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murine tumor cell lines b16 melanoma  (ATCC)


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    ATCC murine tumor cell lines b16 melanoma
    Physicochemical properties of BOLT, and BOLT reduces the growth of tumor cells. (A) Schematic of surface double-layer formation and ion release. (B) Negative zeta potential (−1.365 mV) and high conductivity (1.334 mS/cm), confirming colloidal stability and ion release. (C) Uniform particle size (∼1478 nm) across batches. (D) Interfacial pH buffering in PBS. (E) Naïve CD4 + T cells were isolated and activated using anti-CD3 and anti-CD28 using the culture media with 6.0 pH and treated with various doses of BOLT. RT-qPCR was performed to determine the expression of Gpcr68 at various BOLT doses in activated T cells at acidic pH. (F) Anti-CD3 and anti-CD28 activated CD4 + T cells were treated with different doses of BOLT to determine the protein expression of GPCR68 using Western blot. (G-J) CCK8 assay was performed to analyze the effect of various pH on <t>B16,</t> MC38, 143B, and MG63 cell proliferation. (K-L) Effect of various doses of BOLT on the B16 and K7M2 cell growth to determine the IC-50 of BOLT. Error bars represent mean ± SEM. ∗∗ p < 0.01 and ∗ p < 0.05.
    Murine Tumor Cell Lines B16 Melanoma, supplied by ATCC, used in various techniques. Bioz Stars score: 96/100, based on 539 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Average 96 stars, based on 539 article reviews
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    Images

    1) Product Images from "pH-neutralization strategy to suppress GPCR68 spatiotemporally activates T cells and enhances anti-tumor immunity"

    Article Title: pH-neutralization strategy to suppress GPCR68 spatiotemporally activates T cells and enhances anti-tumor immunity

    Journal: Bioactive Materials

    doi: 10.1016/j.bioactmat.2026.02.039

    Physicochemical properties of BOLT, and BOLT reduces the growth of tumor cells. (A) Schematic of surface double-layer formation and ion release. (B) Negative zeta potential (−1.365 mV) and high conductivity (1.334 mS/cm), confirming colloidal stability and ion release. (C) Uniform particle size (∼1478 nm) across batches. (D) Interfacial pH buffering in PBS. (E) Naïve CD4 + T cells were isolated and activated using anti-CD3 and anti-CD28 using the culture media with 6.0 pH and treated with various doses of BOLT. RT-qPCR was performed to determine the expression of Gpcr68 at various BOLT doses in activated T cells at acidic pH. (F) Anti-CD3 and anti-CD28 activated CD4 + T cells were treated with different doses of BOLT to determine the protein expression of GPCR68 using Western blot. (G-J) CCK8 assay was performed to analyze the effect of various pH on B16, MC38, 143B, and MG63 cell proliferation. (K-L) Effect of various doses of BOLT on the B16 and K7M2 cell growth to determine the IC-50 of BOLT. Error bars represent mean ± SEM. ∗∗ p < 0.01 and ∗ p < 0.05.
    Figure Legend Snippet: Physicochemical properties of BOLT, and BOLT reduces the growth of tumor cells. (A) Schematic of surface double-layer formation and ion release. (B) Negative zeta potential (−1.365 mV) and high conductivity (1.334 mS/cm), confirming colloidal stability and ion release. (C) Uniform particle size (∼1478 nm) across batches. (D) Interfacial pH buffering in PBS. (E) Naïve CD4 + T cells were isolated and activated using anti-CD3 and anti-CD28 using the culture media with 6.0 pH and treated with various doses of BOLT. RT-qPCR was performed to determine the expression of Gpcr68 at various BOLT doses in activated T cells at acidic pH. (F) Anti-CD3 and anti-CD28 activated CD4 + T cells were treated with different doses of BOLT to determine the protein expression of GPCR68 using Western blot. (G-J) CCK8 assay was performed to analyze the effect of various pH on B16, MC38, 143B, and MG63 cell proliferation. (K-L) Effect of various doses of BOLT on the B16 and K7M2 cell growth to determine the IC-50 of BOLT. Error bars represent mean ± SEM. ∗∗ p < 0.01 and ∗ p < 0.05.

    Techniques Used: Zeta Potential Analyzer, Isolation, Quantitative RT-PCR, Expressing, Western Blot, CCK-8 Assay

    Anti-tumor effects of borate bioactive glass (BOLT) in B16 tumor. (A) Schematic illustration depicting the induction of B16 melanoma tumors, followed by treatment with BOLT at various time points, and tumor harvesting for subsequent analysis. (B) Tumor growth curves showing tumor volume in Control and BOLT-treated B16 melanoma tumors in mice. (C) Tumor weight at the time of harvesting in the BOLT-treated group compared to the Control. (D) Representative images of excised tumors from Control and BOLT-treated mice. (E) In vivo imaging of tumor-bearing mice in both the Control and BOLT-treated groups. (F) Flow cytometry analysis showing IFN-γ production in CD4 + and CD8 + T cells following BOLT treatment compared to Control. (G) Flow cytometry analysis demonstrated TNF-α production in CD4 + and CD8 + T cells in the BOLT-treated group, with a significant increase observed in CD8 + T cells. Student t-test was performed for comparison between the two groups. Two-way ANOVA was used for multiple comparisons. Data represent the mean ± SEM (n = 5). ∗ p < 0.05, ∗∗ p < 0.01.
    Figure Legend Snippet: Anti-tumor effects of borate bioactive glass (BOLT) in B16 tumor. (A) Schematic illustration depicting the induction of B16 melanoma tumors, followed by treatment with BOLT at various time points, and tumor harvesting for subsequent analysis. (B) Tumor growth curves showing tumor volume in Control and BOLT-treated B16 melanoma tumors in mice. (C) Tumor weight at the time of harvesting in the BOLT-treated group compared to the Control. (D) Representative images of excised tumors from Control and BOLT-treated mice. (E) In vivo imaging of tumor-bearing mice in both the Control and BOLT-treated groups. (F) Flow cytometry analysis showing IFN-γ production in CD4 + and CD8 + T cells following BOLT treatment compared to Control. (G) Flow cytometry analysis demonstrated TNF-α production in CD4 + and CD8 + T cells in the BOLT-treated group, with a significant increase observed in CD8 + T cells. Student t-test was performed for comparison between the two groups. Two-way ANOVA was used for multiple comparisons. Data represent the mean ± SEM (n = 5). ∗ p < 0.05, ∗∗ p < 0.01.

