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mouse anti casp8 antibody  (Proteintech)


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    Proteintech mouse anti casp8 antibody
    Association of STAT1 with PTX resistance. (A) Analysis of the biological functions of STAT1. High STAT1 expression (expression level >80th percentile) based on pan-cancer transcriptomics data was associated with enriched pathways. Horizontal coordinates indicate the different types of cancer in The Cancer Genome Atlas and vertical coordinates indicate the names of cell biological functions. The significance of each enrichment result was determined using the default setting. (B) Gene Set Enrichment Analysis of 'HALLMARK_APOPTOSIS' between STAT1 high and low expression samples of ovarian cancer (expression level >80th and <20th percentile, respectively). (C) Effect of apoptosis inhibitor Z-VAD-FMK in STAT1-overexpressing PTX-resistant cells. SK3R-PTX, OV3R-PTX and A2780-PTX cells were stably infected with empty vector, STAT1α or STAT1β plasmids in the presence of PTX, followed by 20 μ M Z-VAD-FMK or solvent DMSO treatment for 48 h. Cell viability was detected using a Cell Counting Kit-8 assay. Data were normalized using reads from the empty vector group. Differences among multiple groups were analyzed by one-way ANOVA followed by Tukey's Honestly Significant Difference test. Data are presented as the mean ± SD (n=5). ** P<0.01; *** P<0.001 (oe-STAT1α/β vs. Vector). (D) Analysis of genes closely related to apoptotic pathways obtained after TFoTF prediction and screening of the apoptosis gene set ('HALLMARK_APOPTOSIS'). Information about these genes is shown in the table on the right. The scatterplot on the left shows the visualization of the TFoTF prediction outcomes for these genes. The horizontal coordinate indicates the R score based on TFoTF and the vertical coordinate indicates the PWM score ( k max1 ). The red circles denote genes in the extrinsic apoptosis pathway, and the blue circles denote genes in the intrinsic apoptosis pathway. (E) Correlation of <t>CASP8</t> and FAS expression with cellular PTX resistance. The significance of each regression coefficient was determined using the Wald test with a t-distribution using the SciPy Python package. (F) Analysis and screening of STAT1-targeted PTX resistance-associated apoptotic genes. In the bubble plot, the horizontal coordinate indicates the Pearson correlation coefficient between the target gene of STAT1 and PTX resistance. The vertical coordinate indicates the statistical significance of the correlation. The red horizontal dashed line indicates the position of the regression P-value of 0.05. The size of each bubble indicates the R score based on TFoTF. The color depth of each bubble indicates the PWM score based on TFoTF ( k max1 ). CASP8, <t>caspase-8;</t> FAS, Fas cell surface death receptor; NES, normalized enrichment score; NOM_p_val, normalized P-value; ns, not significant; OD, optical density; oe, overexpression vector; PTX, paclitaxel; PWM, position weight matrix; r, R-value; TFoTF, Target Finder of Transcription Factor.
    Mouse Anti Casp8 Antibody, supplied by Proteintech, used in various techniques. Bioz Stars score: 96/100, based on 349 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/mouse anti casp8 antibody/product/Proteintech
    Average 96 stars, based on 349 article reviews
    mouse anti casp8 antibody - by Bioz Stars, 2026-03
    96/100 stars

    Images

    1) Product Images from "Regulation and reversal of paclitaxel resistance via the STAT1-mediated apoptotic pathway in ovarian cancer"

    Article Title: Regulation and reversal of paclitaxel resistance via the STAT1-mediated apoptotic pathway in ovarian cancer

    Journal: International Journal of Oncology

    doi: 10.3892/ijo.2025.5832

    Association of STAT1 with PTX resistance. (A) Analysis of the biological functions of STAT1. High STAT1 expression (expression level >80th percentile) based on pan-cancer transcriptomics data was associated with enriched pathways. Horizontal coordinates indicate the different types of cancer in The Cancer Genome Atlas and vertical coordinates indicate the names of cell biological functions. The significance of each enrichment result was determined using the default setting. (B) Gene Set Enrichment Analysis of 'HALLMARK_APOPTOSIS' between STAT1 high and low expression samples of ovarian cancer (expression level >80th and <20th percentile, respectively). (C) Effect of apoptosis inhibitor Z-VAD-FMK in STAT1-overexpressing PTX-resistant cells. SK3R-PTX, OV3R-PTX and A2780-PTX cells were stably infected with empty vector, STAT1α or STAT1β plasmids in the presence of PTX, followed by 20 μ M Z-VAD-FMK or solvent DMSO treatment for 48 h. Cell viability was detected using a Cell Counting Kit-8 assay. Data were normalized using reads from the empty vector group. Differences among multiple groups were analyzed by one-way ANOVA followed by Tukey's Honestly Significant Difference test. Data are presented as the mean ± SD (n=5). ** P<0.01; *** P<0.001 (oe-STAT1α/β vs. Vector). (D) Analysis of genes closely related to apoptotic pathways obtained after TFoTF prediction and screening of the apoptosis gene set ('HALLMARK_APOPTOSIS'). Information about these genes is shown in the table on the right. The scatterplot on the left shows the visualization of the TFoTF prediction outcomes for these genes. The horizontal coordinate indicates the R score based on TFoTF and the vertical coordinate indicates the PWM score ( k max1 ). The red circles denote genes in the extrinsic apoptosis pathway, and the blue circles denote genes in the intrinsic apoptosis pathway. (E) Correlation of CASP8 and FAS expression with cellular PTX resistance. The significance of each regression coefficient was determined using the Wald test with a t-distribution using the SciPy Python package. (F) Analysis and screening of STAT1-targeted PTX resistance-associated apoptotic genes. In the bubble plot, the horizontal coordinate indicates the Pearson correlation coefficient between the target gene of STAT1 and PTX resistance. The vertical coordinate indicates the statistical significance of the correlation. The red horizontal dashed line indicates the position of the regression P-value of 0.05. The size of each bubble indicates the R score based on TFoTF. The color depth of each bubble indicates the PWM score based on TFoTF ( k max1 ). CASP8, caspase-8; FAS, Fas cell surface death receptor; NES, normalized enrichment score; NOM_p_val, normalized P-value; ns, not significant; OD, optical density; oe, overexpression vector; PTX, paclitaxel; PWM, position weight matrix; r, R-value; TFoTF, Target Finder of Transcription Factor.
    Figure Legend Snippet: Association of STAT1 with PTX resistance. (A) Analysis of the biological functions of STAT1. High STAT1 expression (expression level >80th percentile) based on pan-cancer transcriptomics data was associated with enriched pathways. Horizontal coordinates indicate the different types of cancer in The Cancer Genome Atlas and vertical coordinates indicate the names of cell biological functions. The significance of each enrichment result was determined using the default setting. (B) Gene Set Enrichment Analysis of 'HALLMARK_APOPTOSIS' between STAT1 high and low expression samples of ovarian cancer (expression level >80th and <20th percentile, respectively). (C) Effect of apoptosis inhibitor Z-VAD-FMK in STAT1-overexpressing PTX-resistant cells. SK3R-PTX, OV3R-PTX and A2780-PTX cells were stably infected with empty vector, STAT1α or STAT1β plasmids in the presence of PTX, followed by 20 μ M Z-VAD-FMK or solvent DMSO treatment for 48 h. Cell viability was detected using a Cell Counting Kit-8 assay. Data were normalized using reads from the empty vector group. Differences among multiple groups were analyzed by one-way ANOVA followed by Tukey's Honestly Significant Difference test. Data are presented as the mean ± SD (n=5). ** P<0.01; *** P<0.001 (oe-STAT1α/β vs. Vector). (D) Analysis of genes closely related to apoptotic pathways obtained after TFoTF prediction and screening of the apoptosis gene set ('HALLMARK_APOPTOSIS'). Information about these genes is shown in the table on the right. The scatterplot on the left shows the visualization of the TFoTF prediction outcomes for these genes. The horizontal coordinate indicates the R score based on TFoTF and the vertical coordinate indicates the PWM score ( k max1 ). The red circles denote genes in the extrinsic apoptosis pathway, and the blue circles denote genes in the intrinsic apoptosis pathway. (E) Correlation of CASP8 and FAS expression with cellular PTX resistance. The significance of each regression coefficient was determined using the Wald test with a t-distribution using the SciPy Python package. (F) Analysis and screening of STAT1-targeted PTX resistance-associated apoptotic genes. In the bubble plot, the horizontal coordinate indicates the Pearson correlation coefficient between the target gene of STAT1 and PTX resistance. The vertical coordinate indicates the statistical significance of the correlation. The red horizontal dashed line indicates the position of the regression P-value of 0.05. The size of each bubble indicates the R score based on TFoTF. The color depth of each bubble indicates the PWM score based on TFoTF ( k max1 ). CASP8, caspase-8; FAS, Fas cell surface death receptor; NES, normalized enrichment score; NOM_p_val, normalized P-value; ns, not significant; OD, optical density; oe, overexpression vector; PTX, paclitaxel; PWM, position weight matrix; r, R-value; TFoTF, Target Finder of Transcription Factor.

