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human prostate cancer epithelial metastatic cell line pc3  (ATCC)


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    ATCC human prostate cancer epithelial metastatic cell line pc3
    A. Venn diagram of predicted miR-26a targets (TargetScan) and transcripts that were experimentally repressed >2-fold by miR-26a overexpression in prostate cancer cells (PC3M or <t>PC3)</t> relative to control conditions. B. Schematic of the high-throughput compatible EV biogenesis assay to choose EV biogenesis-regulating genes. C. Venn diagram showing genes that suppress EV secretion evaluated by ExoScreen. The genes whose relative EV secretion/cell viability was lower than that of miR-26a plus 0.3 were selected in each assay. The secretion of EV was evaluated by ExoScreen, and the cell viability was measured by the MTS assay. D. The effect of siRNAs against candidate genes on EV secretion in PC3M cells. The EV secretion per cell was evaluated by the signal intensity of ExoScreen per cell. The values are depicted as the fold change relative to the negative control siRNA (control). The values are the mean±SE (n=3). *, p<0.05; **, p<0.01; and n.s., not significant. E. The effect of siRNAs against candidate genes on EV secretion per PC3M cell. The particle number of EVs was measured using a nanoparticle tracking system. The values are the mean±SE (n=3). *, p<0.05; and n.s., not significant. F. The effect of SHC4, PFDN4 and CHORDC1 siRNA on the mRNA expression level of each gene. β-actin was used as an internal control. Error bars represent the s.e. deduced by Student’s t-test (*P<0.05, **<0.01). n.s., no significant difference. The data are representative of at least three independent experiments. The values are the mean±SE (n=3). **, p<0.01.
    Human Prostate Cancer Epithelial Metastatic Cell Line Pc3, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 15740 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/human prostate cancer epithelial metastatic cell line pc3/product/ATCC
    Average 99 stars, based on 15740 article reviews
    human prostate cancer epithelial metastatic cell line pc3 - by Bioz Stars, 2026-02
    99/100 stars

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    1) Product Images from "miR-26a regulates extracellular vesicle secretion from prostate cancer cells via targeting SHC4, PFDN4 and CHORDC1"

    Article Title: miR-26a regulates extracellular vesicle secretion from prostate cancer cells via targeting SHC4, PFDN4 and CHORDC1

    Journal: bioRxiv

    doi: 10.1101/646380

    A. Venn diagram of predicted miR-26a targets (TargetScan) and transcripts that were experimentally repressed >2-fold by miR-26a overexpression in prostate cancer cells (PC3M or PC3) relative to control conditions. B. Schematic of the high-throughput compatible EV biogenesis assay to choose EV biogenesis-regulating genes. C. Venn diagram showing genes that suppress EV secretion evaluated by ExoScreen. The genes whose relative EV secretion/cell viability was lower than that of miR-26a plus 0.3 were selected in each assay. The secretion of EV was evaluated by ExoScreen, and the cell viability was measured by the MTS assay. D. The effect of siRNAs against candidate genes on EV secretion in PC3M cells. The EV secretion per cell was evaluated by the signal intensity of ExoScreen per cell. The values are depicted as the fold change relative to the negative control siRNA (control). The values are the mean±SE (n=3). *, p<0.05; **, p<0.01; and n.s., not significant. E. The effect of siRNAs against candidate genes on EV secretion per PC3M cell. The particle number of EVs was measured using a nanoparticle tracking system. The values are the mean±SE (n=3). *, p<0.05; and n.s., not significant. F. The effect of SHC4, PFDN4 and CHORDC1 siRNA on the mRNA expression level of each gene. β-actin was used as an internal control. Error bars represent the s.e. deduced by Student’s t-test (*P<0.05, **<0.01). n.s., no significant difference. The data are representative of at least three independent experiments. The values are the mean±SE (n=3). **, p<0.01.
    Figure Legend Snippet: A. Venn diagram of predicted miR-26a targets (TargetScan) and transcripts that were experimentally repressed >2-fold by miR-26a overexpression in prostate cancer cells (PC3M or PC3) relative to control conditions. B. Schematic of the high-throughput compatible EV biogenesis assay to choose EV biogenesis-regulating genes. C. Venn diagram showing genes that suppress EV secretion evaluated by ExoScreen. The genes whose relative EV secretion/cell viability was lower than that of miR-26a plus 0.3 were selected in each assay. The secretion of EV was evaluated by ExoScreen, and the cell viability was measured by the MTS assay. D. The effect of siRNAs against candidate genes on EV secretion in PC3M cells. The EV secretion per cell was evaluated by the signal intensity of ExoScreen per cell. The values are depicted as the fold change relative to the negative control siRNA (control). The values are the mean±SE (n=3). *, p<0.05; **, p<0.01; and n.s., not significant. E. The effect of siRNAs against candidate genes on EV secretion per PC3M cell. The particle number of EVs was measured using a nanoparticle tracking system. The values are the mean±SE (n=3). *, p<0.05; and n.s., not significant. F. The effect of SHC4, PFDN4 and CHORDC1 siRNA on the mRNA expression level of each gene. β-actin was used as an internal control. Error bars represent the s.e. deduced by Student’s t-test (*P<0.05, **<0.01). n.s., no significant difference. The data are representative of at least three independent experiments. The values are the mean±SE (n=3). **, p<0.01.