    Techniques Used: Control, In Vivo Imaging, Flow Cytometry, Comparison

    BOLT treatment induces ferroptosis in tumor cells. (A) RNA was extracted from Control and BOLT-treated tumors, and RNA sequencing (RNAseq) was performed to identify differentially expressed genes. (B) KEGG pathway analysis was conducted to assess the biological functions of the differentially expressed genes. (C) Heatmap displaying the differential expression of ferroptosis-related genes in BOLT-treated versus Control cells. (D) qRT-PCR analysis showing dose-dependent downregulation of Nrf2 in BOLT-treated cells. (E) qRT-PCR analysis of Duox1 expression in B16 cells following BOLT treatment. (F) Transmission electron microscopy (TEM) images showing mitochondrial shrinkage, increased membrane density, and loss of cristae in BOLT-treated cells. (G) Heatmap showing the dysregulated genes involved in ROS-chemical carcinogenesis in B16 cells treated with BOLT. (H) Flow cytometry analysis revealing reactive oxygen species (ROS) production in B16 cells treated with BOLT (0.25 μg/mL) compared to Control. (I) Histogram overlays and bar graph confirm elevated bodipy levels in BOLT-treated cells versus Control. (J) Annexin V/PI staining shows no significant apoptosis in B16 cells following BOLT treatment. (K) Western blot analysis showing the expression of genes involved in downregulating ferroptosis (SLC7A11, FACL4, and GPX4) in BOLT-treated B16 cells. Student t-test was performed for comparison between 2 groups. Two-way ANOVA was used for multiple comparisons. In-vitro experiments were performed in triplicate. Data are mean ± SEM, ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001.
    Figure Legend Snippet: BOLT treatment induces ferroptosis in tumor cells. (A) RNA was extracted from Control and BOLT-treated tumors, and RNA sequencing (RNAseq) was performed to identify differentially expressed genes. (B) KEGG pathway analysis was conducted to assess the biological functions of the differentially expressed genes. (C) Heatmap displaying the differential expression of ferroptosis-related genes in BOLT-treated versus Control cells. (D) qRT-PCR analysis showing dose-dependent downregulation of Nrf2 in BOLT-treated cells. (E) qRT-PCR analysis of Duox1 expression in B16 cells following BOLT treatment. (F) Transmission electron microscopy (TEM) images showing mitochondrial shrinkage, increased membrane density, and loss of cristae in BOLT-treated cells. (G) Heatmap showing the dysregulated genes involved in ROS-chemical carcinogenesis in B16 cells treated with BOLT. (H) Flow cytometry analysis revealing reactive oxygen species (ROS) production in B16 cells treated with BOLT (0.25 μg/mL) compared to Control. (I) Histogram overlays and bar graph confirm elevated bodipy levels in BOLT-treated cells versus Control. (J) Annexin V/PI staining shows no significant apoptosis in B16 cells following BOLT treatment. (K) Western blot analysis showing the expression of genes involved in downregulating ferroptosis (SLC7A11, FACL4, and GPX4) in BOLT-treated B16 cells. Student t-test was performed for comparison between 2 groups. Two-way ANOVA was used for multiple comparisons. In-vitro experiments were performed in triplicate. Data are mean ± SEM, ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001.

    Techniques Used: Control, RNA Sequencing, RNA sequencing, Quantitative Proteomics, Quantitative RT-PCR, Expressing, Transmission Assay, Electron Microscopy, Membrane, Flow Cytometry, Staining, Western Blot, Comparison, In Vitro

    Combinational treatment of BOLT and anti-CTLA-4 blockade enhances anti-tumor immune response in B16 melanoma. (A) C57BL/6 mice were subcutaneously injected with 1 × 10 5 B16 melanoma cells on day 0 to induce tumors. On day 7, mice were randomly divided into groups and treated with either BOLT alone (intratumoral injection administered on alternate days starting from day 7), anti-CTLA-4 (intraperitoneal injection administered on days 9, 11, 13, and 15), or a combination of both treatments. PBS was used as a vehicle Control, while IgG was used as anti-CTLA-4 Control. Tumor growth was monitored throughout the treatment period, and tumors were harvested for analysis on day 21. (B-C) Tumor growth curves and area under the curve (AUC) analysis for WT mice treated with BOLT, with or without anti-CTLA-4 antibody, following subcutaneous injection of B16 melanoma cells. Tumor growth was monitored, and analysis was conducted on day 21. (D) Representative images of excised tumors at day 21, showed reduced tumor size in combination-treated mice. (E, F) Flow cytometry analysis of IFN-γ production by tumor-infiltrating CD4 + and CD8 + T cells. (G, H) Flow cytometry analysis of TNF-α production by tumor-infiltrating CD4 + and CD8 + T cells. Two-way ANOVA was used for multiple comparisons. Data are mean ± SEM (n = 5), ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001.
    Figure Legend Snippet: Combinational treatment of BOLT and anti-CTLA-4 blockade enhances anti-tumor immune response in B16 melanoma. (A) C57BL/6 mice were subcutaneously injected with 1 × 10 5 B16 melanoma cells on day 0 to induce tumors. On day 7, mice were randomly divided into groups and treated with either BOLT alone (intratumoral injection administered on alternate days starting from day 7), anti-CTLA-4 (intraperitoneal injection administered on days 9, 11, 13, and 15), or a combination of both treatments. PBS was used as a vehicle Control, while IgG was used as anti-CTLA-4 Control. Tumor growth was monitored throughout the treatment period, and tumors were harvested for analysis on day 21. (B-C) Tumor growth curves and area under the curve (AUC) analysis for WT mice treated with BOLT, with or without anti-CTLA-4 antibody, following subcutaneous injection of B16 melanoma cells. Tumor growth was monitored, and analysis was conducted on day 21. (D) Representative images of excised tumors at day 21, showed reduced tumor size in combination-treated mice. (E, F) Flow cytometry analysis of IFN-γ production by tumor-infiltrating CD4 + and CD8 + T cells. (G, H) Flow cytometry analysis of TNF-α production by tumor-infiltrating CD4 + and CD8 + T cells. Two-way ANOVA was used for multiple comparisons. Data are mean ± SEM (n = 5), ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001.

    Techniques Used: Injection, Control, Flow Cytometry



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    Physicochemical properties of BOLT, and BOLT reduces the growth of tumor cells. (A) Schematic of surface double-layer formation and ion release. (B) Negative zeta potential (−1.365 mV) and high conductivity (1.334 mS/cm), confirming colloidal stability and ion release. (C) Uniform particle size (∼1478 nm) across batches. (D) Interfacial pH buffering in PBS. (E) Naïve CD4 + T cells were isolated and activated using anti-CD3 and anti-CD28 using the culture media with 6.0 pH and treated with various doses of BOLT. RT-qPCR was performed to determine the expression of Gpcr68 at various BOLT doses in activated T cells at acidic pH. (F) Anti-CD3 and anti-CD28 activated CD4 + T cells were treated with different doses of BOLT to determine the protein expression of GPCR68 using Western blot. (G-J) CCK8 assay was performed to analyze the effect of various pH on B16, MC38, 143B, and MG63 cell proliferation. (K-L) Effect of various doses of BOLT on the B16 and K7M2 cell growth to determine the IC-50 of BOLT. Error bars represent mean ± SEM. ∗∗ p < 0.01 and ∗ p < 0.05.