    Techniques Used: Expressing, Stable Transfection, Infection, Plasmid Preparation, Solvent, Cell Counting, Over Expression

    Effect of PTX on CASP8, FAS and STAT1 expression in time-course and dose-dependent experiments, and effect of STAT1 on apoptosis. mRNA expression levels of CASP8, FAS, t-STAT1, STAT1α and STAT1β were detected by reverse transcription-quantitative PCR in (A) OVACR-3 and (B) A2780 cells after treatment with 0.001, 0.01 and 0.1 μ M PTX for 6, 12, 18 and 24 h. Expression values for each group were normalized using β-actin as an internal reference. Differences among multiple groups were analyzed using one-way ANOVA followed by Tukey's Honestly Significant Difference test. Data are presented as the mean ± SD (n=3). (C) Results of linear trend test for changes in (A). The vertical coordinate indicates the concentration of PTX, and the horizontal coordinate indicates the genes. The color of the bubble represents the slope of the change trend, while the size of the bubble represents the statistical significance. * P<0.05; ** P<0.01; *** P<0.001; **** P<0.0001. (D) Results of linear trend test for changes in (B). The vertical coordinate indicates the concentration of PTX, and the horizontal coordinate indicates the genes. The color of the bubble represents the slope of the change trend, while the size represents the statistical significance. * P<0.05; ** P<0.01; *** P<0.001; **** P<0.0001. Detection of apoptosis in (E) OV3R-PTX and (F) A2780-PTX cells using flow cytometry. OV3R-PTX and A2780-PTX cells were infected with either oe-STAT1α or oe-STAT1β in the presence or absence of 0.1, 1 and 10 μ M PTX. Quantification of apoptotic cells based on flow cytometry in STAT1α/β-overexpressing (G) OV3R-PTX and (H) A2780-PTX cells in the presence or absence of PTX. Data were evaluated and analyzed using ModFit software and are presented as the mean ± SD (n=3). * P<0.05; ** P<0.01; *** P<0.001 vs. 6 h in (A) and (B) and vs. oe-NC in (G) and (H). CASP8, caspase-8; FAS, Fas cell surface death receptor; NC, negative control; ns, not significant; oe, overexpression vector; PTX, paclitaxel; t-STAT1, total STAT1.
    Figure Legend Snippet: Effect of PTX on CASP8, FAS and STAT1 expression in time-course and dose-dependent experiments, and effect of STAT1 on apoptosis. mRNA expression levels of CASP8, FAS, t-STAT1, STAT1α and STAT1β were detected by reverse transcription-quantitative PCR in (A) OVACR-3 and (B) A2780 cells after treatment with 0.001, 0.01 and 0.1 μ M PTX for 6, 12, 18 and 24 h. Expression values for each group were normalized using β-actin as an internal reference. Differences among multiple groups were analyzed using one-way ANOVA followed by Tukey's Honestly Significant Difference test. Data are presented as the mean ± SD (n=3). (C) Results of linear trend test for changes in (A). The vertical coordinate indicates the concentration of PTX, and the horizontal coordinate indicates the genes. The color of the bubble represents the slope of the change trend, while the size of the bubble represents the statistical significance. * P<0.05; ** P<0.01; *** P<0.001; **** P<0.0001. (D) Results of linear trend test for changes in (B). The vertical coordinate indicates the concentration of PTX, and the horizontal coordinate indicates the genes. The color of the bubble represents the slope of the change trend, while the size represents the statistical significance. * P<0.05; ** P<0.01; *** P<0.001; **** P<0.0001. Detection of apoptosis in (E) OV3R-PTX and (F) A2780-PTX cells using flow cytometry. OV3R-PTX and A2780-PTX cells were infected with either oe-STAT1α or oe-STAT1β in the presence or absence of 0.1, 1 and 10 μ M PTX. Quantification of apoptotic cells based on flow cytometry in STAT1α/β-overexpressing (G) OV3R-PTX and (H) A2780-PTX cells in the presence or absence of PTX. Data were evaluated and analyzed using ModFit software and are presented as the mean ± SD (n=3). * P<0.05; ** P<0.01; *** P<0.001 vs. 6 h in (A) and (B) and vs. oe-NC in (G) and (H). CASP8, caspase-8; FAS, Fas cell surface death receptor; NC, negative control; ns, not significant; oe, overexpression vector; PTX, paclitaxel; t-STAT1, total STAT1.

    Techniques Used: Expressing, Reverse Transcription, Real-time Polymerase Chain Reaction, Concentration Assay, Flow Cytometry, Infection, Software, Negative Control, Over Expression, Plasmid Preparation

    Effect of STAT1 on CASP8 and FAS expression in PTX-resistant cells. Detection of (A) CASP8 and (B) FAS mRNA expression in oe-STAT1α- and oe-STAT1β-lentivirus-infected SK3R-PTX, OV3R-PTX and A2780-PTX cells by reverse transcription-quantitative PCR. Expression values for each group were normalized using β-actin as an internal reference. Differences between the two groups were analyzed using Student's t-test. Data are presented as the mean ± SD (n=3). * P<0.05; ** P<0.01; *** P<0.001; **** P<0.0001. Detection of STAT1, (C) CASP8 and (D) FAS protein expression in oe-STAT1α- and oe-STAT1β-lentivirus-infected SK3R-PTX, OV3R-PTX and A2780-PTX cells by western blotting. The specific antibodies recognized a specific target. STAT1α, 91 kDa; STAT1β, 84 kDa; pre-CASP8, 57 kDa; cleaved-CASP8, 43 kDa; FAS, 40-50 kDa; β-actin, 42 kDa. The numbers under the bands indicate the densitometric value of the protein (total CASP3 and FAS) after normalization. Detection of STAT1, (E) CASP8 and (F) FAS protein expression in oe-STAT1α- and oe-STAT1β-lentivirus-infected SK3R-PTX, OV3R-PTX and A2780-PTX cells by immunofluorescence staining. The immunofluorescent signals were detected after the induction of STAT1α and STAT1β using doxycycline. DAPI was used to stain the nucleus. Red scale bar, 100 μ m. CASP8, caspase-8; FAS, Fas cell surface death receptor; ns, not significant; oe, overexpression vector; pre-CASP8, caspase-8 precursor; cleaved-CASP8, cleaved caspase-8; PTX, paclitaxel.
    Figure Legend Snippet: Effect of STAT1 on CASP8 and FAS expression in PTX-resistant cells. Detection of (A) CASP8 and (B) FAS mRNA expression in oe-STAT1α- and oe-STAT1β-lentivirus-infected SK3R-PTX, OV3R-PTX and A2780-PTX cells by reverse transcription-quantitative PCR. Expression values for each group were normalized using β-actin as an internal reference. Differences between the two groups were analyzed using Student's t-test. Data are presented as the mean ± SD (n=3). * P<0.05; ** P<0.01; *** P<0.001; **** P<0.0001. Detection of STAT1, (C) CASP8 and (D) FAS protein expression in oe-STAT1α- and oe-STAT1β-lentivirus-infected SK3R-PTX, OV3R-PTX and A2780-PTX cells by western blotting. The specific antibodies recognized a specific target. STAT1α, 91 kDa; STAT1β, 84 kDa; pre-CASP8, 57 kDa; cleaved-CASP8, 43 kDa; FAS, 40-50 kDa; β-actin, 42 kDa. The numbers under the bands indicate the densitometric value of the protein (total CASP3 and FAS) after normalization. Detection of STAT1, (E) CASP8 and (F) FAS protein expression in oe-STAT1α- and oe-STAT1β-lentivirus-infected SK3R-PTX, OV3R-PTX and A2780-PTX cells by immunofluorescence staining. The immunofluorescent signals were detected after the induction of STAT1α and STAT1β using doxycycline. DAPI was used to stain the nucleus. Red scale bar, 100 μ m. CASP8, caspase-8; FAS, Fas cell surface death receptor; ns, not significant; oe, overexpression vector; pre-CASP8, caspase-8 precursor; cleaved-CASP8, cleaved caspase-8; PTX, paclitaxel.