    Techniques Used: Over Expression, Control, High Throughput Screening Assay, MTS Assay, Negative Control, Expressing



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    ATCC human prostate cancer epithelial metastatic cell line pc3
    A. Venn diagram of predicted miR-26a targets (TargetScan) and transcripts that were experimentally repressed >2-fold by miR-26a overexpression in prostate cancer cells (PC3M or <t>PC3)</t> relative to control conditions. B. Schematic of the high-throughput compatible EV biogenesis assay to choose EV biogenesis-regulating genes. C. Venn diagram showing genes that suppress EV secretion evaluated by ExoScreen. The genes whose relative EV secretion/cell viability was lower than that of miR-26a plus 0.3 were selected in each assay. The secretion of EV was evaluated by ExoScreen, and the cell viability was measured by the MTS assay. D. The effect of siRNAs against candidate genes on EV secretion in PC3M cells. The EV secretion per cell was evaluated by the signal intensity of ExoScreen per cell. The values are depicted as the fold change relative to the negative control siRNA (control). The values are the mean±SE (n=3). *, p<0.05; **, p<0.01; and n.s., not significant. E. The effect of siRNAs against candidate genes on EV secretion per PC3M cell. The particle number of EVs was measured using a nanoparticle tracking system. The values are the mean±SE (n=3). *, p<0.05; and n.s., not significant. F. The effect of SHC4, PFDN4 and CHORDC1 siRNA on the mRNA expression level of each gene. β-actin was used as an internal control. Error bars represent the s.e. deduced by Student’s t-test (*P<0.05, **<0.01). n.s., no significant difference. The data are representative of at least three independent experiments. The values are the mean±SE (n=3). **, p<0.01.
    Human Prostate Cancer Epithelial Metastatic Cell Line Pc3, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/human prostate cancer epithelial metastatic cell line pc3/product/ATCC
    Average 99 stars, based on 1 article reviews
    human prostate cancer epithelial metastatic cell line pc3 - by Bioz Stars, 2026-02
    99/100 stars
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    A. Venn diagram of predicted miR-26a targets (TargetScan) and transcripts that were experimentally repressed >2-fold by miR-26a overexpression in prostate cancer cells (PC3M or PC3) relative to control conditions. B. Schematic of the high-throughput compatible EV biogenesis assay to choose EV biogenesis-regulating genes. C. Venn diagram showing genes that suppress EV secretion evaluated by ExoScreen. The genes whose relative EV secretion/cell viability was lower than that of miR-26a plus 0.3 were selected in each assay. The secretion of EV was evaluated by ExoScreen, and the cell viability was measured by the MTS assay. D. The effect of siRNAs against candidate genes on EV secretion in PC3M cells. The EV secretion per cell was evaluated by the signal intensity of ExoScreen per cell. The values are depicted as the fold change relative to the negative control siRNA (control). The values are the mean±SE (n=3). *, p<0.05; **, p<0.01; and n.s., not significant. E. The effect of siRNAs against candidate genes on EV secretion per PC3M cell. The particle number of EVs was measured using a nanoparticle tracking system. The values are the mean±SE (n=3). *, p<0.05; and n.s., not significant. F. The effect of SHC4, PFDN4 and CHORDC1 siRNA on the mRNA expression level of each gene. β-actin was used as an internal control. Error bars represent the s.e. deduced by Student’s t-test (*P<0.05, **<0.01). n.s., no significant difference. The data are representative of at least three independent experiments. The values are the mean±SE (n=3). **, p<0.01.

    Journal: bioRxiv

    Article Title: miR-26a regulates extracellular vesicle secretion from prostate cancer cells via targeting SHC4, PFDN4 and CHORDC1

    doi: 10.1101/646380

    Figure Lengend Snippet: A. Venn diagram of predicted miR-26a targets (TargetScan) and transcripts that were experimentally repressed >2-fold by miR-26a overexpression in prostate cancer cells (PC3M or PC3) relative to control conditions. B. Schematic of the high-throughput compatible EV biogenesis assay to choose EV biogenesis-regulating genes. C. Venn diagram showing genes that suppress EV secretion evaluated by ExoScreen. The genes whose relative EV secretion/cell viability was lower than that of miR-26a plus 0.3 were selected in each assay. The secretion of EV was evaluated by ExoScreen, and the cell viability was measured by the MTS assay. D. The effect of siRNAs against candidate genes on EV secretion in PC3M cells. The EV secretion per cell was evaluated by the signal intensity of ExoScreen per cell. The values are depicted as the fold change relative to the negative control siRNA (control). The values are the mean±SE (n=3). *, p<0.05; **, p<0.01; and n.s., not significant. E. The effect of siRNAs against candidate genes on EV secretion per PC3M cell. The particle number of EVs was measured using a nanoparticle tracking system. The values are the mean±SE (n=3). *, p<0.05; and n.s., not significant. F. The effect of SHC4, PFDN4 and CHORDC1 siRNA on the mRNA expression level of each gene. β-actin was used as an internal control. Error bars represent the s.e. deduced by Student’s t-test (*P<0.05, **<0.01). n.s., no significant difference. The data are representative of at least three independent experiments. The values are the mean±SE (n=3). **, p<0.01.

    Article Snippet: The human prostate cancer epithelial metastatic cell line PC3 (ATCC CRL-1435) was purchased from ATCC.

    Techniques: Over Expression, Control, High Throughput Screening Assay, MTS Assay, Negative Control, Expressing