    Journal: Bioactive Materials

    Article Title: pH-neutralization strategy to suppress GPCR68 spatiotemporally activates T cells and enhances anti-tumor immunity

    doi: 10.1016/j.bioactmat.2026.02.039

    Figure Lengend Snippet: Physicochemical properties of BOLT, and BOLT reduces the growth of tumor cells. (A) Schematic of surface double-layer formation and ion release. (B) Negative zeta potential (−1.365 mV) and high conductivity (1.334 mS/cm), confirming colloidal stability and ion release. (C) Uniform particle size (∼1478 nm) across batches. (D) Interfacial pH buffering in PBS. (E) Naïve CD4 + T cells were isolated and activated using anti-CD3 and anti-CD28 using the culture media with 6.0 pH and treated with various doses of BOLT. RT-qPCR was performed to determine the expression of Gpcr68 at various BOLT doses in activated T cells at acidic pH. (F) Anti-CD3 and anti-CD28 activated CD4 + T cells were treated with different doses of BOLT to determine the protein expression of GPCR68 using Western blot. (G-J) CCK8 assay was performed to analyze the effect of various pH on B16, MC38, 143B, and MG63 cell proliferation. (K-L) Effect of various doses of BOLT on the B16 and K7M2 cell growth to determine the IC-50 of BOLT. Error bars represent mean ± SEM. ∗∗ p < 0.01 and ∗ p < 0.05.

    Article Snippet: Murine tumor cell lines B16 melanoma (RRID: CVCL_0159), MC38 colon cancer (RRID: CVCL_B288), and 4T1 (RRID: CRL_2539) were purchased from the ATCC and cultured in RPMI 1640 medium (Gibco) or DMEM medium (Gibco) with 10% FBS as well as 1% penicillin/streptomycin.

    Techniques: Zeta Potential Analyzer, Isolation, Quantitative RT-PCR, Expressing, Western Blot, CCK-8 Assay

    Anti-tumor effects of borate bioactive glass (BOLT) in B16 tumor. (A) Schematic illustration depicting the induction of B16 melanoma tumors, followed by treatment with BOLT at various time points, and tumor harvesting for subsequent analysis. (B) Tumor growth curves showing tumor volume in Control and BOLT-treated B16 melanoma tumors in mice. (C) Tumor weight at the time of harvesting in the BOLT-treated group compared to the Control. (D) Representative images of excised tumors from Control and BOLT-treated mice. (E) In vivo imaging of tumor-bearing mice in both the Control and BOLT-treated groups. (F) Flow cytometry analysis showing IFN-γ production in CD4 + and CD8 + T cells following BOLT treatment compared to Control. (G) Flow cytometry analysis demonstrated TNF-α production in CD4 + and CD8 + T cells in the BOLT-treated group, with a significant increase observed in CD8 + T cells. Student t-test was performed for comparison between the two groups. Two-way ANOVA was used for multiple comparisons. Data represent the mean ± SEM (n = 5). ∗ p < 0.05, ∗∗ p < 0.01.

    Journal: Bioactive Materials

    Article Title: pH-neutralization strategy to suppress GPCR68 spatiotemporally activates T cells and enhances anti-tumor immunity

    doi: 10.1016/j.bioactmat.2026.02.039

    Figure Lengend Snippet: Anti-tumor effects of borate bioactive glass (BOLT) in B16 tumor. (A) Schematic illustration depicting the induction of B16 melanoma tumors, followed by treatment with BOLT at various time points, and tumor harvesting for subsequent analysis. (B) Tumor growth curves showing tumor volume in Control and BOLT-treated B16 melanoma tumors in mice. (C) Tumor weight at the time of harvesting in the BOLT-treated group compared to the Control. (D) Representative images of excised tumors from Control and BOLT-treated mice. (E) In vivo imaging of tumor-bearing mice in both the Control and BOLT-treated groups. (F) Flow cytometry analysis showing IFN-γ production in CD4 + and CD8 + T cells following BOLT treatment compared to Control. (G) Flow cytometry analysis demonstrated TNF-α production in CD4 + and CD8 + T cells in the BOLT-treated group, with a significant increase observed in CD8 + T cells. Student t-test was performed for comparison between the two groups. Two-way ANOVA was used for multiple comparisons. Data represent the mean ± SEM (n = 5). ∗ p < 0.05, ∗∗ p < 0.01.

    Article Snippet: Murine tumor cell lines B16 melanoma (RRID: CVCL_0159), MC38 colon cancer (RRID: CVCL_B288), and 4T1 (RRID: CRL_2539) were purchased from the ATCC and cultured in RPMI 1640 medium (Gibco) or DMEM medium (Gibco) with 10% FBS as well as 1% penicillin/streptomycin.

    Techniques: Control, In Vivo Imaging, Flow Cytometry, Comparison

    BOLT treatment induces ferroptosis in tumor cells. (A) RNA was extracted from Control and BOLT-treated tumors, and RNA sequencing (RNAseq) was performed to identify differentially expressed genes. (B) KEGG pathway analysis was conducted to assess the biological functions of the differentially expressed genes. (C) Heatmap displaying the differential expression of ferroptosis-related genes in BOLT-treated versus Control cells. (D) qRT-PCR analysis showing dose-dependent downregulation of Nrf2 in BOLT-treated cells. (E) qRT-PCR analysis of Duox1 expression in B16 cells following BOLT treatment. (F) Transmission electron microscopy (TEM) images showing mitochondrial shrinkage, increased membrane density, and loss of cristae in BOLT-treated cells. (G) Heatmap showing the dysregulated genes involved in ROS-chemical carcinogenesis in B16 cells treated with BOLT. (H) Flow cytometry analysis revealing reactive oxygen species (ROS) production in B16 cells treated with BOLT (0.25 μg/mL) compared to Control. (I) Histogram overlays and bar graph confirm elevated bodipy levels in BOLT-treated cells versus Control. (J) Annexin V/PI staining shows no significant apoptosis in B16 cells following BOLT treatment. (K) Western blot analysis showing the expression of genes involved in downregulating ferroptosis (SLC7A11, FACL4, and GPX4) in BOLT-treated B16 cells. Student t-test was performed for comparison between 2 groups. Two-way ANOVA was used for multiple comparisons. In-vitro experiments were performed in triplicate. Data are mean ± SEM, ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001.

    Journal: Bioactive Materials

    Article Title: pH-neutralization strategy to suppress GPCR68 spatiotemporally activates T cells and enhances anti-tumor immunity

    doi: 10.1016/j.bioactmat.2026.02.039

    Figure Lengend Snippet: BOLT treatment induces ferroptosis in tumor cells. (A) RNA was extracted from Control and BOLT-treated tumors, and RNA sequencing (RNAseq) was performed to identify differentially expressed genes. (B) KEGG pathway analysis was conducted to assess the biological functions of the differentially expressed genes. (C) Heatmap displaying the differential expression of ferroptosis-related genes in BOLT-treated versus Control cells. (D) qRT-PCR analysis showing dose-dependent downregulation of Nrf2 in BOLT-treated cells. (E) qRT-PCR analysis of Duox1 expression in B16 cells following BOLT treatment. (F) Transmission electron microscopy (TEM) images showing mitochondrial shrinkage, increased membrane density, and loss of cristae in BOLT-treated cells. (G) Heatmap showing the dysregulated genes involved in ROS-chemical carcinogenesis in B16 cells treated with BOLT. (H) Flow cytometry analysis revealing reactive oxygen species (ROS) production in B16 cells treated with BOLT (0.25 μg/mL) compared to Control. (I) Histogram overlays and bar graph confirm elevated bodipy levels in BOLT-treated cells versus Control. (J) Annexin V/PI staining shows no significant apoptosis in B16 cells following BOLT treatment. (K) Western blot analysis showing the expression of genes involved in downregulating ferroptosis (SLC7A11, FACL4, and GPX4) in BOLT-treated B16 cells. Student t-test was performed for comparison between 2 groups. Two-way ANOVA was used for multiple comparisons. In-vitro experiments were performed in triplicate. Data are mean ± SEM, ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001.