    Techniques Used: Expressing, Infection, Reverse Transcription, Real-time Polymerase Chain Reaction, Western Blot, Immunofluorescence, Staining, Over Expression, Plasmid Preparation

    Detection of the interaction of STAT1 with CASP8 and FAS. (A) Prediction of STAT1 binding site sequence. The PWM of STAT1 was used to predict the binding site in the promoter region. The visualized sequence logo of the PWM is illustrated at the top, and the specific values of the PWM are shown in the table at the bottom. The x-axis represents the position in the sequence alignment. The y-axis represents the information content in bits. A higher value means that position is highly conserved. (B) Prediction of STAT1 binding sites in the CASP8 and FAS promoter regions using PWM analysis. Blue wireframes and arrows indicate high-scoring binding sites (four sites on the CASP8 promoter and two sites on the FAS promoter). (C) The correlation regression results of CASP8 and FAS with STAT1 in OC. The significance of each regression was determined using the Wald test with the t-distribution using the SciPy Python package. (D) Schematic diagram showing the full-length promoter (top) and three truncated fragments of CASP8 with colored squares indicating predicted binding sites and sequences. (E) Detection of STAT1 binding to CASP8 promoter DNA using dual-luciferase reporter gene assays. (F) Schematic diagram showing the full-length promoter (top) and one truncated fragment of FAS (bottom) with colored squares indicating predicted binding sites and sequences. (G) Detection of STAT1 directly binding to FAS promoter DNA using dual-luciferase reporter gene assays. 293T cells were co-transfected with a dual-luciferase reporter gene plasmid and oe-STAT1α, oe-STAT1β or empty vector. Differences among multiple groups were analyzed using one-way ANOVA followed by Tukey's Honestly Significant Difference test. Data are presented as the mean ± standard error of the mean (n=3). * P<0.05; ** P<0.01; *** P<0.001 vs. vector. (H) Schematic illustration of the regulatory mechanism of STAT1 on the reversal of PTX resistance in OC cells. In PTX-resistant cells, the expression levels of STAT1 and apoptotic factors FAS and CASP3 were low. Administration of PTX increased STAT1 expression and the overexpression of STAT1 upregulated FAS and CASP8 at the transcriptional level, thus promoting PTX-resistant cell apoptosis. CASP8, caspase-8; FAS, Fas cell surface death receptor; ns, not significant; oe, overexpression vector; OC, ovarian cancer; PTX, paclitaxel; PWM, position weight matrix; r, R-value; TSS, transcription start site.
    Figure Legend Snippet: Detection of the interaction of STAT1 with CASP8 and FAS. (A) Prediction of STAT1 binding site sequence. The PWM of STAT1 was used to predict the binding site in the promoter region. The visualized sequence logo of the PWM is illustrated at the top, and the specific values of the PWM are shown in the table at the bottom. The x-axis represents the position in the sequence alignment. The y-axis represents the information content in bits. A higher value means that position is highly conserved. (B) Prediction of STAT1 binding sites in the CASP8 and FAS promoter regions using PWM analysis. Blue wireframes and arrows indicate high-scoring binding sites (four sites on the CASP8 promoter and two sites on the FAS promoter). (C) The correlation regression results of CASP8 and FAS with STAT1 in OC. The significance of each regression was determined using the Wald test with the t-distribution using the SciPy Python package. (D) Schematic diagram showing the full-length promoter (top) and three truncated fragments of CASP8 with colored squares indicating predicted binding sites and sequences. (E) Detection of STAT1 binding to CASP8 promoter DNA using dual-luciferase reporter gene assays. (F) Schematic diagram showing the full-length promoter (top) and one truncated fragment of FAS (bottom) with colored squares indicating predicted binding sites and sequences. (G) Detection of STAT1 directly binding to FAS promoter DNA using dual-luciferase reporter gene assays. 293T cells were co-transfected with a dual-luciferase reporter gene plasmid and oe-STAT1α, oe-STAT1β or empty vector. Differences among multiple groups were analyzed using one-way ANOVA followed by Tukey's Honestly Significant Difference test. Data are presented as the mean ± standard error of the mean (n=3). * P<0.05; ** P<0.01; *** P<0.001 vs. vector. (H) Schematic illustration of the regulatory mechanism of STAT1 on the reversal of PTX resistance in OC cells. In PTX-resistant cells, the expression levels of STAT1 and apoptotic factors FAS and CASP3 were low. Administration of PTX increased STAT1 expression and the overexpression of STAT1 upregulated FAS and CASP8 at the transcriptional level, thus promoting PTX-resistant cell apoptosis. CASP8, caspase-8; FAS, Fas cell surface death receptor; ns, not significant; oe, overexpression vector; OC, ovarian cancer; PTX, paclitaxel; PWM, position weight matrix; r, R-value; TSS, transcription start site.

    Techniques Used: Binding Assay, Sequencing, Luciferase, Transfection, Plasmid Preparation, Expressing, Over Expression



