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β actin 13e5 rabbit mab  (Cell Signaling Technology Inc)


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    Structured Review

    Cell Signaling Technology Inc β actin 13e5 rabbit mab
    TAPC interacts with VEGFR2 and modulates downstream signaling. (a) Cell viability assay of MC38 cells treated with increasing concentrations of TAPC. (b) Immunoblot analysis of VEGFR2 and key regulators of the PI3K–AKT signaling pathway (PI3K, AKT, and STAT3) in MC38 cells treated with PEG-PO or TAPC (5 and 10 μM). <t>β-Actin</t> was used as a loading control. (c) Pull-down assay of VEGFR2 from MC38 cell lysates using biotinylated TAPC, beads-only sample served as control. (d) Confocal IF imaging of MC38 cells incubated with Cy5.5-labeled TAPC and stained for VEGFR2, nuclei counterstained with DAPI. Scale bars: 20 μm. (e) BLI analysis of TAPC binding to recombinant VEGFR2 using serial concentrations (100, 66.7, 44.4, 29.6, 19.8, 13.2, and 8.8 μM). (f) Molecular dynamics simulations showing predicted protein–ligand complexes (top) and binding pocket visualizations (bottom) of VEGFR2 with TAPC, NDMPFI, MBAMF, and TPFE. (g) Binding free energy calculations of these complexes, including van der Waals, electrostatic, solvation, and total energy components. (h) Extracellular acidification rate (ECAR) of MC38 cells treated with control (0 μM), TAPC (2.5 μM), or TAPC (10 μM), with sequential addition of glucose, oligomycin, and 2-deoxyglucose (2-DG). (i) Quantification of glycolysis and glycolytic capacity in MC38 cells treated with control (0 μM), TAPC (2.5 μM), or TAPC (10 μM) (n = 8). Data are presented as mean ± SEM. Statistical significance was assessed using one-way ANOVA with Tukey's multiple comparisons test; ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001.
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    Images

    1) Product Images from "Aminated fullerene-based nanoplatform enables synergistic VEGFR2-targeted anti-angiogenesis and tumor immunotherapy"

    Article Title: Aminated fullerene-based nanoplatform enables synergistic VEGFR2-targeted anti-angiogenesis and tumor immunotherapy

    Journal: Bioactive Materials

    doi: 10.1016/j.bioactmat.2026.03.016

    TAPC interacts with VEGFR2 and modulates downstream signaling. (a) Cell viability assay of MC38 cells treated with increasing concentrations of TAPC. (b) Immunoblot analysis of VEGFR2 and key regulators of the PI3K–AKT signaling pathway (PI3K, AKT, and STAT3) in MC38 cells treated with PEG-PO or TAPC (5 and 10 μM). β-Actin was used as a loading control. (c) Pull-down assay of VEGFR2 from MC38 cell lysates using biotinylated TAPC, beads-only sample served as control. (d) Confocal IF imaging of MC38 cells incubated with Cy5.5-labeled TAPC and stained for VEGFR2, nuclei counterstained with DAPI. Scale bars: 20 μm. (e) BLI analysis of TAPC binding to recombinant VEGFR2 using serial concentrations (100, 66.7, 44.4, 29.6, 19.8, 13.2, and 8.8 μM). (f) Molecular dynamics simulations showing predicted protein–ligand complexes (top) and binding pocket visualizations (bottom) of VEGFR2 with TAPC, NDMPFI, MBAMF, and TPFE. (g) Binding free energy calculations of these complexes, including van der Waals, electrostatic, solvation, and total energy components. (h) Extracellular acidification rate (ECAR) of MC38 cells treated with control (0 μM), TAPC (2.5 μM), or TAPC (10 μM), with sequential addition of glucose, oligomycin, and 2-deoxyglucose (2-DG). (i) Quantification of glycolysis and glycolytic capacity in MC38 cells treated with control (0 μM), TAPC (2.5 μM), or TAPC (10 μM) (n = 8). Data are presented as mean ± SEM. Statistical significance was assessed using one-way ANOVA with Tukey's multiple comparisons test; ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001.
    Figure Legend Snippet: TAPC interacts with VEGFR2 and modulates downstream signaling. (a) Cell viability assay of MC38 cells treated with increasing concentrations of TAPC. (b) Immunoblot analysis of VEGFR2 and key regulators of the PI3K–AKT signaling pathway (PI3K, AKT, and STAT3) in MC38 cells treated with PEG-PO or TAPC (5 and 10 μM). β-Actin was used as a loading control. (c) Pull-down assay of VEGFR2 from MC38 cell lysates using biotinylated TAPC, beads-only sample served as control. (d) Confocal IF imaging of MC38 cells incubated with Cy5.5-labeled TAPC and stained for VEGFR2, nuclei counterstained with DAPI. Scale bars: 20 μm. (e) BLI analysis of TAPC binding to recombinant VEGFR2 using serial concentrations (100, 66.7, 44.4, 29.6, 19.8, 13.2, and 8.8 μM). (f) Molecular dynamics simulations showing predicted protein–ligand complexes (top) and binding pocket visualizations (bottom) of VEGFR2 with TAPC, NDMPFI, MBAMF, and TPFE. (g) Binding free energy calculations of these complexes, including van der Waals, electrostatic, solvation, and total energy components. (h) Extracellular acidification rate (ECAR) of MC38 cells treated with control (0 μM), TAPC (2.5 μM), or TAPC (10 μM), with sequential addition of glucose, oligomycin, and 2-deoxyglucose (2-DG). (i) Quantification of glycolysis and glycolytic capacity in MC38 cells treated with control (0 μM), TAPC (2.5 μM), or TAPC (10 μM) (n = 8). Data are presented as mean ± SEM. Statistical significance was assessed using one-way ANOVA with Tukey's multiple comparisons test; ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001.