    Article Snippet: Murine tumor cell lines B16 melanoma (RRID: CVCL_0159), MC38 colon cancer (RRID: CVCL_B288), and 4T1 (RRID: CRL_2539) were purchased from the ATCC and cultured in RPMI 1640 medium (Gibco) or DMEM medium (Gibco) with 10% FBS as well as 1% penicillin/streptomycin.

    Techniques: Control, RNA Sequencing, RNA sequencing, Quantitative Proteomics, Quantitative RT-PCR, Expressing, Transmission Assay, Electron Microscopy, Membrane, Flow Cytometry, Staining, Western Blot, Comparison, In Vitro

    Combinational treatment of BOLT and anti-CTLA-4 blockade enhances anti-tumor immune response in B16 melanoma. (A) C57BL/6 mice were subcutaneously injected with 1 × 10 5 B16 melanoma cells on day 0 to induce tumors. On day 7, mice were randomly divided into groups and treated with either BOLT alone (intratumoral injection administered on alternate days starting from day 7), anti-CTLA-4 (intraperitoneal injection administered on days 9, 11, 13, and 15), or a combination of both treatments. PBS was used as a vehicle Control, while IgG was used as anti-CTLA-4 Control. Tumor growth was monitored throughout the treatment period, and tumors were harvested for analysis on day 21. (B-C) Tumor growth curves and area under the curve (AUC) analysis for WT mice treated with BOLT, with or without anti-CTLA-4 antibody, following subcutaneous injection of B16 melanoma cells. Tumor growth was monitored, and analysis was conducted on day 21. (D) Representative images of excised tumors at day 21, showed reduced tumor size in combination-treated mice. (E, F) Flow cytometry analysis of IFN-γ production by tumor-infiltrating CD4 + and CD8 + T cells. (G, H) Flow cytometry analysis of TNF-α production by tumor-infiltrating CD4 + and CD8 + T cells. Two-way ANOVA was used for multiple comparisons. Data are mean ± SEM (n = 5), ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001.

    Journal: Bioactive Materials

    Article Title: pH-neutralization strategy to suppress GPCR68 spatiotemporally activates T cells and enhances anti-tumor immunity

    doi: 10.1016/j.bioactmat.2026.02.039

    Figure Lengend Snippet: Combinational treatment of BOLT and anti-CTLA-4 blockade enhances anti-tumor immune response in B16 melanoma. (A) C57BL/6 mice were subcutaneously injected with 1 × 10 5 B16 melanoma cells on day 0 to induce tumors. On day 7, mice were randomly divided into groups and treated with either BOLT alone (intratumoral injection administered on alternate days starting from day 7), anti-CTLA-4 (intraperitoneal injection administered on days 9, 11, 13, and 15), or a combination of both treatments. PBS was used as a vehicle Control, while IgG was used as anti-CTLA-4 Control. Tumor growth was monitored throughout the treatment period, and tumors were harvested for analysis on day 21. (B-C) Tumor growth curves and area under the curve (AUC) analysis for WT mice treated with BOLT, with or without anti-CTLA-4 antibody, following subcutaneous injection of B16 melanoma cells. Tumor growth was monitored, and analysis was conducted on day 21. (D) Representative images of excised tumors at day 21, showed reduced tumor size in combination-treated mice. (E, F) Flow cytometry analysis of IFN-γ production by tumor-infiltrating CD4 + and CD8 + T cells. (G, H) Flow cytometry analysis of TNF-α production by tumor-infiltrating CD4 + and CD8 + T cells. Two-way ANOVA was used for multiple comparisons. Data are mean ± SEM (n = 5), ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001.

    Article Snippet: Murine tumor cell lines B16 melanoma (RRID: CVCL_0159), MC38 colon cancer (RRID: CVCL_B288), and 4T1 (RRID: CRL_2539) were purchased from the ATCC and cultured in RPMI 1640 medium (Gibco) or DMEM medium (Gibco) with 10% FBS as well as 1% penicillin/streptomycin.

    Techniques: Injection, Control, Flow Cytometry

    In vivo photoacoustic imaging and analysis of the vulnerability of atherosclerotic plaque. ( A - G ) Ex vivo distribution of HMCN@Cy5.5 , Scr-HMCN@Cy5.5 , and OPN-HMCN@Cy5.5 in various organs—specifically the aorta ( B ), heart ( C ), liver ( D ), spleen ( E ), lung ( F ), and kidney ( G )—from apoE −/− mice at 0, 6, 12, and 24 h post-intravenous injection (n = 3). ( H ) Confocal images demonstrate the colocalization of OPN with CY5.5-labeled nanoparticles in aortic roots (n = 6, scale bars, 200 μm). ( I ) Quantitative analysis of the relative MFI of OPN and CY5.5 in different treatment groups. ( J , K ) Photoacoustic images and quantitative analysis of signal intensities of atherosclerotic plaque in carotid arteries of both healthy and atherosclerosis mice (n = 3). For each animal, longitudinal PA imaging was performed on the same carotid artery at predefined anatomical landmarks across different time points. Photoacoustic images were acquired with depth calibration based on acoustic time-of-flight measurements, converting ultrasound echo delay into depth using the predefined sound velocity in soft tissue. A calibrated depth scale bar is shown in each image, with an effective imaging depth of approximately 7 mm. ( L , M ) Pathological staining of atherosclerotic plaques in the carotid artery and aortic arch includes ORO and Masson staining (scale bar = 200 μm), as well as α -SMA, and CD68 fluorescent staining (scale bar = 100 μm each). ( N - Q ) The statistical analysis of ( N ) ORO staining (namely the percentage of LD area), ( O ) Masson staining (namely the percentage of collagen fiber area), ( P ) α -SMA fluorescent staining (namely the percentage of smooth muscle cell area) and ( Q ) CD68 fluorescent staining (namely the percentage of macrophage-derived foam cell area). ( R ) Vulnerability scores of aortic arch and carotid artery plaques. ∗ P < 0.05, ∗∗ P < 0.01, and ∗∗∗∗ P < 0.0001.