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    Association of STAT1 with PTX resistance. (A) Analysis of the biological functions of STAT1. High STAT1 expression (expression level >80th percentile) based on pan-cancer transcriptomics data was associated with enriched pathways. Horizontal coordinates indicate the different types of cancer in The Cancer Genome Atlas and vertical coordinates indicate the names of cell biological functions. The significance of each enrichment result was determined using the default setting. (B) Gene Set Enrichment Analysis of 'HALLMARK_APOPTOSIS' between STAT1 high and low expression samples of ovarian cancer (expression level >80th and <20th percentile, respectively). (C) Effect of apoptosis inhibitor Z-VAD-FMK in STAT1-overexpressing PTX-resistant cells. SK3R-PTX, OV3R-PTX and A2780-PTX cells were stably infected with empty vector, STAT1α or STAT1β plasmids in the presence of PTX, followed by 20 μ M Z-VAD-FMK or solvent DMSO treatment for 48 h. Cell viability was detected using a Cell Counting Kit-8 assay. Data were normalized using reads from the empty vector group. Differences among multiple groups were analyzed by one-way ANOVA followed by Tukey's Honestly Significant Difference test. Data are presented as the mean ± SD (n=5). ** P<0.01; *** P<0.001 (oe-STAT1α/β vs. Vector). (D) Analysis of genes closely related to apoptotic pathways obtained after TFoTF prediction and screening of the apoptosis gene set ('HALLMARK_APOPTOSIS'). Information about these genes is shown in the table on the right. The scatterplot on the left shows the visualization of the TFoTF prediction outcomes for these genes. The horizontal coordinate indicates the R score based on TFoTF and the vertical coordinate indicates the PWM score ( k max1 ). The red circles denote genes in the extrinsic apoptosis pathway, and the blue circles denote genes in the intrinsic apoptosis pathway. (E) Correlation of <t>CASP8</t> and FAS expression with cellular PTX resistance. The significance of each regression coefficient was determined using the Wald test with a t-distribution using the SciPy Python package. (F) Analysis and screening of STAT1-targeted PTX resistance-associated apoptotic genes. In the bubble plot, the horizontal coordinate indicates the Pearson correlation coefficient between the target gene of STAT1 and PTX resistance. The vertical coordinate indicates the statistical significance of the correlation. The red horizontal dashed line indicates the position of the regression P-value of 0.05. The size of each bubble indicates the R score based on TFoTF. The color depth of each bubble indicates the PWM score based on TFoTF ( k max1 ). CASP8, <t>caspase-8;</t> FAS, Fas cell surface death receptor; NES, normalized enrichment score; NOM_p_val, normalized P-value; ns, not significant; OD, optical density; oe, overexpression vector; PTX, paclitaxel; PWM, position weight matrix; r, R-value; TFoTF, Target Finder of Transcription Factor.
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    Figure 5. STING activates MLKL, CASP3, and GSDME to induce PANoptosis.A-C. Immunoblot revealed the expression of different cell death effectors in LV-Con and LV-STING DLBCL cells, including the effectors of necroptosis (RIPK3, p-RIPK3, MLKL, and p-MLKL) (A), apoptosis <t>(CASP8,</t> cleaved-CASP8, CASP3, and cleaved-CASP3) (B), and pyroptosis (GSDME-FL and GSDME-N) (C). D. Interactions between CASP8, RIPK3, and ASC in LV-STING DLBCL cells were detected by CO-IP assay. E, F. Immunoblot revealed the expression of cell death effectors in WT and STING-KO DLBCL cells, including the effectors of necroptosis (RIPK3, p-RIPK3, MLKL, and p-MLKL) (E), apoptosis and pyroptosis (CASP3, cleaved-CASP3, GSDME-FL, and GSDME-N) (F). G. Immunoblot revealed the protein levels of p-RIPK3, p-MLKL, cleaved-CASP3, and GSDME-N in LY1 cells transfected with Ctrl, SAMHD1-KD, Ctrl+STING-KO, and SAMHD1-KD+STING-KO. Immunoblot images were the representation of 3 independent experiments.
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    Fusobacterium varium induces noncanonical <t>Caspase</t> <t>8</t> inflammasome activation in macrophages. Bone marrow-derived macrophages (BMDM) from healthy wild-type C57/Bl6 mice (age = 8–12 weeks) were cultured and treated with F. varium or F. prausnitzii (BMDM: bacteria = 1: 20) for 1 h. A Cytokine production in BMDM. *** p < 0.001; ns, not significant; by one-way ANOVA with Dunnett’s test. Experiments were repeated 3 times. B Immunostaining of IL-1β (red). Phalloidin (green) was used to outline BMDM. C Immunostaining of phospho P65 (pP65, red). Phalloidin (green) was used to outline BMDM. D – E Whole-cell lysis of BMDM treated with bacteria was subjected to Western blot analysis (40 μg per system). Experiments were repeated 3 times. D Expression of inflammasome markers in BMDM. E The level of inflammasome executors in BMDM. F Immunostaining of NLRP3 (red) and caspase-8 (green) to reveal the assembling of inflammasomes. G Immunostaining of GSDMD (red). Phalloidin (green) was used to outline BMDM. H Cell death was assessed with PI staining. ** P < 0.01, *** P < 0.001; by one-way ANOVA with Dunnett’s test. Experiments were repeated 3 times
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    Primary antibodies used for fluorescence immunocytochemistry reactions (ICC) and western blot reactions (WB)
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    Image Search Results


    Association of STAT1 with PTX resistance. (A) Analysis of the biological functions of STAT1. High STAT1 expression (expression level >80th percentile) based on pan-cancer transcriptomics data was associated with enriched pathways. Horizontal coordinates indicate the different types of cancer in The Cancer Genome Atlas and vertical coordinates indicate the names of cell biological functions. The significance of each enrichment result was determined using the default setting. (B) Gene Set Enrichment Analysis of 'HALLMARK_APOPTOSIS' between STAT1 high and low expression samples of ovarian cancer (expression level >80th and <20th percentile, respectively). (C) Effect of apoptosis inhibitor Z-VAD-FMK in STAT1-overexpressing PTX-resistant cells. SK3R-PTX, OV3R-PTX and A2780-PTX cells were stably infected with empty vector, STAT1α or STAT1β plasmids in the presence of PTX, followed by 20 μ M Z-VAD-FMK or solvent DMSO treatment for 48 h. Cell viability was detected using a Cell Counting Kit-8 assay. Data were normalized using reads from the empty vector group. Differences among multiple groups were analyzed by one-way ANOVA followed by Tukey's Honestly Significant Difference test. Data are presented as the mean ± SD (n=5). ** P<0.01; *** P<0.001 (oe-STAT1α/β vs. Vector). (D) Analysis of genes closely related to apoptotic pathways obtained after TFoTF prediction and screening of the apoptosis gene set ('HALLMARK_APOPTOSIS'). Information about these genes is shown in the table on the right. The scatterplot on the left shows the visualization of the TFoTF prediction outcomes for these genes. The horizontal coordinate indicates the R score based on TFoTF and the vertical coordinate indicates the PWM score ( k max1 ). The red circles denote genes in the extrinsic apoptosis pathway, and the blue circles denote genes in the intrinsic apoptosis pathway. (E) Correlation of CASP8 and FAS expression with cellular PTX resistance. The significance of each regression coefficient was determined using the Wald test with a t-distribution using the SciPy Python package. (F) Analysis and screening of STAT1-targeted PTX resistance-associated apoptotic genes. In the bubble plot, the horizontal coordinate indicates the Pearson correlation coefficient between the target gene of STAT1 and PTX resistance. The vertical coordinate indicates the statistical significance of the correlation. The red horizontal dashed line indicates the position of the regression P-value of 0.05. The size of each bubble indicates the R score based on TFoTF. The color depth of each bubble indicates the PWM score based on TFoTF ( k max1 ). CASP8, caspase-8; FAS, Fas cell surface death receptor; NES, normalized enrichment score; NOM_p_val, normalized P-value; ns, not significant; OD, optical density; oe, overexpression vector; PTX, paclitaxel; PWM, position weight matrix; r, R-value; TFoTF, Target Finder of Transcription Factor.

    Journal: International Journal of Oncology

    Article Title: Regulation and reversal of paclitaxel resistance via the STAT1-mediated apoptotic pathway in ovarian cancer

    doi: 10.3892/ijo.2025.5832

    Figure Lengend Snippet: Association of STAT1 with PTX resistance. (A) Analysis of the biological functions of STAT1. High STAT1 expression (expression level >80th percentile) based on pan-cancer transcriptomics data was associated with enriched pathways. Horizontal coordinates indicate the different types of cancer in The Cancer Genome Atlas and vertical coordinates indicate the names of cell biological functions. The significance of each enrichment result was determined using the default setting. (B) Gene Set Enrichment Analysis of 'HALLMARK_APOPTOSIS' between STAT1 high and low expression samples of ovarian cancer (expression level >80th and <20th percentile, respectively). (C) Effect of apoptosis inhibitor Z-VAD-FMK in STAT1-overexpressing PTX-resistant cells. SK3R-PTX, OV3R-PTX and A2780-PTX cells were stably infected with empty vector, STAT1α or STAT1β plasmids in the presence of PTX, followed by 20 μ M Z-VAD-FMK or solvent DMSO treatment for 48 h. Cell viability was detected using a Cell Counting Kit-8 assay. Data were normalized using reads from the empty vector group. Differences among multiple groups were analyzed by one-way ANOVA followed by Tukey's Honestly Significant Difference test. Data are presented as the mean ± SD (n=5). ** P<0.01; *** P<0.001 (oe-STAT1α/β vs. Vector). (D) Analysis of genes closely related to apoptotic pathways obtained after TFoTF prediction and screening of the apoptosis gene set ('HALLMARK_APOPTOSIS'). Information about these genes is shown in the table on the right. The scatterplot on the left shows the visualization of the TFoTF prediction outcomes for these genes. The horizontal coordinate indicates the R score based on TFoTF and the vertical coordinate indicates the PWM score ( k max1 ). The red circles denote genes in the extrinsic apoptosis pathway, and the blue circles denote genes in the intrinsic apoptosis pathway. (E) Correlation of CASP8 and FAS expression with cellular PTX resistance. The significance of each regression coefficient was determined using the Wald test with a t-distribution using the SciPy Python package. (F) Analysis and screening of STAT1-targeted PTX resistance-associated apoptotic genes. In the bubble plot, the horizontal coordinate indicates the Pearson correlation coefficient between the target gene of STAT1 and PTX resistance. The vertical coordinate indicates the statistical significance of the correlation. The red horizontal dashed line indicates the position of the regression P-value of 0.05. The size of each bubble indicates the R score based on TFoTF. The color depth of each bubble indicates the PWM score based on TFoTF ( k max1 ). CASP8, caspase-8; FAS, Fas cell surface death receptor; NES, normalized enrichment score; NOM_p_val, normalized P-value; ns, not significant; OD, optical density; oe, overexpression vector; PTX, paclitaxel; PWM, position weight matrix; r, R-value; TFoTF, Target Finder of Transcription Factor.

