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human blca cell line 5637  (ATCC)


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    Structured Review

    ATCC human blca cell line 5637
    A Upset plot of AS events in <t>BLCA.</t> B Unisex Upset plot illustrating adverse events related to AS in BLCA, combined with clinical information.
    Human Blca Cell Line 5637, supplied by ATCC, used in various techniques. Bioz Stars score: 97/100, based on 1090 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/human blca cell line 5637/product/ATCC
    Average 97 stars, based on 1090 article reviews
    human blca cell line 5637 - by Bioz Stars, 2026-03
    97/100 stars

    Images

    1) Product Images from "ACTG1 driven splicing of P4HB gene enhances EMT and bladder cancer progression"

    Article Title: ACTG1 driven splicing of P4HB gene enhances EMT and bladder cancer progression

    Journal: NPJ Precision Oncology

    doi: 10.1038/s41698-025-00923-8

    A Upset plot of AS events in BLCA. B Unisex Upset plot illustrating adverse events related to AS in BLCA, combined with clinical information.
    Figure Legend Snippet: A Upset plot of AS events in BLCA. B Unisex Upset plot illustrating adverse events related to AS in BLCA, combined with clinical information.

    Techniques Used:

    A Schematic diagram showing the variation of AS events with penalty coefficient in LASSO analysis. B Schematic diagram for calculating the optimal penalty parameter λ . The x -axis represents the logarithmic ( λ ) values and the y -axis represents the degrees of freedom. The λ values selected based on the minimum criteria and the 1-SE criterion resulted in 9 AS events. C Expression trend of ACTG1 in normal and BLCA patients. D Kaplan–Meier survival curves for high and low expression groups of ACTG1. ** Indicates a significant difference between the two groups with P < 0.01, Normal (blue) = 19, Tumor (red) = 407.
    Figure Legend Snippet: A Schematic diagram showing the variation of AS events with penalty coefficient in LASSO analysis. B Schematic diagram for calculating the optimal penalty parameter λ . The x -axis represents the logarithmic ( λ ) values and the y -axis represents the degrees of freedom. The λ values selected based on the minimum criteria and the 1-SE criterion resulted in 9 AS events. C Expression trend of ACTG1 in normal and BLCA patients. D Kaplan–Meier survival curves for high and low expression groups of ACTG1. ** Indicates a significant difference between the two groups with P < 0.01, Normal (blue) = 19, Tumor (red) = 407.

    Techniques Used: Expressing

    A Forest plot comparing the expression of ACTG1 between BLCA and Normal groups. B Forest plot comparing the expression of ACTG1 in subgroups (Country) of BLCA and Normal groups. C and D Funnel plots for assessing publication bias and verification using trim-and-fill method. E Sensitivity analysis using leave-one-out approach; MD denotes mean difference, and 95% CI represents a 95% confidence interval.
    Figure Legend Snippet: A Forest plot comparing the expression of ACTG1 between BLCA and Normal groups. B Forest plot comparing the expression of ACTG1 in subgroups (Country) of BLCA and Normal groups. C and D Funnel plots for assessing publication bias and verification using trim-and-fill method. E Sensitivity analysis using leave-one-out approach; MD denotes mean difference, and 95% CI represents a 95% confidence interval.

    Techniques Used: Expressing

    A Tumor immune cell infiltration in BLCA patients grouped by ACTG1 expression levels. B – I Correlation of ACTG1 with 8 types of immune cells. J ssGSEA scores of BLCA patient samples classified based on low or high ACTG1 expression levels. K Expression of 20 immune checkpoint-related genes in tumors of BLCA patients grouped by ACTG1 expression levels. *Indicates statistical significance between groups, P < 0.05, **Indicates statistical significance between groups, P < 0.01. *** Indicates statistical significance between groups, P < 0.001; Low (in blue) represents the low ACTG1 expression group, High (in red) represents the high ACTG1 expression group.
    Figure Legend Snippet: A Tumor immune cell infiltration in BLCA patients grouped by ACTG1 expression levels. B – I Correlation of ACTG1 with 8 types of immune cells. J ssGSEA scores of BLCA patient samples classified based on low or high ACTG1 expression levels. K Expression of 20 immune checkpoint-related genes in tumors of BLCA patients grouped by ACTG1 expression levels. *Indicates statistical significance between groups, P < 0.05, **Indicates statistical significance between groups, P < 0.01. *** Indicates statistical significance between groups, P < 0.001; Low (in blue) represents the low ACTG1 expression group, High (in red) represents the high ACTG1 expression group.