    Journal: Bioactive Materials

    Article Title: A foam cell-targeted lipophagy restoration strategy stabilizes vulnerable atherosclerotic plaques

    doi: 10.1016/j.bioactmat.2026.02.041

    Figure Lengend Snippet: In vivo photoacoustic imaging and analysis of the vulnerability of atherosclerotic plaque. ( A - G ) Ex vivo distribution of HMCN@Cy5.5 , Scr-HMCN@Cy5.5 , and OPN-HMCN@Cy5.5 in various organs—specifically the aorta ( B ), heart ( C ), liver ( D ), spleen ( E ), lung ( F ), and kidney ( G )—from apoE −/− mice at 0, 6, 12, and 24 h post-intravenous injection (n = 3). ( H ) Confocal images demonstrate the colocalization of OPN with CY5.5-labeled nanoparticles in aortic roots (n = 6, scale bars, 200 μm). ( I ) Quantitative analysis of the relative MFI of OPN and CY5.5 in different treatment groups. ( J , K ) Photoacoustic images and quantitative analysis of signal intensities of atherosclerotic plaque in carotid arteries of both healthy and atherosclerosis mice (n = 3). For each animal, longitudinal PA imaging was performed on the same carotid artery at predefined anatomical landmarks across different time points. Photoacoustic images were acquired with depth calibration based on acoustic time-of-flight measurements, converting ultrasound echo delay into depth using the predefined sound velocity in soft tissue. A calibrated depth scale bar is shown in each image, with an effective imaging depth of approximately 7 mm. ( L , M ) Pathological staining of atherosclerotic plaques in the carotid artery and aortic arch includes ORO and Masson staining (scale bar = 200 μm), as well as α -SMA, and CD68 fluorescent staining (scale bar = 100 μm each). ( N - Q ) The statistical analysis of ( N ) ORO staining (namely the percentage of LD area), ( O ) Masson staining (namely the percentage of collagen fiber area), ( P ) α -SMA fluorescent staining (namely the percentage of smooth muscle cell area) and ( Q ) CD68 fluorescent staining (namely the percentage of macrophage-derived foam cell area). ( R ) Vulnerability scores of aortic arch and carotid artery plaques. ∗ P < 0.05, ∗∗ P < 0.01, and ∗∗∗∗ P < 0.0001.

    Article Snippet: Mouse macrophage cell line (RAW264.7) was obtained from the American Type Culture Collection, USA.

    Techniques: In Vivo, Imaging, Ex Vivo, Injection, Labeling, Staining, Derivative Assay

    In vivo atherosclerosis reversal. ( A ) Schematic illustration of the experimental timeline and treatment strategy for establishing a mature, vulnerable atherosclerosis model and evaluating therapeutic interventions. Mice were fed a high-fat diet (HFD) for 12 weeks and then divided into five groups (HFD+ 12W, Saline HFD+, OPN-HMCN@MLT HFD+, Saline HFD−, and OPN-HMCN@MLT HFD−). Except for the HFD+ 12W group, the remaining groups were further maintained for an additional 4 weeks under either HFD or non-HFD conditions with the indicated treatments. ( B , C ) Images of en face ORO-stained aortas ( B ) and quantitative analysis of ORO-positive regions ( C ) from mice subjected to different treatments and diets (n = 6, scale bar: 5 mm). ( D ) Aortic root sections stained by ORO, H&E, α-SMA antibody, Masson's trichrome, CD68 antibody, and MMP-9 antibody, respectively, following various therapeutic procedures (n = 6, scale bar: 500 μm). ( E - J ) Quantitative data of lipid accumulation ( E ), necrotic core area ( F ), collagen area ( G ), MMP-9 level ( H ), VSMC area ( I ), and macrophage-foam cell area ( J ) in aortic root sections. ( K ) Vulnerability scores of aortic root plaque. ∗ P < 0.05, ∗∗ P < 0.01, ∗∗∗ P < 0.001, ∗∗∗∗ P < 0.0001.

    Journal: Bioactive Materials

    Article Title: A foam cell-targeted lipophagy restoration strategy stabilizes vulnerable atherosclerotic plaques

    doi: 10.1016/j.bioactmat.2026.02.041

    Figure Lengend Snippet: In vivo atherosclerosis reversal. ( A ) Schematic illustration of the experimental timeline and treatment strategy for establishing a mature, vulnerable atherosclerosis model and evaluating therapeutic interventions. Mice were fed a high-fat diet (HFD) for 12 weeks and then divided into five groups (HFD+ 12W, Saline HFD+, OPN-HMCN@MLT HFD+, Saline HFD−, and OPN-HMCN@MLT HFD−). Except for the HFD+ 12W group, the remaining groups were further maintained for an additional 4 weeks under either HFD or non-HFD conditions with the indicated treatments. ( B , C ) Images of en face ORO-stained aortas ( B ) and quantitative analysis of ORO-positive regions ( C ) from mice subjected to different treatments and diets (n = 6, scale bar: 5 mm). ( D ) Aortic root sections stained by ORO, H&E, α-SMA antibody, Masson's trichrome, CD68 antibody, and MMP-9 antibody, respectively, following various therapeutic procedures (n = 6, scale bar: 500 μm). ( E - J ) Quantitative data of lipid accumulation ( E ), necrotic core area ( F ), collagen area ( G ), MMP-9 level ( H ), VSMC area ( I ), and macrophage-foam cell area ( J ) in aortic root sections. ( K ) Vulnerability scores of aortic root plaque. ∗ P < 0.05, ∗∗ P < 0.01, ∗∗∗ P < 0.001, ∗∗∗∗ P < 0.0001.

    Article Snippet: Mouse macrophage cell line (RAW264.7) was obtained from the American Type Culture Collection, USA.

    Techniques: In Vivo, Saline, Staining

    In vivo anti-atherosclerosis effects. ( A ) Diagram illustrating the treatment protocol for apoE −/− mice. ( B , C ) En face ORO staining images and quantitative analysis of the lesion area of aortic lesion areas in apoE −/− mice following various treatments (n = 6, scale bar: 5 mm). ( D ) Quantification of the reduction ratio (versus model) of ORO-positive area to the entire aorta. ( E ) Cross-sectional images of ORO-stained aortic root (scale bars, 500 μm) and brachiocephalic artery (scale bars, 200 μm). n = 6. ( F and G ) Quantitative analysis of the aortic root lesion area ( F ) and the reduction ratio (versus model) of ORO-positive area to the aortic root ( G ). ( H ) Aortic root sections stained by H&E, α-SMA antibody, Masson's trichrome, CD68 antibody, MMP-9 antibody, and OPN antibody, respectively, following various therapeutic procedures (n = 6, scale bar: 500 μm). ( I-M ) Quantitative data of necrotic core area ( I ), collagen area ( J ), VSMC area ( K ), macrophage-foam cell area ( L ), and MMP-9 level ( M ) in aortic root sections. ( N ) Representative TEM images of LDs in the aortic root and arch of apoE −/− mice following various treatments (scale bar: 1 μm). The green arrow indicates elastic fibers. ( O-R ) Quantification of lipid droplet number and average area per cell section, n = 6. ∗ P < 0.05, ∗∗ P < 0.01, ∗∗∗ P < 0.001, and ∗∗∗∗ P < 0.0001.