    Techniques Used: Viability Assay, Western Blot, Control, Pull Down Assay, Imaging, Incubation, Labeling, Staining, Binding Assay, Recombinant

    In vivo anti-tumor and anti-angiogenic effects of TAPC@CNPs. (a) Schematic illustration of the therapeutic study in Balb/c mice bearing subcutaneous MC38 tumors (n = 7). (b) Body weights of mice during treatment. (c) Photographs of excised tumors collected at endpoint. (d) Tumor growth curves during treatment. Tumor volume was calculated using the formula (length × width 2 )/2. (e) Tumor weights measured at endpoint. (f) Immunoblot analysis of VEGFR2 expression in tumor lysates from different treatment groups, β-actin was used as a reference protein. (g) IHC staining of CD31 in tumor sections from different treatment groups. Scale bar, 100 μm. (h) H&E staining of major organs (heart, liver, spleen, lung, kidney) and tumor tissues. (i) Serum ALT and AST levels measured at endpoint. Data are presented as mean ± SEM. Statistical analysis was performed by one-way ANOVA with Tukey's multiple comparisons test, ns indicates not significant, ∗p < 0.05, ∗∗p < 0.01, ∗∗∗∗p < 0.0001.
    Figure Legend Snippet: In vivo anti-tumor and anti-angiogenic effects of TAPC@CNPs. (a) Schematic illustration of the therapeutic study in Balb/c mice bearing subcutaneous MC38 tumors (n = 7). (b) Body weights of mice during treatment. (c) Photographs of excised tumors collected at endpoint. (d) Tumor growth curves during treatment. Tumor volume was calculated using the formula (length × width 2 )/2. (e) Tumor weights measured at endpoint. (f) Immunoblot analysis of VEGFR2 expression in tumor lysates from different treatment groups, β-actin was used as a reference protein. (g) IHC staining of CD31 in tumor sections from different treatment groups. Scale bar, 100 μm. (h) H&E staining of major organs (heart, liver, spleen, lung, kidney) and tumor tissues. (i) Serum ALT and AST levels measured at endpoint. Data are presented as mean ± SEM. Statistical analysis was performed by one-way ANOVA with Tukey's multiple comparisons test, ns indicates not significant, ∗p < 0.05, ∗∗p < 0.01, ∗∗∗∗p < 0.0001.