    Article Snippet: Cells were incubated with either rabbit anti-FAS antibody (cat. no. 13098-1-AP; dilution, 1:400; Proteintech Group, Inc.) or mouse anti-CASP8 antibody (cat. no. 66093-1-Ig; dilution, 1:400; Proteintech Group, Inc.) at 4°C for 12 h, followed by incubation with rabbit anti-STAT1 antibody (cat. no. 42H3; dilution, 1:4,000; Cell Signaling Technology, Inc.) at 4°C for another 12 h. Subsequently, the cells were treated with Alexa Fluor 594-conjugated goat anti-rabbit IgG (cat. no. 8760S; dilution, 1:1,000) or Alexa Fluor 647-conjugated goat anti-mouse IgG (cat. no. 4410S; dilution, 1:1,000) secondary antibody (Cell Signaling Technology, Inc.) for 2 h at room temperature in the dark.

    Techniques: Expressing, Stable Transfection, Infection, Plasmid Preparation, Solvent, Cell Counting, Over Expression

    Effect of PTX on CASP8, FAS and STAT1 expression in time-course and dose-dependent experiments, and effect of STAT1 on apoptosis. mRNA expression levels of CASP8, FAS, t-STAT1, STAT1α and STAT1β were detected by reverse transcription-quantitative PCR in (A) OVACR-3 and (B) A2780 cells after treatment with 0.001, 0.01 and 0.1 μ M PTX for 6, 12, 18 and 24 h. Expression values for each group were normalized using β-actin as an internal reference. Differences among multiple groups were analyzed using one-way ANOVA followed by Tukey's Honestly Significant Difference test. Data are presented as the mean ± SD (n=3). (C) Results of linear trend test for changes in (A). The vertical coordinate indicates the concentration of PTX, and the horizontal coordinate indicates the genes. The color of the bubble represents the slope of the change trend, while the size of the bubble represents the statistical significance. * P<0.05; ** P<0.01; *** P<0.001; **** P<0.0001. (D) Results of linear trend test for changes in (B). The vertical coordinate indicates the concentration of PTX, and the horizontal coordinate indicates the genes. The color of the bubble represents the slope of the change trend, while the size represents the statistical significance. * P<0.05; ** P<0.01; *** P<0.001; **** P<0.0001. Detection of apoptosis in (E) OV3R-PTX and (F) A2780-PTX cells using flow cytometry. OV3R-PTX and A2780-PTX cells were infected with either oe-STAT1α or oe-STAT1β in the presence or absence of 0.1, 1 and 10 μ M PTX. Quantification of apoptotic cells based on flow cytometry in STAT1α/β-overexpressing (G) OV3R-PTX and (H) A2780-PTX cells in the presence or absence of PTX. Data were evaluated and analyzed using ModFit software and are presented as the mean ± SD (n=3). * P<0.05; ** P<0.01; *** P<0.001 vs. 6 h in (A) and (B) and vs. oe-NC in (G) and (H). CASP8, caspase-8; FAS, Fas cell surface death receptor; NC, negative control; ns, not significant; oe, overexpression vector; PTX, paclitaxel; t-STAT1, total STAT1.

    Journal: International Journal of Oncology

    Article Title: Regulation and reversal of paclitaxel resistance via the STAT1-mediated apoptotic pathway in ovarian cancer

    doi: 10.3892/ijo.2025.5832

    Figure Lengend Snippet: Effect of PTX on CASP8, FAS and STAT1 expression in time-course and dose-dependent experiments, and effect of STAT1 on apoptosis. mRNA expression levels of CASP8, FAS, t-STAT1, STAT1α and STAT1β were detected by reverse transcription-quantitative PCR in (A) OVACR-3 and (B) A2780 cells after treatment with 0.001, 0.01 and 0.1 μ M PTX for 6, 12, 18 and 24 h. Expression values for each group were normalized using β-actin as an internal reference. Differences among multiple groups were analyzed using one-way ANOVA followed by Tukey's Honestly Significant Difference test. Data are presented as the mean ± SD (n=3). (C) Results of linear trend test for changes in (A). The vertical coordinate indicates the concentration of PTX, and the horizontal coordinate indicates the genes. The color of the bubble represents the slope of the change trend, while the size of the bubble represents the statistical significance. * P<0.05; ** P<0.01; *** P<0.001; **** P<0.0001. (D) Results of linear trend test for changes in (B). The vertical coordinate indicates the concentration of PTX, and the horizontal coordinate indicates the genes. The color of the bubble represents the slope of the change trend, while the size represents the statistical significance. * P<0.05; ** P<0.01; *** P<0.001; **** P<0.0001. Detection of apoptosis in (E) OV3R-PTX and (F) A2780-PTX cells using flow cytometry. OV3R-PTX and A2780-PTX cells were infected with either oe-STAT1α or oe-STAT1β in the presence or absence of 0.1, 1 and 10 μ M PTX. Quantification of apoptotic cells based on flow cytometry in STAT1α/β-overexpressing (G) OV3R-PTX and (H) A2780-PTX cells in the presence or absence of PTX. Data were evaluated and analyzed using ModFit software and are presented as the mean ± SD (n=3). * P<0.05; ** P<0.01; *** P<0.001 vs. 6 h in (A) and (B) and vs. oe-NC in (G) and (H). CASP8, caspase-8; FAS, Fas cell surface death receptor; NC, negative control; ns, not significant; oe, overexpression vector; PTX, paclitaxel; t-STAT1, total STAT1.

    Article Snippet: Cells were incubated with either rabbit anti-FAS antibody (cat. no. 13098-1-AP; dilution, 1:400; Proteintech Group, Inc.) or mouse anti-CASP8 antibody (cat. no. 66093-1-Ig; dilution, 1:400; Proteintech Group, Inc.) at 4°C for 12 h, followed by incubation with rabbit anti-STAT1 antibody (cat. no. 42H3; dilution, 1:4,000; Cell Signaling Technology, Inc.) at 4°C for another 12 h. Subsequently, the cells were treated with Alexa Fluor 594-conjugated goat anti-rabbit IgG (cat. no. 8760S; dilution, 1:1,000) or Alexa Fluor 647-conjugated goat anti-mouse IgG (cat. no. 4410S; dilution, 1:1,000) secondary antibody (Cell Signaling Technology, Inc.) for 2 h at room temperature in the dark.