    Journal: Bioactive Materials

    Article Title: A foam cell-targeted lipophagy restoration strategy stabilizes vulnerable atherosclerotic plaques

    doi: 10.1016/j.bioactmat.2026.02.041

    Figure Lengend Snippet: In vivo anti-atherosclerosis effects. ( A ) Diagram illustrating the treatment protocol for apoE −/− mice. ( B , C ) En face ORO staining images and quantitative analysis of the lesion area of aortic lesion areas in apoE −/− mice following various treatments (n = 6, scale bar: 5 mm). ( D ) Quantification of the reduction ratio (versus model) of ORO-positive area to the entire aorta. ( E ) Cross-sectional images of ORO-stained aortic root (scale bars, 500 μm) and brachiocephalic artery (scale bars, 200 μm). n = 6. ( F and G ) Quantitative analysis of the aortic root lesion area ( F ) and the reduction ratio (versus model) of ORO-positive area to the aortic root ( G ). ( H ) Aortic root sections stained by H&E, α-SMA antibody, Masson's trichrome, CD68 antibody, MMP-9 antibody, and OPN antibody, respectively, following various therapeutic procedures (n = 6, scale bar: 500 μm). ( I-M ) Quantitative data of necrotic core area ( I ), collagen area ( J ), VSMC area ( K ), macrophage-foam cell area ( L ), and MMP-9 level ( M ) in aortic root sections. ( N ) Representative TEM images of LDs in the aortic root and arch of apoE −/− mice following various treatments (scale bar: 1 μm). The green arrow indicates elastic fibers. ( O-R ) Quantification of lipid droplet number and average area per cell section, n = 6. ∗ P < 0.05, ∗∗ P < 0.01, ∗∗∗ P < 0.001, and ∗∗∗∗ P < 0.0001.

    Article Snippet: Mouse macrophage cell line (RAW264.7) was obtained from the American Type Culture Collection, USA.

    Techniques: In Vivo, Staining

    Schematic of the anti-atherosclerotic mechanism of OPN-HMCN@MLT. ( A ) The study commenced with the synthesis of mesoporous carbon nanospheres (MCN) functionalized with an OPN-binding peptide and hyaluronic acid to construct the OPN-HMCN nanoplatform. The OPN-binding peptide was designed to recognize OPN enriched in the extracellular matrix and on the surface of foam cells, thereby enabling selective accumulation in OPN-rich pathological regions. Following OPN recognition, OPN-HMCN@MLT undergoes CD44-dependent endocytosis. Melatonin (MLT), a lipid autophagy–promoting agent, was subsequently encapsulated within the nanocarrier to form OPN-HMCN@MLT. Firstly, the released MLT can bind to and upregulate the expression of PPARα and PPARγ, which then promote the expression of downstream genes (ABCA1, ABCG1, ACOX-1, and CTP1A) and trigger the lipophagy. ( B ) Subsequently, its lipophagy-enhancing effects, including ABCA1/G1-mediated cholesterol efflux and CTP1A/ACOX-1-mediated mitochondrial fatty acid oxidation, were studied to confirm the reversal of foam cell formation. ( C ) These effects eventually promote foam cells to reverse into macrophages. Abbreviations: MCN, mesoporous carbon nanoparticle; OPN, osteopontin; MLT, melatonin; LDL, low-density lipoprotein; ox-LDL, oxidized low-density lipoprotein; PA, Photoacoustic.

    Journal: Bioactive Materials

    Article Title: A foam cell-targeted lipophagy restoration strategy stabilizes vulnerable atherosclerotic plaques

    doi: 10.1016/j.bioactmat.2026.02.041

    Figure Lengend Snippet: Schematic of the anti-atherosclerotic mechanism of OPN-HMCN@MLT. ( A ) The study commenced with the synthesis of mesoporous carbon nanospheres (MCN) functionalized with an OPN-binding peptide and hyaluronic acid to construct the OPN-HMCN nanoplatform. The OPN-binding peptide was designed to recognize OPN enriched in the extracellular matrix and on the surface of foam cells, thereby enabling selective accumulation in OPN-rich pathological regions. Following OPN recognition, OPN-HMCN@MLT undergoes CD44-dependent endocytosis. Melatonin (MLT), a lipid autophagy–promoting agent, was subsequently encapsulated within the nanocarrier to form OPN-HMCN@MLT. Firstly, the released MLT can bind to and upregulate the expression of PPARα and PPARγ, which then promote the expression of downstream genes (ABCA1, ABCG1, ACOX-1, and CTP1A) and trigger the lipophagy. ( B ) Subsequently, its lipophagy-enhancing effects, including ABCA1/G1-mediated cholesterol efflux and CTP1A/ACOX-1-mediated mitochondrial fatty acid oxidation, were studied to confirm the reversal of foam cell formation. ( C ) These effects eventually promote foam cells to reverse into macrophages. Abbreviations: MCN, mesoporous carbon nanoparticle; OPN, osteopontin; MLT, melatonin; LDL, low-density lipoprotein; ox-LDL, oxidized low-density lipoprotein; PA, Photoacoustic.

    Article Snippet: Mouse macrophage cell line (RAW264.7) was obtained from the American Type Culture Collection, USA.

    Techniques: Binding Assay, Construct, Expressing

    Hypoxia impacts gene expression and signaling pathways in GBM cells (A) Hypoxia-responsive pathways were identified using Partek Flow software under double filter MI50 and fold change >+1.5 criteria. (B) Expression of candidate genes in PBT030 cells following 48-h hypoxia exposure compared to cells under normoxic conditions. (C) Expression of candidate genes in U-87 MG cells after 48 h of hypoxia compared to cells maintained under normoxic conditions. Representative bar graphs are derived from at least two independent experiments, with 28S used as the reference gene for all experiments.

    Journal: Molecular Therapy Oncology

    Article Title: CBX6 and CA9 as predictive indicators and therapeutic targets in GBM

    doi: 10.1016/j.omton.2026.201159

    Figure Lengend Snippet: Hypoxia impacts gene expression and signaling pathways in GBM cells (A) Hypoxia-responsive pathways were identified using Partek Flow software under double filter MI50 and fold change >+1.5 criteria. (B) Expression of candidate genes in PBT030 cells following 48-h hypoxia exposure compared to cells under normoxic conditions. (C) Expression of candidate genes in U-87 MG cells after 48 h of hypoxia compared to cells maintained under normoxic conditions. Representative bar graphs are derived from at least two independent experiments, with 28S used as the reference gene for all experiments.

    Article Snippet: U-251 MG and U-87 MG cell lines were purchased from the American Type Culture Collection (ATCC).

    Techniques: Gene Expression, Protein-Protein interactions, Software, Expressing, Derivative Assay

    MMP12 silencing inhibited M2 macrophage polarization. THP-1 cells were differentiated into M0 macrophages (THP-1 M0) by treatment with 100 ng/mL PMA for 24 h. (A) Flow cytometry was used to quantify the number of CD68-positive cells. Subsequently, KYSE150 cells were co-cultured with the THP-1-derived macrophages using a Transwell system. (B) The mRNA levels of IL-10, Arg-1, and TGF-β were detected by qRT-PCR. (C) Flow cytometry was used to quantify the number of CD206-positive macrophages. (D) Cell migration analysis by transwell migration assay. ∗ P < 0.05, ∗∗ P < 0.01 and ∗∗∗ P < 0.001.