    Techniques Used: Expressing

    A – C Volcano plots showing the DEcircRNAs in BLCA tumor tissue samples compared to normal tissue samples from three datasets: GSE92675 (tumor = 4, normal = 4), GSE97239 (tumor = 3, normal = 3), and GSE147985 (tumor = 4, normal = 4). D Intersection of DEGs in the three datasets.
    Figure Legend Snippet: A – C Volcano plots showing the DEcircRNAs in BLCA tumor tissue samples compared to normal tissue samples from three datasets: GSE92675 (tumor = 4, normal = 4), GSE97239 (tumor = 3, normal = 3), and GSE147985 (tumor = 4, normal = 4). D Intersection of DEGs in the three datasets.

    Techniques Used:

    A Venn diagram showing the intersection of genes encoding DEcircRNAs and EMT-related genes. B Correspondence graph between EMT-related genes and their encoding DEcircRNAs. C – E Expression trends of EMT-related genes encoding DEcircRNAs in normal and BLCA patients; *** indicates P < 0.001 compared between the two groups; Normal (blue) = 19, Tumor (red) = 407.
    Figure Legend Snippet: A Venn diagram showing the intersection of genes encoding DEcircRNAs and EMT-related genes. B Correspondence graph between EMT-related genes and their encoding DEcircRNAs. C – E Expression trends of EMT-related genes encoding DEcircRNAs in normal and BLCA patients; *** indicates P < 0.001 compared between the two groups; Normal (blue) = 19, Tumor (red) = 407.

    Techniques Used: Expressing

    Schematic representation of the molecular mechanism by which the variable shear regulatory factor ACTG1 regulates the splicing of EMT-related genes to generate circRNAs, promoting the growth and metastasis of BLCA.
    Figure Legend Snippet: Schematic representation of the molecular mechanism by which the variable shear regulatory factor ACTG1 regulates the splicing of EMT-related genes to generate circRNAs, promoting the growth and metastasis of BLCA.

    Techniques Used: Shear



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    Image Search Results


    A Upset plot of AS events in BLCA. B Unisex Upset plot illustrating adverse events related to AS in BLCA, combined with clinical information.

    Journal: NPJ Precision Oncology

    Article Title: ACTG1 driven splicing of P4HB gene enhances EMT and bladder cancer progression

    doi: 10.1038/s41698-025-00923-8

    Figure Lengend Snippet: A Upset plot of AS events in BLCA. B Unisex Upset plot illustrating adverse events related to AS in BLCA, combined with clinical information.

    Article Snippet: The human BLCA cell lines T24 and RT4 were cultured in McCoy’s 5a medium (catalog number: 30-2007, ATCC) containing 10% fetal bovine serum, while human T24-Luc cells and human BLCA cell line 5637 were cultured in RPMI-1640 medium (catalog number: 30-2001, ATCC) also containing 10% fetal bovine serum.

    Techniques:

    A Schematic diagram showing the variation of AS events with penalty coefficient in LASSO analysis. B Schematic diagram for calculating the optimal penalty parameter λ . The x -axis represents the logarithmic ( λ ) values and the y -axis represents the degrees of freedom. The λ values selected based on the minimum criteria and the 1-SE criterion resulted in 9 AS events. C Expression trend of ACTG1 in normal and BLCA patients. D Kaplan–Meier survival curves for high and low expression groups of ACTG1. ** Indicates a significant difference between the two groups with P < 0.01, Normal (blue) = 19, Tumor (red) = 407.

    Journal: NPJ Precision Oncology

    Article Title: ACTG1 driven splicing of P4HB gene enhances EMT and bladder cancer progression

    doi: 10.1038/s41698-025-00923-8

    Figure Lengend Snippet: A Schematic diagram showing the variation of AS events with penalty coefficient in LASSO analysis. B Schematic diagram for calculating the optimal penalty parameter λ . The x -axis represents the logarithmic ( λ ) values and the y -axis represents the degrees of freedom. The λ values selected based on the minimum criteria and the 1-SE criterion resulted in 9 AS events. C Expression trend of ACTG1 in normal and BLCA patients. D Kaplan–Meier survival curves for high and low expression groups of ACTG1. ** Indicates a significant difference between the two groups with P < 0.01, Normal (blue) = 19, Tumor (red) = 407.

