGA, and Rembrandt databases. B . Representative immunohistochemical (IHC) staining images of TRIM25 and 4-HNE in recurrent versus nonrecurrent patients from a 180-case clinical tissue microarray cohort. Scale bar = 50 μm. C . Kaplan‒Meier survival analysis evaluating the prognostic significance of TRIM25 expression in glioma patients. D . GO enrichment analysis of differentially expressed genes between TRIM25-knockout and parental cells (RNA-seq, n = 3). E . Gene set enrichment analysis (GSEA) of the ferroptosis pathway. F . Viability assessment of live versus dead cells under different treatment conditions ( n = 5). Scale bar = 20 μm. G . Flow cytometric measurement of intracellular lipid ROS levels ( n = 5). H . Quantitative analysis of oxidized-to-nonoxidized-lipid ratios by flow cytometry ( n = 5). I . Immunofluorescence visualization of lipid peroxidation using C11-BODIPY probe staining. Scale bar = 10 μm. J . Assessment of changes in the mitochondrial membrane potential (Δψm) via JC-1 probe staining. Scale bar = 20 μm. K . Detection of mitochondrial lipid peroxidation using MitoPeDPP probe staining. Scale bar = 10 μm. L . Measurement of mitochondrial ROS by MitoSOX probe staining. Scale bar = 10 μm. M . Tumor volume measurements and H&E staining in orthotopic xenograft models ( n = 8 animals per group). N . Quantitative analysis of tumor growth by fluorescence intensity and volumetric measurements ( n = 8). O . Survival curves of nude mice bearing tumors derived from parental cells, TRIM25 single-knockout cells, or TRIM25/VDAC2 double-knockout cells ( n = 8 animals per group). P . IHC analysis and quantitative scoring of TRIM25, VDAC2, 4-HNE, and ACSL4 expression in tumor tissues ( n = 3). Scale bar = 50 μm. P values were calculated using two-tailed t tests (F, G, H, N and P), the log-rank Mantel‒Cox test (O) and the log-rank test, with adjustments for confounding factors via Cox regression (C). The data are presented as the means ± SDs

    Journal: Journal of Nanobiotechnology

    Article Title: Targeting TRIM25 as a therapeutic strategy to enhance ferroptosis in glioblastoma cells

    doi: 10.1186/s12951-025-03908-8

    Figure Lengend Snippet: TRIM25 knockout enhances ferroptosis sensitivity in LN229 cells in vitro and in vivo A . Correlations between TRIM25 expression levels and survival duration in glioma patients across the CGGA, TCGA, and Rembrandt databases. B . Representative immunohistochemical (IHC) staining images of TRIM25 and 4-HNE in recurrent versus nonrecurrent patients from a 180-case clinical tissue microarray cohort. Scale bar = 50 μm. C . Kaplan‒Meier survival analysis evaluating the prognostic significance of TRIM25 expression in glioma patients. D . GO enrichment analysis of differentially expressed genes between TRIM25-knockout and parental cells (RNA-seq, n = 3). E . Gene set enrichment analysis (GSEA) of the ferroptosis pathway. F . Viability assessment of live versus dead cells under different treatment conditions ( n = 5). Scale bar = 20 μm. G . Flow cytometric measurement of intracellular lipid ROS levels ( n = 5). H . Quantitative analysis of oxidized-to-nonoxidized-lipid ratios by flow cytometry ( n = 5). I . Immunofluorescence visualization of lipid peroxidation using C11-BODIPY probe staining. Scale bar = 10 μm. J . Assessment of changes in the mitochondrial membrane potential (Δψm) via JC-1 probe staining. Scale bar = 20 μm. K . Detection of mitochondrial lipid peroxidation using MitoPeDPP probe staining. Scale bar = 10 μm. L . Measurement of mitochondrial ROS by MitoSOX probe staining. Scale bar = 10 μm. M . Tumor volume measurements and H&E staining in orthotopic xenograft models ( n = 8 animals per group). N . Quantitative analysis of tumor growth by fluorescence intensity and volumetric measurements ( n = 8). O . Survival curves of nude mice bearing tumors derived from parental cells, TRIM25 single-knockout cells, or TRIM25/VDAC2 double-knockout cells ( n = 8 animals per group). P . IHC analysis and quantitative scoring of TRIM25, VDAC2, 4-HNE, and ACSL4 expression in tumor tissues ( n = 3). Scale bar = 50 μm. P values were calculated using two-tailed t tests (F, G, H, N and P), the log-rank Mantel‒Cox test (O) and the log-rank test, with adjustments for confounding factors via Cox regression (C). The data are presented as the means ± SDs

    Article Snippet: Cells subjected to different treatments were seeded in 6-well plates and stained using a JC-1 detection kit (MCE, USA; HY15534) according to the manufacturer’s protocol.

    Techniques: Knock-Out, In Vitro, In Vivo, Expressing, Immunohistochemical staining, Immunohistochemistry, Microarray, RNA Sequencing, Flow Cytometry, Immunofluorescence, Staining, Membrane, Fluorescence, Derivative Assay, Double Knockout, Two Tailed Test

    Construction and in vitro evaluation of ANP SS (sgTRIM25) A . Schematic of disulfide-crosslinked nanoparticles encapsulating Cas9/sgRNA complexes synthesized via in situ radical polymerization, followed by Angiopep-2 (Ang) functionalization to generate ANP-conjugated ANP SS (sgTRIM25). B . Dynamic light scattering (DLS) analysis showing the particle size distribution of ANP SS (sgTRIM25). C . Zeta potential measurement of ANP SS (sgTRIM25) nanoparticles ( n = 3). D . Fluorescence spectra confirming sulfo-cyanine5.5 (Cy5.5) labeling of ANP SS (sgTRIM25). E . Transmission electron microscopy (TEM) images demonstrating morphological changes in ANP SS (sgTRIM25) in saline with/without GSH. F . Agarose gel electrophoresis showing TRIM25 cleavage patterns by T7 endonuclease I (T7E1) under different treatment conditions. G . Schematic illustration of the genome editing mechanism of ANP SS (sgTRIM25). H . Sanger sequencing analysis identifying precise TRIM25 gene editing sites following ANP SS (sgTRIM25) treatment. I . Immunofluorescence comparison of cellular targeting efficiency between NP SS (sgTRIM25) and ANP SS (sgTRIM25). Scale bar = 10 μm. J . Live/dead cell viability assay after ANP SS (sgTRIM25) treatment ( n = 5). Scale bar = 20 μm. K . Flow cytometric quantification of intracellular lipid ROS levels ( n = 5). L. Flow cytometric analysis of oxidized vs. nonoxidized lipid ratios ( n = 5). M . Immunofluorescence visualization of lipid peroxidation via C11-BODIPY probe staining. Scale bar = 10 μm. N . Assessment of mitochondrial membrane potential (Δψm) changes using JC-1 probe staining. Scale bar = 10 μm. O . Mitochondrial lipid peroxidation was detected through MitoPeDPP probe staining. P . Measurement of mitochondrial reactive oxygen species via MitoSOX probe staining. P values were calculated using two-tailed t tests (J, K and L). The data are presented as the means ± SDs

    Journal: Journal of Nanobiotechnology

    Article Title: Targeting TRIM25 as a therapeutic strategy to enhance ferroptosis in glioblastoma cells

    doi: 10.1186/s12951-025-03908-8

    Figure Lengend Snippet: Construction and in vitro evaluation of ANP SS (sgTRIM25) A . Schematic of disulfide-crosslinked nanoparticles encapsulating Cas9/sgRNA complexes synthesized via in situ radical polymerization, followed by Angiopep-2 (Ang) functionalization to generate ANP-conjugated ANP SS (sgTRIM25). B . Dynamic light scattering (DLS) analysis showing the particle size distribution of ANP SS (sgTRIM25). C . Zeta potential measurement of ANP SS (sgTRIM25) nanoparticles ( n = 3). D . Fluorescence spectra confirming sulfo-cyanine5.5 (Cy5.5) labeling of ANP SS (sgTRIM25). E . Transmission electron microscopy (TEM) images demonstrating morphological changes in ANP SS (sgTRIM25) in saline with/without GSH. F . Agarose gel electrophoresis showing TRIM25 cleavage patterns by T7 endonuclease I (T7E1) under different treatment conditions. G . Schematic illustration of the genome editing mechanism of ANP SS (sgTRIM25). H . Sanger sequencing analysis identifying precise TRIM25 gene editing sites following ANP SS (sgTRIM25) treatment. I . Immunofluorescence comparison of cellular targeting efficiency between NP SS (sgTRIM25) and ANP SS (sgTRIM25). Scale bar = 10 μm. J . Live/dead cell viability assay after ANP SS (sgTRIM25) treatment ( n = 5). Scale bar = 20 μm. K . Flow cytometric quantification of intracellular lipid ROS levels ( n = 5). L. Flow cytometric analysis of oxidized vs. nonoxidized lipid ratios ( n = 5). M . Immunofluorescence visualization of lipid peroxidation via C11-BODIPY probe staining. Scale bar = 10 μm. N . Assessment of mitochondrial membrane potential (Δψm) changes using JC-1 probe staining. Scale bar = 10 μm. O . Mitochondrial lipid peroxidation was detected through MitoPeDPP probe staining. P . Measurement of mitochondrial reactive oxygen species via MitoSOX probe staining. P values were calculated using two-tailed t tests (J, K and L). The data are presented as the means ± SDs

    Article Snippet: Cells subjected to different treatments were seeded in 6-well plates and stained using a JC-1 detection kit (MCE, USA; HY15534) according to the manufacturer’s protocol.

    Techniques: In Vitro, Synthesized, In Situ, Zeta Potential Analyzer, Fluorescence, Labeling, Transmission Assay, Electron Microscopy, Saline, Agarose Gel Electrophoresis, Sequencing, Immunofluorescence, Comparison, Viability Assay, Staining, Membrane, Two Tailed Test