    Journal: Regenerative Therapy

    Article Title: WTAP stabilizes MMP12 expression to promote the malignant phenotypes of esophageal cancer cells

    doi: 10.1016/j.reth.2026.101101

    Figure Lengend Snippet: MMP12 silencing inhibited M2 macrophage polarization. THP-1 cells were differentiated into M0 macrophages (THP-1 M0) by treatment with 100 ng/mL PMA for 24 h. (A) Flow cytometry was used to quantify the number of CD68-positive cells. Subsequently, KYSE150 cells were co-cultured with the THP-1-derived macrophages using a Transwell system. (B) The mRNA levels of IL-10, Arg-1, and TGF-β were detected by qRT-PCR. (C) Flow cytometry was used to quantify the number of CD206-positive macrophages. (D) Cell migration analysis by transwell migration assay. ∗ P < 0.05, ∗∗ P < 0.01 and ∗∗∗ P < 0.001.

    Article Snippet: For immunophenotyping, single-cell suspensions of both THP-1 and THP-1-M0 cells were labeled with an anti-CD68 antibody (E-AB-F1299L, Elabscience, Wuhan, China).

    Techniques: Flow Cytometry, Cell Culture, Derivative Assay, Quantitative RT-PCR, Migration, Transwell Migration Assay

    WTAP silencing inhibited M2 macrophage polarization by regulating MMP12. THP-1 cells were differentiated into M0 macrophages (THP-1 M0) by treatment with 100 ng/mL PMA for 24 h. KYSE150 cells were transfected with si-WTAP, MMP12 overexpression plasmid, or the matched control (si-NC and oe-NC). Subsequently, these KYSE150 cells were co-cultured with the THP-1-derived macrophages using a Transwell system. (A) The mRNA levels of IL-10, Arg-1, and TGF-β were detected by qRT-PCR. (B) Flow cytometry was used to quantify the number of CD206-positive macrophages. (C) Cell migration analysis by transwell migration assay. ∗ P < 0.05, ∗∗ P < 0.01 and ∗∗∗ P < 0.001.

    Journal: Regenerative Therapy

    Article Title: WTAP stabilizes MMP12 expression to promote the malignant phenotypes of esophageal cancer cells

    doi: 10.1016/j.reth.2026.101101

    Figure Lengend Snippet: WTAP silencing inhibited M2 macrophage polarization by regulating MMP12. THP-1 cells were differentiated into M0 macrophages (THP-1 M0) by treatment with 100 ng/mL PMA for 24 h. KYSE150 cells were transfected with si-WTAP, MMP12 overexpression plasmid, or the matched control (si-NC and oe-NC). Subsequently, these KYSE150 cells were co-cultured with the THP-1-derived macrophages using a Transwell system. (A) The mRNA levels of IL-10, Arg-1, and TGF-β were detected by qRT-PCR. (B) Flow cytometry was used to quantify the number of CD206-positive macrophages. (C) Cell migration analysis by transwell migration assay. ∗ P < 0.05, ∗∗ P < 0.01 and ∗∗∗ P < 0.001.

    Article Snippet: For immunophenotyping, single-cell suspensions of both THP-1 and THP-1-M0 cells were labeled with an anti-CD68 antibody (E-AB-F1299L, Elabscience, Wuhan, China).

    Techniques: Transfection, Over Expression, Plasmid Preparation, Control, Cell Culture, Derivative Assay, Quantitative RT-PCR, Flow Cytometry, Migration, Transwell Migration Assay

    PTEN -siRNA nanoparticle transfection enables efficient gene silencing with minimal impact on neuron health (A) PTEN -siRNA nanoparticles (100 nM) demonstrated highly efficient knockdown of target PTEN mRNA in differentiated NSC34 neurons, with peak knockdown on Day 3 for the delivered siRNA [t(2) = −4.840, p = 0.02007; one-tailed] with expression levels returning to baseline by Day 7 [t(2) = 0.05373, p = 0.5190; one-tailed]. RNA fold change and associated error was assessed using the 2 −ΔΔCt method and normalized to GAPDH as per (B) Treatment of neurons with PTEN- siRNA nanoparticles at 100 nM had a non-significant effect on the metabolic activity at 3 [t(2) = 0.6370, p = 0.5893, 95 % CI 74.4820<x <134.3874] and 7 days [t(2) = −3.390, p = 0.07708, 95 % CI -66.21<x<104.0] post-transfection. (C – F) Transfection of PTEN -siRNA nanoparticles does not affect neuronal morphology. Control and PTEN -siRNA nanoparticle treated neurons have a similar distribution, density, and morphology compared to control neurons (C, D). Higher magnification images showed that all neurons (control and treated) possessed a typical neuronal morphology with several neurites extending from each cell body (E, F). All cells were stained for F-actin (green = phalloidin) and nuclei (blue = DAPI). Scale Bar in (C, D): 100 μm; Scale Bar in (E, F): 50 μm. Significance code: ns = p > 0.1; • = p ≤ 0.1, ∗ = p ≤ 0.05, ∗∗ = p ≤ 0.01, ∗∗∗ = p ≤ 0.001, ∗∗∗∗ = p ≤ 0.0001.

    Journal: Bioactive Materials

    Article Title: Development of a PTEN -siRNA activated scaffold to promote axonal regrowth following spinal cord injury

    doi: 10.1016/j.bioactmat.2026.01.022

    Figure Lengend Snippet: PTEN -siRNA nanoparticle transfection enables efficient gene silencing with minimal impact on neuron health (A) PTEN -siRNA nanoparticles (100 nM) demonstrated highly efficient knockdown of target PTEN mRNA in differentiated NSC34 neurons, with peak knockdown on Day 3 for the delivered siRNA [t(2) = −4.840, p = 0.02007; one-tailed] with expression levels returning to baseline by Day 7 [t(2) = 0.05373, p = 0.5190; one-tailed]. RNA fold change and associated error was assessed using the 2 −ΔΔCt method and normalized to GAPDH as per (B) Treatment of neurons with PTEN- siRNA nanoparticles at 100 nM had a non-significant effect on the metabolic activity at 3 [t(2) = 0.6370, p = 0.5893, 95 % CI 74.4820 0.1; • = p ≤ 0.1, ∗ = p ≤ 0.05, ∗∗ = p ≤ 0.01, ∗∗∗ = p ≤ 0.001, ∗∗∗∗ = p ≤ 0.0001.