    Techniques: Expressing, Reverse Transcription, Real-time Polymerase Chain Reaction, Concentration Assay, Flow Cytometry, Infection, Software, Negative Control, Over Expression, Plasmid Preparation

    Effect of STAT1 on CASP8 and FAS expression in PTX-resistant cells. Detection of (A) CASP8 and (B) FAS mRNA expression in oe-STAT1α- and oe-STAT1β-lentivirus-infected SK3R-PTX, OV3R-PTX and A2780-PTX cells by reverse transcription-quantitative PCR. Expression values for each group were normalized using β-actin as an internal reference. Differences between the two groups were analyzed using Student's t-test. Data are presented as the mean ± SD (n=3). * P<0.05; ** P<0.01; *** P<0.001; **** P<0.0001. Detection of STAT1, (C) CASP8 and (D) FAS protein expression in oe-STAT1α- and oe-STAT1β-lentivirus-infected SK3R-PTX, OV3R-PTX and A2780-PTX cells by western blotting. The specific antibodies recognized a specific target. STAT1α, 91 kDa; STAT1β, 84 kDa; pre-CASP8, 57 kDa; cleaved-CASP8, 43 kDa; FAS, 40-50 kDa; β-actin, 42 kDa. The numbers under the bands indicate the densitometric value of the protein (total CASP3 and FAS) after normalization. Detection of STAT1, (E) CASP8 and (F) FAS protein expression in oe-STAT1α- and oe-STAT1β-lentivirus-infected SK3R-PTX, OV3R-PTX and A2780-PTX cells by immunofluorescence staining. The immunofluorescent signals were detected after the induction of STAT1α and STAT1β using doxycycline. DAPI was used to stain the nucleus. Red scale bar, 100 μ m. CASP8, caspase-8; FAS, Fas cell surface death receptor; ns, not significant; oe, overexpression vector; pre-CASP8, caspase-8 precursor; cleaved-CASP8, cleaved caspase-8; PTX, paclitaxel.

    Journal: International Journal of Oncology

    Article Title: Regulation and reversal of paclitaxel resistance via the STAT1-mediated apoptotic pathway in ovarian cancer

    doi: 10.3892/ijo.2025.5832

    Figure Lengend Snippet: Effect of STAT1 on CASP8 and FAS expression in PTX-resistant cells. Detection of (A) CASP8 and (B) FAS mRNA expression in oe-STAT1α- and oe-STAT1β-lentivirus-infected SK3R-PTX, OV3R-PTX and A2780-PTX cells by reverse transcription-quantitative PCR. Expression values for each group were normalized using β-actin as an internal reference. Differences between the two groups were analyzed using Student's t-test. Data are presented as the mean ± SD (n=3). * P<0.05; ** P<0.01; *** P<0.001; **** P<0.0001. Detection of STAT1, (C) CASP8 and (D) FAS protein expression in oe-STAT1α- and oe-STAT1β-lentivirus-infected SK3R-PTX, OV3R-PTX and A2780-PTX cells by western blotting. The specific antibodies recognized a specific target. STAT1α, 91 kDa; STAT1β, 84 kDa; pre-CASP8, 57 kDa; cleaved-CASP8, 43 kDa; FAS, 40-50 kDa; β-actin, 42 kDa. The numbers under the bands indicate the densitometric value of the protein (total CASP3 and FAS) after normalization. Detection of STAT1, (E) CASP8 and (F) FAS protein expression in oe-STAT1α- and oe-STAT1β-lentivirus-infected SK3R-PTX, OV3R-PTX and A2780-PTX cells by immunofluorescence staining. The immunofluorescent signals were detected after the induction of STAT1α and STAT1β using doxycycline. DAPI was used to stain the nucleus. Red scale bar, 100 μ m. CASP8, caspase-8; FAS, Fas cell surface death receptor; ns, not significant; oe, overexpression vector; pre-CASP8, caspase-8 precursor; cleaved-CASP8, cleaved caspase-8; PTX, paclitaxel.

    Article Snippet: Cells were incubated with either rabbit anti-FAS antibody (cat. no. 13098-1-AP; dilution, 1:400; Proteintech Group, Inc.) or mouse anti-CASP8 antibody (cat. no. 66093-1-Ig; dilution, 1:400; Proteintech Group, Inc.) at 4°C for 12 h, followed by incubation with rabbit anti-STAT1 antibody (cat. no. 42H3; dilution, 1:4,000; Cell Signaling Technology, Inc.) at 4°C for another 12 h. Subsequently, the cells were treated with Alexa Fluor 594-conjugated goat anti-rabbit IgG (cat. no. 8760S; dilution, 1:1,000) or Alexa Fluor 647-conjugated goat anti-mouse IgG (cat. no. 4410S; dilution, 1:1,000) secondary antibody (Cell Signaling Technology, Inc.) for 2 h at room temperature in the dark.

    Techniques: Expressing, Infection, Reverse Transcription, Real-time Polymerase Chain Reaction, Western Blot, Immunofluorescence, Staining, Over Expression, Plasmid Preparation

    Detection of the interaction of STAT1 with CASP8 and FAS. (A) Prediction of STAT1 binding site sequence. The PWM of STAT1 was used to predict the binding site in the promoter region. The visualized sequence logo of the PWM is illustrated at the top, and the specific values of the PWM are shown in the table at the bottom. The x-axis represents the position in the sequence alignment. The y-axis represents the information content in bits. A higher value means that position is highly conserved. (B) Prediction of STAT1 binding sites in the CASP8 and FAS promoter regions using PWM analysis. Blue wireframes and arrows indicate high-scoring binding sites (four sites on the CASP8 promoter and two sites on the FAS promoter). (C) The correlation regression results of CASP8 and FAS with STAT1 in OC. The significance of each regression was determined using the Wald test with the t-distribution using the SciPy Python package. (D) Schematic diagram showing the full-length promoter (top) and three truncated fragments of CASP8 with colored squares indicating predicted binding sites and sequences. (E) Detection of STAT1 binding to CASP8 promoter DNA using dual-luciferase reporter gene assays. (F) Schematic diagram showing the full-length promoter (top) and one truncated fragment of FAS (bottom) with colored squares indicating predicted binding sites and sequences. (G) Detection of STAT1 directly binding to FAS promoter DNA using dual-luciferase reporter gene assays. 293T cells were co-transfected with a dual-luciferase reporter gene plasmid and oe-STAT1α, oe-STAT1β or empty vector. Differences among multiple groups were analyzed using one-way ANOVA followed by Tukey's Honestly Significant Difference test. Data are presented as the mean ± standard error of the mean (n=3). * P<0.05; ** P<0.01; *** P<0.001 vs. vector. (H) Schematic illustration of the regulatory mechanism of STAT1 on the reversal of PTX resistance in OC cells. In PTX-resistant cells, the expression levels of STAT1 and apoptotic factors FAS and CASP3 were low. Administration of PTX increased STAT1 expression and the overexpression of STAT1 upregulated FAS and CASP8 at the transcriptional level, thus promoting PTX-resistant cell apoptosis. CASP8, caspase-8; FAS, Fas cell surface death receptor; ns, not significant; oe, overexpression vector; OC, ovarian cancer; PTX, paclitaxel; PWM, position weight matrix; r, R-value; TSS, transcription start site.

    Journal: International Journal of Oncology

    Article Title: Regulation and reversal of paclitaxel resistance via the STAT1-mediated apoptotic pathway in ovarian cancer

    doi: 10.3892/ijo.2025.5832

    Figure Lengend Snippet: Detection of the interaction of STAT1 with CASP8 and FAS. (A) Prediction of STAT1 binding site sequence. The PWM of STAT1 was used to predict the binding site in the promoter region. The visualized sequence logo of the PWM is illustrated at the top, and the specific values of the PWM are shown in the table at the bottom. The x-axis represents the position in the sequence alignment. The y-axis represents the information content in bits. A higher value means that position is highly conserved. (B) Prediction of STAT1 binding sites in the CASP8 and FAS promoter regions using PWM analysis. Blue wireframes and arrows indicate high-scoring binding sites (four sites on the CASP8 promoter and two sites on the FAS promoter). (C) The correlation regression results of CASP8 and FAS with STAT1 in OC. The significance of each regression was determined using the Wald test with the t-distribution using the SciPy Python package. (D) Schematic diagram showing the full-length promoter (top) and three truncated fragments of CASP8 with colored squares indicating predicted binding sites and sequences. (E) Detection of STAT1 binding to CASP8 promoter DNA using dual-luciferase reporter gene assays. (F) Schematic diagram showing the full-length promoter (top) and one truncated fragment of FAS (bottom) with colored squares indicating predicted binding sites and sequences. (G) Detection of STAT1 directly binding to FAS promoter DNA using dual-luciferase reporter gene assays. 293T cells were co-transfected with a dual-luciferase reporter gene plasmid and oe-STAT1α, oe-STAT1β or empty vector. Differences among multiple groups were analyzed using one-way ANOVA followed by Tukey's Honestly Significant Difference test. Data are presented as the mean ± standard error of the mean (n=3). * P<0.05; ** P<0.01; *** P<0.001 vs. vector. (H) Schematic illustration of the regulatory mechanism of STAT1 on the reversal of PTX resistance in OC cells. In PTX-resistant cells, the expression levels of STAT1 and apoptotic factors FAS and CASP3 were low. Administration of PTX increased STAT1 expression and the overexpression of STAT1 upregulated FAS and CASP8 at the transcriptional level, thus promoting PTX-resistant cell apoptosis. CASP8, caspase-8; FAS, Fas cell surface death receptor; ns, not significant; oe, overexpression vector; OC, ovarian cancer; PTX, paclitaxel; PWM, position weight matrix; r, R-value; TSS, transcription start site.