    Techniques Used: In Vivo, Western Blot, Expressing, Immunohistochemistry, Staining



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    Image Search Results


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    Journal: Bioactive Materials

    Article Title: Targeting VEGFR2 inhibition within a spatially-confined conduit promotes nerve self-resolution and alleviates mechanical allodynia

    doi: 10.1016/j.bioactmat.2026.03.009

    Figure Lengend Snippet: Efficacy of GelMA MAVP MPs in promoting nerve end interface self-resolution. ( A ) Schematic of the peripheral sciatic nerve ligation (p-SNL) model with four experimental groups (i.e., MAVP, VAN, vehicle, and control) ( B ) Immunofluorescence (IF) staining of p-VEGFR2 and YAP (indicating mechanotransduction signaling). ( C ) The positive area percentage of p-VEGFR2 (n = 6). ( D ) Percentage of YAP in nuclear/cytoplasm (n = 6). ( E ) IF staining of proliferation signal (Ki-67) and vessel signal (CD31) for p-SNL animal. ( F ) Quantification of Ki-67/CD31 co-localization area percentage (n = 6). ( G ) IF co-staining of Ki-67 and macrophage marker F4/80. ( H ) Quantification of Ki-67/F4/80 co-localization area percentage (n = 6). ( I ) IF staining of scar marker α-SMA. ( J ) Quantification of α-SMA-positive area percentage (n = 6). Mean values are shown and error bars represent ± s.d., as analyzed by one-way ANOVA followed by the Tukey-Kramer test in ( C , D , F , H and J ). Biological replicates were used for all experiments. ns, p > 0.05, ∗p < 0.05, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001.

    Article Snippet: The following primary antibodies were used for the subsequent steps: anti-Yap (mouse, 1:200, Santa sc-376830); anti-p-VEGFR2 (rabbit, 1:100 Invitrogen, PA5-105765); α-SMA (rabbit, 1:200, Proteintech 14395-1-AP); Reca-1 (mouse, 1:200, Santa sc-52665); anti-CD31 (mouse, 1:200, Santa sc-13537); anti-Ki67 (rabbit, 1:150, Cell Signaling 9129S); anti-NF-200 (mouse, 1:200, Sigma, SAB4200747); anti-MBP (rabbit, 1:200, Abcam ab218011); anti-F4/80 (mouse, 1:200, Santa sc-377009); Iba-1 (rabbit, 1:150, Abcam ab178846); anti-CGRP (rabbit, 1:400, Abcam ab283568); anti-TRPA1 (mouse, 1:200, Santa sc-376495); anti-CD86 (rabbit, 1:200, Proteintech 30691-1-AP); CD206 (rabbit, 1:200, Proteintech 18704-1-AP).

    Techniques: Ligation, Control, Immunofluorescence, Staining, Marker

    Expression of pain signal proteins in peripheral nerve locations. ( A ) Immunohistochemical (IHC) imaging of VEGFA and ( B ) quantification of VEGFA mean integrated density (n = 6). ( C ) IHC staining for NGF and ( D ) quantification of NGF mean integrated density (n = 6). ( E ) IF staining for macrophages (F4/80) and ( F ) quantification of macrophage number per 10 4 μm 2 (n = 6). ( G ) IF staining for scar tissue (α-SMA) and ( H ) quantification of α-SMA -positive area percentage (n = 6). ( I ) IF staining for myelin sheath (MBP) and axon (NF200) and ( J ) quantification of myelin sheath to axon area ratio (n = 6). ( K ) IF staining for pain-related mediators CGRP and TRPA1 and ( L ) quantification of CGRP (n = 6), and ( M ) TRPA1 (n = 6). Mean values are shown and error bars represent ± s.d., as analyzed by one-way ANOVA followed by the Tukey-Kramer test in ( B , D , F , H , J , L and M ). Biological replicates were used for all experiments. ns, p > 0.05, ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001.

    Journal: Bioactive Materials

    Article Title: Targeting VEGFR2 inhibition within a spatially-confined conduit promotes nerve self-resolution and alleviates mechanical allodynia

    doi: 10.1016/j.bioactmat.2026.03.009

    Figure Lengend Snippet: Expression of pain signal proteins in peripheral nerve locations. ( A ) Immunohistochemical (IHC) imaging of VEGFA and ( B ) quantification of VEGFA mean integrated density (n = 6). ( C ) IHC staining for NGF and ( D ) quantification of NGF mean integrated density (n = 6). ( E ) IF staining for macrophages (F4/80) and ( F ) quantification of macrophage number per 10 4 μm 2 (n = 6). ( G ) IF staining for scar tissue (α-SMA) and ( H ) quantification of α-SMA -positive area percentage (n = 6). ( I ) IF staining for myelin sheath (MBP) and axon (NF200) and ( J ) quantification of myelin sheath to axon area ratio (n = 6). ( K ) IF staining for pain-related mediators CGRP and TRPA1 and ( L ) quantification of CGRP (n = 6), and ( M ) TRPA1 (n = 6). Mean values are shown and error bars represent ± s.d., as analyzed by one-way ANOVA followed by the Tukey-Kramer test in ( B , D , F , H , J , L and M ). Biological replicates were used for all experiments. ns, p > 0.05, ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001.

    Article Snippet: The following primary antibodies were used for the subsequent steps: anti-Yap (mouse, 1:200, Santa sc-376830); anti-p-VEGFR2 (rabbit, 1:100 Invitrogen, PA5-105765); α-SMA (rabbit, 1:200, Proteintech 14395-1-AP); Reca-1 (mouse, 1:200, Santa sc-52665); anti-CD31 (mouse, 1:200, Santa sc-13537); anti-Ki67 (rabbit, 1:150, Cell Signaling 9129S); anti-NF-200 (mouse, 1:200, Sigma, SAB4200747); anti-MBP (rabbit, 1:200, Abcam ab218011); anti-F4/80 (mouse, 1:200, Santa sc-377009); Iba-1 (rabbit, 1:150, Abcam ab178846); anti-CGRP (rabbit, 1:400, Abcam ab283568); anti-TRPA1 (mouse, 1:200, Santa sc-376495); anti-CD86 (rabbit, 1:200, Proteintech 30691-1-AP); CD206 (rabbit, 1:200, Proteintech 18704-1-AP).

    Techniques: Expressing, Immunohistochemical staining, Imaging, Immunohistochemistry, Staining

    TAPC interacts with VEGFR2 and modulates downstream signaling. (a) Cell viability assay of MC38 cells treated with increasing concentrations of TAPC. (b) Immunoblot analysis of VEGFR2 and key regulators of the PI3K–AKT signaling pathway (PI3K, AKT, and STAT3) in MC38 cells treated with PEG-PO or TAPC (5 and 10 μM). β-Actin was used as a loading control. (c) Pull-down assay of VEGFR2 from MC38 cell lysates using biotinylated TAPC, beads-only sample served as control. (d) Confocal IF imaging of MC38 cells incubated with Cy5.5-labeled TAPC and stained for VEGFR2, nuclei counterstained with DAPI. Scale bars: 20 μm. (e) BLI analysis of TAPC binding to recombinant VEGFR2 using serial concentrations (100, 66.7, 44.4, 29.6, 19.8, 13.2, and 8.8 μM). (f) Molecular dynamics simulations showing predicted protein–ligand complexes (top) and binding pocket visualizations (bottom) of VEGFR2 with TAPC, NDMPFI, MBAMF, and TPFE. (g) Binding free energy calculations of these complexes, including van der Waals, electrostatic, solvation, and total energy components. (h) Extracellular acidification rate (ECAR) of MC38 cells treated with control (0 μM), TAPC (2.5 μM), or TAPC (10 μM), with sequential addition of glucose, oligomycin, and 2-deoxyglucose (2-DG). (i) Quantification of glycolysis and glycolytic capacity in MC38 cells treated with control (0 μM), TAPC (2.5 μM), or TAPC (10 μM) (n = 8). Data are presented as mean ± SEM. Statistical significance was assessed using one-way ANOVA with Tukey's multiple comparisons test; ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001.

    Journal: Bioactive Materials

    Article Title: Aminated fullerene-based nanoplatform enables synergistic VEGFR2-targeted anti-angiogenesis and tumor immunotherapy

    doi: 10.1016/j.bioactmat.2026.03.016

    Figure Lengend Snippet: TAPC interacts with VEGFR2 and modulates downstream signaling. (a) Cell viability assay of MC38 cells treated with increasing concentrations of TAPC. (b) Immunoblot analysis of VEGFR2 and key regulators of the PI3K–AKT signaling pathway (PI3K, AKT, and STAT3) in MC38 cells treated with PEG-PO or TAPC (5 and 10 μM). β-Actin was used as a loading control. (c) Pull-down assay of VEGFR2 from MC38 cell lysates using biotinylated TAPC, beads-only sample served as control. (d) Confocal IF imaging of MC38 cells incubated with Cy5.5-labeled TAPC and stained for VEGFR2, nuclei counterstained with DAPI. Scale bars: 20 μm. (e) BLI analysis of TAPC binding to recombinant VEGFR2 using serial concentrations (100, 66.7, 44.4, 29.6, 19.8, 13.2, and 8.8 μM). (f) Molecular dynamics simulations showing predicted protein–ligand complexes (top) and binding pocket visualizations (bottom) of VEGFR2 with TAPC, NDMPFI, MBAMF, and TPFE. (g) Binding free energy calculations of these complexes, including van der Waals, electrostatic, solvation, and total energy components. (h) Extracellular acidification rate (ECAR) of MC38 cells treated with control (0 μM), TAPC (2.5 μM), or TAPC (10 μM), with sequential addition of glucose, oligomycin, and 2-deoxyglucose (2-DG). (i) Quantification of glycolysis and glycolytic capacity in MC38 cells treated with control (0 μM), TAPC (2.5 μM), or TAPC (10 μM) (n = 8). Data are presented as mean ± SEM. Statistical significance was assessed using one-way ANOVA with Tukey's multiple comparisons test; ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001.

    Article Snippet: Antibodies were listed as follows: Anti-VEGF Receptor 2 antibody [EPRER16Y] (Abcam, Cat: ab134191), Anti-PI 3 Kinase catalytic subunit gamma (Abcam, Cat: ab302958), Anti-AKT (phosphor T308) antibody (Abcam, Cat: ab38449), Anti-STAT3 antibody [EPR787Y] (Abcam, Cat: ab68153), β-Actin (13E5) rabbit mAb (CST, Cat: #4970), Anti-CD31 antibody [EPR17260-263] (Abcam, Cat: ab222783), FITC anti-mouse CD45 (Biolegend, Cat: 103108), PerCP/Cyanine5.5 anti-mouse CD4 (Biolegend, Cat: 100434), FOXP3 Monoclonal Antibody (NRRF-30), PE, eBioscience (Thermo, Cat: 12-4771-82), CD3 (Abcam, Cat: ab16669), CD4 (Servicebio, Cat: GB15064).

    Techniques: Viability Assay, Western Blot, Control, Pull Down Assay, Imaging, Incubation, Labeling, Staining, Binding Assay, Recombinant

    In vivo anti-tumor and anti-angiogenic effects of TAPC@CNPs. (a) Schematic illustration of the therapeutic study in Balb/c mice bearing subcutaneous MC38 tumors (n = 7). (b) Body weights of mice during treatment. (c) Photographs of excised tumors collected at endpoint. (d) Tumor growth curves during treatment. Tumor volume was calculated using the formula (length × width 2 )/2. (e) Tumor weights measured at endpoint. (f) Immunoblot analysis of VEGFR2 expression in tumor lysates from different treatment groups, β-actin was used as a reference protein. (g) IHC staining of CD31 in tumor sections from different treatment groups. Scale bar, 100 μm. (h) H&E staining of major organs (heart, liver, spleen, lung, kidney) and tumor tissues. (i) Serum ALT and AST levels measured at endpoint. Data are presented as mean ± SEM. Statistical analysis was performed by one-way ANOVA with Tukey's multiple comparisons test, ns indicates not significant, ∗p < 0.05, ∗∗p < 0.01, ∗∗∗∗p < 0.0001.

    Journal: Bioactive Materials

    Article Title: Aminated fullerene-based nanoplatform enables synergistic VEGFR2-targeted anti-angiogenesis and tumor immunotherapy

    doi: 10.1016/j.bioactmat.2026.03.016

    Figure Lengend Snippet: In vivo anti-tumor and anti-angiogenic effects of TAPC@CNPs. (a) Schematic illustration of the therapeutic study in Balb/c mice bearing subcutaneous MC38 tumors (n = 7). (b) Body weights of mice during treatment. (c) Photographs of excised tumors collected at endpoint. (d) Tumor growth curves during treatment. Tumor volume was calculated using the formula (length × width 2 )/2. (e) Tumor weights measured at endpoint. (f) Immunoblot analysis of VEGFR2 expression in tumor lysates from different treatment groups, β-actin was used as a reference protein. (g) IHC staining of CD31 in tumor sections from different treatment groups. Scale bar, 100 μm. (h) H&E staining of major organs (heart, liver, spleen, lung, kidney) and tumor tissues. (i) Serum ALT and AST levels measured at endpoint. Data are presented as mean ± SEM. Statistical analysis was performed by one-way ANOVA with Tukey's multiple comparisons test, ns indicates not significant, ∗p < 0.05, ∗∗p < 0.01, ∗∗∗∗p < 0.0001.