    Article Snippet: NSC34 neuronal culture and transfections: NSC34 neurons (Cedarlane Cat No. CLU140), a hybrid cell line produced by the fusion of motor neuron enriched embryonic mouse spinal cord cells with mouse neuroblastoma cells, were cultured in growth medium Dulbecco's Modified Eagle Medium (DMEM; Sigma-Aldrich, Ireland) supplemented with 10 % fetal bovine serum (FBS; Labtech UK), 1 % (v/v) L-Glutamine (Sigma-Aldrich, Ireland), and 1 % (v/v) Penicillin- Streptomycin Solution (Sigma-Aldrich, Ireland) in a T-175 cell culture flask (37 °C, 5 % CO 2 ).

    Techniques: Transfection, Knockdown, One-tailed Test, Expressing, Activity Assay, Control, Staining

    Scaffold-mediated siRNA delivery does not affect the viability of neurons, results in prolonged downregulation of PTEN, and stimulates increased expression of BCL2 and GAP43 mRNA . (A) The metabolic activity of NSC34 neurons cultured on PTEN -siRNA activated scaffolds peaked by day 3 post-transfection [t(2) = 4.0599, p = 0.05565, 95 % CI 93.954<x<308.3], decreased by day 7 [t(2) = −15.068, p = 0.004375, 95 % CI 49.7157<x<72.05] and was similar to control levels by day 21 [t(2) = −0.1042, p = 0.9265, 95 % CI 83.23<x<116.0]. Metabolic activity normalization was performed relative to the untreated cells. (B) LDH assay revealed a consistent but small increase in cell stress over a span of 21 days. (C – D) Analysis of PTEN gene expression in scaffold transfected neurons over 21 days showed a significant decrease in expression levels [t(4) = −3.2927, p = 0.01507; one-tailed] 3 days after transfection that was then followed by a gradual return toward untreated control levels denoted by the blue regression line which approaches the red untreated control line after 21 days. (E – F) The change in BCL2 expression 3-, 7-, and 21-days post-transfection showed a significant initial elevation [t(4) = 2.092, p = 0.05227, one-tailed], followed by a gradual reduction converging toward untreated control levels. (G – H). Similarly, GAP43 expression was characterised by of an initial significant rise [t(4) = 2.1748, p = 0.04765, one-tailed] in levels that was followed by a decrease over the 21-day culture period. Significance code: ns = p > 0.1; • = p ≤ 0.1, ∗ = p ≤ 0.05, ∗∗ = p ≤ 0.01, ∗∗∗ = p ≤ 0.001, ∗∗∗∗ = p ≤ 0.0001.

    Journal: Bioactive Materials

    Article Title: Development of a PTEN -siRNA activated scaffold to promote axonal regrowth following spinal cord injury

    doi: 10.1016/j.bioactmat.2026.01.022

    Figure Lengend Snippet: Scaffold-mediated siRNA delivery does not affect the viability of neurons, results in prolonged downregulation of PTEN, and stimulates increased expression of BCL2 and GAP43 mRNA . (A) The metabolic activity of NSC34 neurons cultured on PTEN -siRNA activated scaffolds peaked by day 3 post-transfection [t(2) = 4.0599, p = 0.05565, 95 % CI 93.954 0.1; • = p ≤ 0.1, ∗ = p ≤ 0.05, ∗∗ = p ≤ 0.01, ∗∗∗ = p ≤ 0.001, ∗∗∗∗ = p ≤ 0.0001.

    Article Snippet: NSC34 neuronal culture and transfections: NSC34 neurons (Cedarlane Cat No. CLU140), a hybrid cell line produced by the fusion of motor neuron enriched embryonic mouse spinal cord cells with mouse neuroblastoma cells, were cultured in growth medium Dulbecco's Modified Eagle Medium (DMEM; Sigma-Aldrich, Ireland) supplemented with 10 % fetal bovine serum (FBS; Labtech UK), 1 % (v/v) L-Glutamine (Sigma-Aldrich, Ireland), and 1 % (v/v) Penicillin- Streptomycin Solution (Sigma-Aldrich, Ireland) in a T-175 cell culture flask (37 °C, 5 % CO 2 ).

    Techniques: Expressing, Activity Assay, Cell Culture, Transfection, Control, Lactate Dehydrogenase Assay, Gene Expression, One-tailed Test

    Micronucleus test of Kratom leaf extract after 4 h exposure with S9 in TK6 cells. Results are the mean ± SD of 3 independent experiments. Statistical testing with one-way ANOVA and Tukey’s post-hoc test (* p < 0.05).

    Journal: Toxicology Reports

    Article Title: Genotoxicity risk assessment of a 7-hydroxymitragynine-enriched Kratom preparation: An integrated in silico and in vitro approach

    doi: 10.1016/j.toxrep.2026.102206

    Figure Lengend Snippet: Micronucleus test of Kratom leaf extract after 4 h exposure with S9 in TK6 cells. Results are the mean ± SD of 3 independent experiments. Statistical testing with one-way ANOVA and Tukey’s post-hoc test (* p < 0.05).

    Article Snippet: The human B lymphoblastoid cell line (TK6) (CRL-8015; batch No. 70045146), purchased from ATCC, was cultured in RPMI 1640 medium supplemented with 10 % fetal bovine serum (FBS) and 1 % penicillin/streptomycin.

    Techniques:

    Micronucleus test of Kratom leaf extract after 4 h exposure without S9 in TK6 cells. Results are the mean ± SD of 3 independent experiments. Statistical testing with one-way ANOVA and Tukey’s post-hoc test (* p < 0.05).

    Journal: Toxicology Reports

    Article Title: Genotoxicity risk assessment of a 7-hydroxymitragynine-enriched Kratom preparation: An integrated in silico and in vitro approach

    doi: 10.1016/j.toxrep.2026.102206

    Figure Lengend Snippet: Micronucleus test of Kratom leaf extract after 4 h exposure without S9 in TK6 cells. Results are the mean ± SD of 3 independent experiments. Statistical testing with one-way ANOVA and Tukey’s post-hoc test (* p < 0.05).

    Article Snippet: The human B lymphoblastoid cell line (TK6) (CRL-8015; batch No. 70045146), purchased from ATCC, was cultured in RPMI 1640 medium supplemented with 10 % fetal bovine serum (FBS) and 1 % penicillin/streptomycin.

    Techniques:

    Micronucleus test of Kratom leaf extract after 24 h exposure without S9 in TK6 cells. Results are the mean ± SD of 3 independent experiments. Statistical testing with one-way ANOVA and Tukey’s post-hoc test (* p < 0.05).

    Journal: Toxicology Reports

    Article Title: Genotoxicity risk assessment of a 7-hydroxymitragynine-enriched Kratom preparation: An integrated in silico and in vitro approach

    doi: 10.1016/j.toxrep.2026.102206

    Figure Lengend Snippet: Micronucleus test of Kratom leaf extract after 24 h exposure without S9 in TK6 cells. Results are the mean ± SD of 3 independent experiments. Statistical testing with one-way ANOVA and Tukey’s post-hoc test (* p < 0.05).

    Article Snippet: The human B lymphoblastoid cell line (TK6) (CRL-8015; batch No. 70045146), purchased from ATCC, was cultured in RPMI 1640 medium supplemented with 10 % fetal bovine serum (FBS) and 1 % penicillin/streptomycin.

    Techniques: