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prostate cancer epithelial cell lines pc3  (ATCC)


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    Structured Review

    ATCC prostate cancer epithelial cell lines pc3
    Prostate Cancer Epithelial Cell Lines Pc3, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 15925 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/prostate cancer epithelial cell lines pc3/product/ATCC
    Average 99 stars, based on 15925 article reviews
    prostate cancer epithelial cell lines pc3 - by Bioz Stars, 2026-04
    99/100 stars

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    Single-cell profiles of prostate cancer and normal prostate tissue. (A) The UMAP plot depicted a comprehensive single-cell atlas, encompassing 91,539 high-quality cells from 4 normal healthy prostate tissues, 13 PSA < 10 ng/mL PCa, and 4 PSA > 10 ng/mL PCa. Various shapes in the bubble chart represented the primary cell types found in the prostate. Outer axis of the circular chart utilized a logarithmic scale to illustrate the total cell count for each cell type. Trajectories were distinguished by four colors (from outer to inner) representing Tissue type, Gleason score grade, BMI range, and pathological stage. (B) Cell types were discerned based on marker genes. (C) Prostate <t>epithelial</t> cells was further classified into 6 different cell types. Volcano plot highlighted the differentially expressed genes (LogFC > 0.5, FDR < 0.05) specific to PSA < 10 ng/mL tumor epithelial cells compared to other cell types (D) as well as other epithelial cells (E) . Venn diagram (F) visually represented the intersection of upregulated genes in PSA < 10ng/mL tumor cells compared to other cell types, and another Venn diagram (G) showed the overlap between upregulated genes in PSA < 10 ng/mL tumor cells compared to other cell types and those detectable in urine
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    ATCC 22rv1 human prostate cancer epithelial cell line
    (A) cell uptake study in <t>22Rv1</t> cell line at 4 h (B) saturation binding curve of [ 99m Tc]Tc-PSMA-P1 for the determination of K d value.
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    Image Search Results


    Single-cell profiles of prostate cancer and normal prostate tissue. (A) The UMAP plot depicted a comprehensive single-cell atlas, encompassing 91,539 high-quality cells from 4 normal healthy prostate tissues, 13 PSA < 10 ng/mL PCa, and 4 PSA > 10 ng/mL PCa. Various shapes in the bubble chart represented the primary cell types found in the prostate. Outer axis of the circular chart utilized a logarithmic scale to illustrate the total cell count for each cell type. Trajectories were distinguished by four colors (from outer to inner) representing Tissue type, Gleason score grade, BMI range, and pathological stage. (B) Cell types were discerned based on marker genes. (C) Prostate epithelial cells was further classified into 6 different cell types. Volcano plot highlighted the differentially expressed genes (LogFC > 0.5, FDR < 0.05) specific to PSA < 10 ng/mL tumor epithelial cells compared to other cell types (D) as well as other epithelial cells (E) . Venn diagram (F) visually represented the intersection of upregulated genes in PSA < 10ng/mL tumor cells compared to other cell types, and another Venn diagram (G) showed the overlap between upregulated genes in PSA < 10 ng/mL tumor cells compared to other cell types and those detectable in urine

    Journal: Cancer Cell International

    Article Title: Discovery and validation of RAB3B as a diagnostic biomarker for prostate cancer with serum PSA below 10 ng/mL based on a multi-omics study

    doi: 10.1186/s12935-025-04092-3

    Figure Lengend Snippet: Single-cell profiles of prostate cancer and normal prostate tissue. (A) The UMAP plot depicted a comprehensive single-cell atlas, encompassing 91,539 high-quality cells from 4 normal healthy prostate tissues, 13 PSA < 10 ng/mL PCa, and 4 PSA > 10 ng/mL PCa. Various shapes in the bubble chart represented the primary cell types found in the prostate. Outer axis of the circular chart utilized a logarithmic scale to illustrate the total cell count for each cell type. Trajectories were distinguished by four colors (from outer to inner) representing Tissue type, Gleason score grade, BMI range, and pathological stage. (B) Cell types were discerned based on marker genes. (C) Prostate epithelial cells was further classified into 6 different cell types. Volcano plot highlighted the differentially expressed genes (LogFC > 0.5, FDR < 0.05) specific to PSA < 10 ng/mL tumor epithelial cells compared to other cell types (D) as well as other epithelial cells (E) . Venn diagram (F) visually represented the intersection of upregulated genes in PSA < 10ng/mL tumor cells compared to other cell types, and another Venn diagram (G) showed the overlap between upregulated genes in PSA < 10 ng/mL tumor cells compared to other cell types and those detectable in urine

    Article Snippet: RWPE-1 and BPH-1 cells were obtained from our institute’s laboratory, and prostate epithelial cancer cells (DU145, LNCaP and C4-2) were purchased from the ATCC cell bank.

    Techniques: Cell Characterization, Marker

    Further screening of candidate genes and characterization of their expression profiles. (A-B) The three genes were identified as the optimal feature genes through the LASSO logistic regression algorithm with 10-fold cross-validation. (C-D) Gene filtering by the SVM-RFE algorithm resulted in the identification of five optimal feature genes (maximum accuracy = 0.75, minimum RMSE = 0.25). (E) A Venn diagram illustrated the intersection of the three genes (RAB3B, SLC4A4, and SPON2) obtained from both LASSO and SVM-RFE models. PSA < 10 ng/mL tumors and matched normal tissues were subjected to analysis for the expression of RAB3B (F) , SPON2 (H) , and SLC4A4 (J) . Additionally, pan-cancer expression analysis was conducted for RAB3B (G) , SPON2 (I) , and SLC4A4 (K) . Bubble plots illustrate the expression of RAB3B, SPON2, and SLC4A4 in various cell types (L) as well as different epithelial cells (M) based on single-cell data

    Journal: Cancer Cell International

    Article Title: Discovery and validation of RAB3B as a diagnostic biomarker for prostate cancer with serum PSA below 10 ng/mL based on a multi-omics study

    doi: 10.1186/s12935-025-04092-3

    Figure Lengend Snippet: Further screening of candidate genes and characterization of their expression profiles. (A-B) The three genes were identified as the optimal feature genes through the LASSO logistic regression algorithm with 10-fold cross-validation. (C-D) Gene filtering by the SVM-RFE algorithm resulted in the identification of five optimal feature genes (maximum accuracy = 0.75, minimum RMSE = 0.25). (E) A Venn diagram illustrated the intersection of the three genes (RAB3B, SLC4A4, and SPON2) obtained from both LASSO and SVM-RFE models. PSA < 10 ng/mL tumors and matched normal tissues were subjected to analysis for the expression of RAB3B (F) , SPON2 (H) , and SLC4A4 (J) . Additionally, pan-cancer expression analysis was conducted for RAB3B (G) , SPON2 (I) , and SLC4A4 (K) . Bubble plots illustrate the expression of RAB3B, SPON2, and SLC4A4 in various cell types (L) as well as different epithelial cells (M) based on single-cell data

    Article Snippet: RWPE-1 and BPH-1 cells were obtained from our institute’s laboratory, and prostate epithelial cancer cells (DU145, LNCaP and C4-2) were purchased from the ATCC cell bank.

    Techniques: Expressing, Biomarker Discovery

    Function and communication analysis of RAB3B in PCa cells with PSA < 10 ng/mL. (A) GSEA Analysis of RAB3B Function in PSA < 10 ng/mL Tumor Cells. (B) Metabolic Characteristics of Different Types of Prostate Epithelial Cells at the Single-Cell Level: The closer the bubble color is to red, the stronger the correlation. (C) Circular Diagram Showing the Number of Interactions Between RAB3B-EP and RAB3B + EP Cells (as recipients) and Other Cells: The thicker the line, the more interaction pathways. (D) Bubble Plot Displaying Ligand-Receptor Pairs Across All Signaling Pathways: RAB3B + and RAB3B- Tumor Cells as Recipients. The closer the bubble color is to red, the higher the contribution value. Bubble diameter represents probability, with P < 0.05 indicating statistical significance. (E) Circular Diagram Showing the Number of Interactions Between RAB3B-EP and RAB3B + EP Cells (as signal senders) and Other Cells: The thicker the line, the more interaction pathways. (F) Detailed Signaling Pathways for RAB3B + and RAB3B- Tumor Cells as Signal Senders

    Journal: Cancer Cell International

    Article Title: Discovery and validation of RAB3B as a diagnostic biomarker for prostate cancer with serum PSA below 10 ng/mL based on a multi-omics study

    doi: 10.1186/s12935-025-04092-3

    Figure Lengend Snippet: Function and communication analysis of RAB3B in PCa cells with PSA < 10 ng/mL. (A) GSEA Analysis of RAB3B Function in PSA < 10 ng/mL Tumor Cells. (B) Metabolic Characteristics of Different Types of Prostate Epithelial Cells at the Single-Cell Level: The closer the bubble color is to red, the stronger the correlation. (C) Circular Diagram Showing the Number of Interactions Between RAB3B-EP and RAB3B + EP Cells (as recipients) and Other Cells: The thicker the line, the more interaction pathways. (D) Bubble Plot Displaying Ligand-Receptor Pairs Across All Signaling Pathways: RAB3B + and RAB3B- Tumor Cells as Recipients. The closer the bubble color is to red, the higher the contribution value. Bubble diameter represents probability, with P < 0.05 indicating statistical significance. (E) Circular Diagram Showing the Number of Interactions Between RAB3B-EP and RAB3B + EP Cells (as signal senders) and Other Cells: The thicker the line, the more interaction pathways. (F) Detailed Signaling Pathways for RAB3B + and RAB3B- Tumor Cells as Signal Senders

    Article Snippet: RWPE-1 and BPH-1 cells were obtained from our institute’s laboratory, and prostate epithelial cancer cells (DU145, LNCaP and C4-2) were purchased from the ATCC cell bank.

    Techniques: Protein-Protein interactions

    (A) cell uptake study in 22Rv1 cell line at 4 h (B) saturation binding curve of [ 99m Tc]Tc-PSMA-P1 for the determination of K d value.

    Journal: RSC Advances

    Article Title: Clinical evaluation of [ 99m Tc]Tc-PSMA-P1: a promising SPECT radiotracer for prostate cancer imaging

    doi: 10.1039/d5ra04397b

    Figure Lengend Snippet: (A) cell uptake study in 22Rv1 cell line at 4 h (B) saturation binding curve of [ 99m Tc]Tc-PSMA-P1 for the determination of K d value.

    Article Snippet: The 22Rv1 human prostate cancer epithelial cell line was procured from the American Type Culture Collection (ATCC).

    Techniques: Binding Assay

    Whole-body SPECT/CT imaging of [ 99m Tc]Tc-PSMA-P1 in 22Rv1 tumor-bearing mice targeting PSMA at 4 hours post-injection. [ 99m Tc]Tc-PSMA-P1 alone. (A) Blockade by co-injection of 2-PMPA (100 μg) (B).

    Journal: RSC Advances

    Article Title: Clinical evaluation of [ 99m Tc]Tc-PSMA-P1: a promising SPECT radiotracer for prostate cancer imaging

    doi: 10.1039/d5ra04397b

    Figure Lengend Snippet: Whole-body SPECT/CT imaging of [ 99m Tc]Tc-PSMA-P1 in 22Rv1 tumor-bearing mice targeting PSMA at 4 hours post-injection. [ 99m Tc]Tc-PSMA-P1 alone. (A) Blockade by co-injection of 2-PMPA (100 μg) (B).

    Article Snippet: The 22Rv1 human prostate cancer epithelial cell line was procured from the American Type Culture Collection (ATCC).

    Techniques: Single Photon Emission Computed Tomography, Imaging, Injection