    Article Snippet: Antibodies were listed as follows: Anti-VEGF Receptor 2 antibody [EPRER16Y] (Abcam, Cat: ab134191), Anti-PI 3 Kinase catalytic subunit gamma (Abcam, Cat: ab302958), Anti-AKT (phosphor T308) antibody (Abcam, Cat: ab38449), Anti-STAT3 antibody [EPR787Y] (Abcam, Cat: ab68153), β-Actin (13E5) rabbit mAb (CST, Cat: #4970), Anti-CD31 antibody [EPR17260-263] (Abcam, Cat: ab222783), FITC anti-mouse CD45 (Biolegend, Cat: 103108), PerCP/Cyanine5.5 anti-mouse CD4 (Biolegend, Cat: 100434), FOXP3 Monoclonal Antibody (NRRF-30), PE, eBioscience (Thermo, Cat: 12-4771-82), CD3 (Abcam, Cat: ab16669), CD4 (Servicebio, Cat: GB15064).

    Techniques: In Vivo, Western Blot, Expressing, Immunohistochemistry, Staining

    Changes in mitochondrial function following ECHDC3 knockdown. (A) TMRE staining results based on ECHDC3 -knockdown cells. siNC cells emitted bright red-orange fluorescence. Cells treated with a mitochondrial membrane-potential disrupter, CCCP, showed very weak or complete absence of red-orange fluorescence. The average fluorescence intensity of the cells was calculated and quantitatively analyzed. (B–C) mtDNA copy number ( MT–CO1 and MT–CO2 ) was quantified via quantitative RT-PCR; (D) Quantitation of mitochondrial SOD activity, wherein SOD activity decreased in ECHDC3 -knockdown cells. (E) Mitophagy biomarkers were detected via western blotting. β-Actin was used as a control. (F–I) Quantitation of the mitophagy pathway protein. Values were presented as mean ± standard error. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ∗∗∗∗ p < 0.0001. CCCP: Carbonyl cyanide m-chlorophenyl hydrazone; ECHDC3 : Enoyl-CoA hydratase domain-containing protein 3; mtDNA: Mitochondrial DNA; RT-PCR: Real-time polymerase chain reaction; SOD: Superoxide dismutase; TMRE: Tetramethyl rhodamine ethyl ester.

    Journal: Cancer Pathogenesis and Therapy

    Article Title: Metabolic pathways and chemotherapy resistance in acute myeloid leukemia (AML): Insights into Enoyl-CoA hydratase domain-containing protein 3 ( ECHDC3 ) as a potential therapeutic target

    doi: 10.1016/j.cpt.2025.08.002

    Figure Lengend Snippet: Changes in mitochondrial function following ECHDC3 knockdown. (A) TMRE staining results based on ECHDC3 -knockdown cells. siNC cells emitted bright red-orange fluorescence. Cells treated with a mitochondrial membrane-potential disrupter, CCCP, showed very weak or complete absence of red-orange fluorescence. The average fluorescence intensity of the cells was calculated and quantitatively analyzed. (B–C) mtDNA copy number ( MT–CO1 and MT–CO2 ) was quantified via quantitative RT-PCR; (D) Quantitation of mitochondrial SOD activity, wherein SOD activity decreased in ECHDC3 -knockdown cells. (E) Mitophagy biomarkers were detected via western blotting. β-Actin was used as a control. (F–I) Quantitation of the mitophagy pathway protein. Values were presented as mean ± standard error. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ∗∗∗∗ p < 0.0001. CCCP: Carbonyl cyanide m-chlorophenyl hydrazone; ECHDC3 : Enoyl-CoA hydratase domain-containing protein 3; mtDNA: Mitochondrial DNA; RT-PCR: Real-time polymerase chain reaction; SOD: Superoxide dismutase; TMRE: Tetramethyl rhodamine ethyl ester.

    Article Snippet: Western blotting was performed to determine the expression of mitochondrial proteins, using the Mitophagy Antibody Sampler Kit (Cat# 43110, Cell Signaling Technology [CST], MA, USA) and an anti-β-actin mouse monoclonal antibody (Cat# 3700, CST, MA, USA).

    Techniques: Knockdown, Staining, Fluorescence, Membrane, Quantitative RT-PCR, Quantitation Assay, Activity Assay, Western Blot, Control, Reverse Transcription Polymerase Chain Reaction, Real-time Polymerase Chain Reaction