    Article Snippet: Cells were incubated with either rabbit anti-FAS antibody (cat. no. 13098-1-AP; dilution, 1:400; Proteintech Group, Inc.) or mouse anti-CASP8 antibody (cat. no. 66093-1-Ig; dilution, 1:400; Proteintech Group, Inc.) at 4°C for 12 h, followed by incubation with rabbit anti-STAT1 antibody (cat. no. 42H3; dilution, 1:4,000; Cell Signaling Technology, Inc.) at 4°C for another 12 h. Subsequently, the cells were treated with Alexa Fluor 594-conjugated goat anti-rabbit IgG (cat. no. 8760S; dilution, 1:1,000) or Alexa Fluor 647-conjugated goat anti-mouse IgG (cat. no. 4410S; dilution, 1:1,000) secondary antibody (Cell Signaling Technology, Inc.) for 2 h at room temperature in the dark.

    Techniques: Binding Assay, Sequencing, Luciferase, Transfection, Plasmid Preparation, Expressing, Over Expression

    Figure 5. STING activates MLKL, CASP3, and GSDME to induce PANoptosis.A-C. Immunoblot revealed the expression of different cell death effectors in LV-Con and LV-STING DLBCL cells, including the effectors of necroptosis (RIPK3, p-RIPK3, MLKL, and p-MLKL) (A), apoptosis (CASP8, cleaved-CASP8, CASP3, and cleaved-CASP3) (B), and pyroptosis (GSDME-FL and GSDME-N) (C). D. Interactions between CASP8, RIPK3, and ASC in LV-STING DLBCL cells were detected by CO-IP assay. E, F. Immunoblot revealed the expression of cell death effectors in WT and STING-KO DLBCL cells, including the effectors of necroptosis (RIPK3, p-RIPK3, MLKL, and p-MLKL) (E), apoptosis and pyroptosis (CASP3, cleaved-CASP3, GSDME-FL, and GSDME-N) (F). G. Immunoblot revealed the protein levels of p-RIPK3, p-MLKL, cleaved-CASP3, and GSDME-N in LY1 cells transfected with Ctrl, SAMHD1-KD, Ctrl+STING-KO, and SAMHD1-KD+STING-KO. Immunoblot images were the representation of 3 independent experiments.

    Journal: International journal of biological sciences

    Article Title: Activation of STING by SAMHD1 Deficiency Promotes PANoptosis and Enhances Efficacy of PD-L1 Blockade in Diffuse Large B-cell Lymphoma.

    doi: 10.7150/ijbs.85236

    Figure Lengend Snippet: Figure 5. STING activates MLKL, CASP3, and GSDME to induce PANoptosis.A-C. Immunoblot revealed the expression of different cell death effectors in LV-Con and LV-STING DLBCL cells, including the effectors of necroptosis (RIPK3, p-RIPK3, MLKL, and p-MLKL) (A), apoptosis (CASP8, cleaved-CASP8, CASP3, and cleaved-CASP3) (B), and pyroptosis (GSDME-FL and GSDME-N) (C). D. Interactions between CASP8, RIPK3, and ASC in LV-STING DLBCL cells were detected by CO-IP assay. E, F. Immunoblot revealed the expression of cell death effectors in WT and STING-KO DLBCL cells, including the effectors of necroptosis (RIPK3, p-RIPK3, MLKL, and p-MLKL) (E), apoptosis and pyroptosis (CASP3, cleaved-CASP3, GSDME-FL, and GSDME-N) (F). G. Immunoblot revealed the protein levels of p-RIPK3, p-MLKL, cleaved-CASP3, and GSDME-N in LY1 cells transfected with Ctrl, SAMHD1-KD, Ctrl+STING-KO, and SAMHD1-KD+STING-KO. Immunoblot images were the representation of 3 independent experiments.

    Article Snippet: Protein lysates incubated with 3 μg of the anti-Caspase 8 (CASP8)-mouse antibody (Proteintech, 66093-1-Ig, IL, USA) or normal mouse IgG antibody (Santa Cruz, sc-2025, CA, USA) were rotated overnight at 4°C.

    Techniques: Western Blot, Expressing, Co-Immunoprecipitation Assay, Transfection

    Figure 8. A proposed model of STING-mediated PANoptosis in DLBCL. SAMHD1 deficiency induced DNA damage to promote STING activation. Activation of STING led to the formation of CASP8/RIPK3/ASC complex, further activating MLKL, CASP3, and GSDME to induce PANoptosis. Specifically, MLKL phosphorylation induced necroptosis. CASP3 cleavage not only induced apoptosis but also cleaved GSDME to induce pyroptosis.

    Journal: International journal of biological sciences

    Article Title: Activation of STING by SAMHD1 Deficiency Promotes PANoptosis and Enhances Efficacy of PD-L1 Blockade in Diffuse Large B-cell Lymphoma.

    doi: 10.7150/ijbs.85236

    Figure Lengend Snippet: Figure 8. A proposed model of STING-mediated PANoptosis in DLBCL. SAMHD1 deficiency induced DNA damage to promote STING activation. Activation of STING led to the formation of CASP8/RIPK3/ASC complex, further activating MLKL, CASP3, and GSDME to induce PANoptosis. Specifically, MLKL phosphorylation induced necroptosis. CASP3 cleavage not only induced apoptosis but also cleaved GSDME to induce pyroptosis.

    Article Snippet: Protein lysates incubated with 3 μg of the anti-Caspase 8 (CASP8)-mouse antibody (Proteintech, 66093-1-Ig, IL, USA) or normal mouse IgG antibody (Santa Cruz, sc-2025, CA, USA) were rotated overnight at 4°C.

    Techniques: Activation Assay, Phospho-proteomics

    Fusobacterium varium induces noncanonical Caspase 8 inflammasome activation in macrophages. Bone marrow-derived macrophages (BMDM) from healthy wild-type C57/Bl6 mice (age = 8–12 weeks) were cultured and treated with F. varium or F. prausnitzii (BMDM: bacteria = 1: 20) for 1 h. A Cytokine production in BMDM. *** p < 0.001; ns, not significant; by one-way ANOVA with Dunnett’s test. Experiments were repeated 3 times. B Immunostaining of IL-1β (red). Phalloidin (green) was used to outline BMDM. C Immunostaining of phospho P65 (pP65, red). Phalloidin (green) was used to outline BMDM. D – E Whole-cell lysis of BMDM treated with bacteria was subjected to Western blot analysis (40 μg per system). Experiments were repeated 3 times. D Expression of inflammasome markers in BMDM. E The level of inflammasome executors in BMDM. F Immunostaining of NLRP3 (red) and caspase-8 (green) to reveal the assembling of inflammasomes. G Immunostaining of GSDMD (red). Phalloidin (green) was used to outline BMDM. H Cell death was assessed with PI staining. ** P < 0.01, *** P < 0.001; by one-way ANOVA with Dunnett’s test. Experiments were repeated 3 times

    Journal: Microbiome

    Article Title: Gut microbes exacerbate systemic inflammation and behavior disorders in neurologic disease CADASIL

    doi: 10.1186/s40168-023-01638-3

    Figure Lengend Snippet: Fusobacterium varium induces noncanonical Caspase 8 inflammasome activation in macrophages. Bone marrow-derived macrophages (BMDM) from healthy wild-type C57/Bl6 mice (age = 8–12 weeks) were cultured and treated with F. varium or F. prausnitzii (BMDM: bacteria = 1: 20) for 1 h. A Cytokine production in BMDM. *** p < 0.001; ns, not significant; by one-way ANOVA with Dunnett’s test. Experiments were repeated 3 times. B Immunostaining of IL-1β (red). Phalloidin (green) was used to outline BMDM. C Immunostaining of phospho P65 (pP65, red). Phalloidin (green) was used to outline BMDM. D – E Whole-cell lysis of BMDM treated with bacteria was subjected to Western blot analysis (40 μg per system). Experiments were repeated 3 times. D Expression of inflammasome markers in BMDM. E The level of inflammasome executors in BMDM. F Immunostaining of NLRP3 (red) and caspase-8 (green) to reveal the assembling of inflammasomes. G Immunostaining of GSDMD (red). Phalloidin (green) was used to outline BMDM. H Cell death was assessed with PI staining. ** P < 0.01, *** P < 0.001; by one-way ANOVA with Dunnett’s test. Experiments were repeated 3 times

    Article Snippet: The following primary antibodies were used: rabbit anti-NLRP3 (CST, 15,101, clone: D4D8T, 1:1000), rabbit anti-IL-1β (Affinity, AF5103, polyclonal, 1:1000), rabbit anti-GSDMD (Affinity, AF4012, polyclonal, 1:1000), mouse anti-GAPDH (Proteintech, 60,004–1-Ig, clone: 1E6D9, 1:3000), mouse anti-Caspase 1 (CASP8) (Santa Cruz Biotechnology, sc392736, clone: D-3, 1:500), rabbit anti-Caspase 8 (CASP8) (Affinity, AF6442, polyclonal, 1:400), rat anti-Caspase 11 (CASP11) (CST, 14,340, clone: 17D9, 1:1000), and mouse anti-BACT (Proteintech, 66,009–1-Ig, clone: 2D4H5, 1:3000).

    Techniques: Activation Assay, Derivative Assay, Cell Culture, Bacteria, Immunostaining, Lysis, Western Blot, Expressing, Staining

    F. varium provokes CADASIL-like behaviors and increases systemic inflammation in the mouse model. A The mice experimental design. A 4-week-old WT and Notch3 R170C/+ mice received F. varium and PBS administration, respectively ( n = 8 for each group). Feces samples were collected once every week. In the fifth week, blood samples were collected, and an open-field test was performed, and at the last day of this week, all mice were sacrificed, and blood and colon samples were collected. B – C The abundance of F. varium , determined by qPCR, was normalized to pan-bacterial primers targeting the 16S rRNA gene (UNI 16S) in bacterial DNA extracted from feces ( B ) and mucus from colon ( C ) of WT and Notch3 R170C/+ mice. N = 5 mice per group. p -values were determined by an unpaired Student’s t -test. Data are from two independent experiments and represented as the mean ± SD. D The comparison of serum IL-1β levels in WT and Notch3 R170C/+ mice after 4 weeks administration of F. varium compared to PBS ( n = 6 for each group). E Peripheral blood of F. varium -treated mice was subjected to flow cytometric analysis. Monocytes were identified as CD45 + CD11b + F4/80 + cells. The mean fluorescent intensity (MFI) of caspase-8 was analyzed. p -values were determined by one-way ANOVA with Dunnett’s test. F BMDM were isolated and induced from WT and Notch3 R170C/+ mice (age = 8–12 weeks). BMDM were treated with F. varium (BMDM: bacteria = 1: 20) for 1 h and subjected to immunostaining of caspase-8, IL-1β, and NLRP3. Experiments were repeated 3 times. G Representative figures of the open-field test. The figures were generated with the video tracking system. H – J The total distance traveled ( H ), the proportion of distance and time in the center ( I – J ) in four groups of mice. p -values were determined to compare F . varium and PBS treatment in WT and Notch3 R170C/+ mice separately using an unpaired Student’s t -test. * p -value < 0.05; ** p -value < 0.01; *** p -value < 0.001; ns, not significant

    Journal: Microbiome

    Article Title: Gut microbes exacerbate systemic inflammation and behavior disorders in neurologic disease CADASIL

    doi: 10.1186/s40168-023-01638-3

    Figure Lengend Snippet: F. varium provokes CADASIL-like behaviors and increases systemic inflammation in the mouse model. A The mice experimental design. A 4-week-old WT and Notch3 R170C/+ mice received F. varium and PBS administration, respectively ( n = 8 for each group). Feces samples were collected once every week. In the fifth week, blood samples were collected, and an open-field test was performed, and at the last day of this week, all mice were sacrificed, and blood and colon samples were collected. B – C The abundance of F. varium , determined by qPCR, was normalized to pan-bacterial primers targeting the 16S rRNA gene (UNI 16S) in bacterial DNA extracted from feces ( B ) and mucus from colon ( C ) of WT and Notch3 R170C/+ mice. N = 5 mice per group. p -values were determined by an unpaired Student’s t -test. Data are from two independent experiments and represented as the mean ± SD. D The comparison of serum IL-1β levels in WT and Notch3 R170C/+ mice after 4 weeks administration of F. varium compared to PBS ( n = 6 for each group). E Peripheral blood of F. varium -treated mice was subjected to flow cytometric analysis. Monocytes were identified as CD45 + CD11b + F4/80 + cells. The mean fluorescent intensity (MFI) of caspase-8 was analyzed. p -values were determined by one-way ANOVA with Dunnett’s test. F BMDM were isolated and induced from WT and Notch3 R170C/+ mice (age = 8–12 weeks). BMDM were treated with F. varium (BMDM: bacteria = 1: 20) for 1 h and subjected to immunostaining of caspase-8, IL-1β, and NLRP3. Experiments were repeated 3 times. G Representative figures of the open-field test. The figures were generated with the video tracking system. H – J The total distance traveled ( H ), the proportion of distance and time in the center ( I – J ) in four groups of mice. p -values were determined to compare F . varium and PBS treatment in WT and Notch3 R170C/+ mice separately using an unpaired Student’s t -test. * p -value < 0.05; ** p -value < 0.01; *** p -value < 0.001; ns, not significant

    Article Snippet: The following primary antibodies were used: rabbit anti-NLRP3 (CST, 15,101, clone: D4D8T, 1:1000), rabbit anti-IL-1β (Affinity, AF5103, polyclonal, 1:1000), rabbit anti-GSDMD (Affinity, AF4012, polyclonal, 1:1000), mouse anti-GAPDH (Proteintech, 60,004–1-Ig, clone: 1E6D9, 1:3000), mouse anti-Caspase 1 (CASP8) (Santa Cruz Biotechnology, sc392736, clone: D-3, 1:500), rabbit anti-Caspase 8 (CASP8) (Affinity, AF6442, polyclonal, 1:400), rat anti-Caspase 11 (CASP11) (CST, 14,340, clone: 17D9, 1:1000), and mouse anti-BACT (Proteintech, 66,009–1-Ig, clone: 2D4H5, 1:3000).

    Techniques: Comparison, Isolation, Bacteria, Immunostaining, Generated

    Primary antibodies used for fluorescence immunocytochemistry reactions (ICC) and western blot reactions (WB)

    Journal: Apoptosis

    Article Title: Study on the activation of cell death mechanisms: in search of new therapeutic targets in glioblastoma multiforme

    doi: 10.1007/s10495-023-01857-x

    Figure Lengend Snippet: Primary antibodies used for fluorescence immunocytochemistry reactions (ICC) and western blot reactions (WB)

    Article Snippet: Caspase8 , Mouse monoclonal anti-Casp8 (Cell Signaling Technology, Danvers, USA) , ICC 1:100 WB 1:500.

    Techniques: Fluorescence, Immunocytochemistry, Western Blot