    Article Snippet: The human BLCA cell lines T24 and RT4 were cultured in McCoy’s 5a medium (catalog number: 30-2007, ATCC) containing 10% fetal bovine serum, while human T24-Luc cells and human BLCA cell line 5637 were cultured in RPMI-1640 medium (catalog number: 30-2001, ATCC) also containing 10% fetal bovine serum.

    Techniques: Expressing

    A Forest plot comparing the expression of ACTG1 between BLCA and Normal groups. B Forest plot comparing the expression of ACTG1 in subgroups (Country) of BLCA and Normal groups. C and D Funnel plots for assessing publication bias and verification using trim-and-fill method. E Sensitivity analysis using leave-one-out approach; MD denotes mean difference, and 95% CI represents a 95% confidence interval.

    Journal: NPJ Precision Oncology

    Article Title: ACTG1 driven splicing of P4HB gene enhances EMT and bladder cancer progression

    doi: 10.1038/s41698-025-00923-8

    Figure Lengend Snippet: A Forest plot comparing the expression of ACTG1 between BLCA and Normal groups. B Forest plot comparing the expression of ACTG1 in subgroups (Country) of BLCA and Normal groups. C and D Funnel plots for assessing publication bias and verification using trim-and-fill method. E Sensitivity analysis using leave-one-out approach; MD denotes mean difference, and 95% CI represents a 95% confidence interval.

    Article Snippet: The human BLCA cell lines T24 and RT4 were cultured in McCoy’s 5a medium (catalog number: 30-2007, ATCC) containing 10% fetal bovine serum, while human T24-Luc cells and human BLCA cell line 5637 were cultured in RPMI-1640 medium (catalog number: 30-2001, ATCC) also containing 10% fetal bovine serum.

    Techniques: Expressing

    A Tumor immune cell infiltration in BLCA patients grouped by ACTG1 expression levels. B – I Correlation of ACTG1 with 8 types of immune cells. J ssGSEA scores of BLCA patient samples classified based on low or high ACTG1 expression levels. K Expression of 20 immune checkpoint-related genes in tumors of BLCA patients grouped by ACTG1 expression levels. *Indicates statistical significance between groups, P < 0.05, **Indicates statistical significance between groups, P < 0.01. *** Indicates statistical significance between groups, P < 0.001; Low (in blue) represents the low ACTG1 expression group, High (in red) represents the high ACTG1 expression group.

    Journal: NPJ Precision Oncology

    Article Title: ACTG1 driven splicing of P4HB gene enhances EMT and bladder cancer progression

    doi: 10.1038/s41698-025-00923-8

    Figure Lengend Snippet: A Tumor immune cell infiltration in BLCA patients grouped by ACTG1 expression levels. B – I Correlation of ACTG1 with 8 types of immune cells. J ssGSEA scores of BLCA patient samples classified based on low or high ACTG1 expression levels. K Expression of 20 immune checkpoint-related genes in tumors of BLCA patients grouped by ACTG1 expression levels. *Indicates statistical significance between groups, P < 0.05, **Indicates statistical significance between groups, P < 0.01. *** Indicates statistical significance between groups, P < 0.001; Low (in blue) represents the low ACTG1 expression group, High (in red) represents the high ACTG1 expression group.

    Article Snippet: The human BLCA cell lines T24 and RT4 were cultured in McCoy’s 5a medium (catalog number: 30-2007, ATCC) containing 10% fetal bovine serum, while human T24-Luc cells and human BLCA cell line 5637 were cultured in RPMI-1640 medium (catalog number: 30-2001, ATCC) also containing 10% fetal bovine serum.

    Techniques: Expressing

    A – C Volcano plots showing the DEcircRNAs in BLCA tumor tissue samples compared to normal tissue samples from three datasets: GSE92675 (tumor = 4, normal = 4), GSE97239 (tumor = 3, normal = 3), and GSE147985 (tumor = 4, normal = 4). D Intersection of DEGs in the three datasets.

    Journal: NPJ Precision Oncology

    Article Title: ACTG1 driven splicing of P4HB gene enhances EMT and bladder cancer progression

    doi: 10.1038/s41698-025-00923-8

    Figure Lengend Snippet: A – C Volcano plots showing the DEcircRNAs in BLCA tumor tissue samples compared to normal tissue samples from three datasets: GSE92675 (tumor = 4, normal = 4), GSE97239 (tumor = 3, normal = 3), and GSE147985 (tumor = 4, normal = 4). D Intersection of DEGs in the three datasets.

    Article Snippet: The human BLCA cell lines T24 and RT4 were cultured in McCoy’s 5a medium (catalog number: 30-2007, ATCC) containing 10% fetal bovine serum, while human T24-Luc cells and human BLCA cell line 5637 were cultured in RPMI-1640 medium (catalog number: 30-2001, ATCC) also containing 10% fetal bovine serum.

    Techniques:

    A Venn diagram showing the intersection of genes encoding DEcircRNAs and EMT-related genes. B Correspondence graph between EMT-related genes and their encoding DEcircRNAs. C – E Expression trends of EMT-related genes encoding DEcircRNAs in normal and BLCA patients; *** indicates P < 0.001 compared between the two groups; Normal (blue) = 19, Tumor (red) = 407.

    Journal: NPJ Precision Oncology

    Article Title: ACTG1 driven splicing of P4HB gene enhances EMT and bladder cancer progression

    doi: 10.1038/s41698-025-00923-8

    Figure Lengend Snippet: A Venn diagram showing the intersection of genes encoding DEcircRNAs and EMT-related genes. B Correspondence graph between EMT-related genes and their encoding DEcircRNAs. C – E Expression trends of EMT-related genes encoding DEcircRNAs in normal and BLCA patients; *** indicates P < 0.001 compared between the two groups; Normal (blue) = 19, Tumor (red) = 407.

    Article Snippet: The human BLCA cell lines T24 and RT4 were cultured in McCoy’s 5a medium (catalog number: 30-2007, ATCC) containing 10% fetal bovine serum, while human T24-Luc cells and human BLCA cell line 5637 were cultured in RPMI-1640 medium (catalog number: 30-2001, ATCC) also containing 10% fetal bovine serum.

    Techniques: Expressing

    Schematic representation of the molecular mechanism by which the variable shear regulatory factor ACTG1 regulates the splicing of EMT-related genes to generate circRNAs, promoting the growth and metastasis of BLCA.

    Journal: NPJ Precision Oncology

    Article Title: ACTG1 driven splicing of P4HB gene enhances EMT and bladder cancer progression

    doi: 10.1038/s41698-025-00923-8

    Figure Lengend Snippet: Schematic representation of the molecular mechanism by which the variable shear regulatory factor ACTG1 regulates the splicing of EMT-related genes to generate circRNAs, promoting the growth and metastasis of BLCA.

    Article Snippet: The human BLCA cell lines T24 and RT4 were cultured in McCoy’s 5a medium (catalog number: 30-2007, ATCC) containing 10% fetal bovine serum, while human T24-Luc cells and human BLCA cell line 5637 were cultured in RPMI-1640 medium (catalog number: 30-2001, ATCC) also containing 10% fetal bovine serum.

    Techniques: Shear

    FDX1 is downregulated by elesclomol, resulting in inhibiting cell viability in BLCA, ccRCC, and PCa. (A,F,K) The expression level of FDX1 was evaluated in BLCA, ccRCC, and PCa cells and their corresponding normal cells by qRT-PCR and western blot. (B,G,L) The expression level of FDX1 in BLCA, ccRCC, and PCa cell lines treated with elesclomol after 16 h. (E,J,O) The fold Caspase 3/7 activity in BLCA, ccRCC, and PCa cell lines after treated with elesclomol after 16 h. (C,D,H,I,M,N) The cell viability of BLCA, ccRCC, and PCa cell lines after treatment with elesclomol.

    Journal: Frontiers in Pharmacology

    Article Title: Ferredoxin 1 is a cuproptosis-key gene responsible for tumor immunity and drug sensitivity: A pan-cancer analysis

    doi: 10.3389/fphar.2022.938134

    Figure Lengend Snippet: FDX1 is downregulated by elesclomol, resulting in inhibiting cell viability in BLCA, ccRCC, and PCa. (A,F,K) The expression level of FDX1 was evaluated in BLCA, ccRCC, and PCa cells and their corresponding normal cells by qRT-PCR and western blot. (B,G,L) The expression level of FDX1 in BLCA, ccRCC, and PCa cell lines treated with elesclomol after 16 h. (E,J,O) The fold Caspase 3/7 activity in BLCA, ccRCC, and PCa cell lines after treated with elesclomol after 16 h. (C,D,H,I,M,N) The cell viability of BLCA, ccRCC, and PCa cell lines after treatment with elesclomol.

    Article Snippet: The immortalized normal human urothelial cell line SV-HUC-1 and human bladder urothelial carcinoma (BLCA) cell lines T24 and 5637, and human proximal tubular epithelial cell line HK-2 and human clear cell renal cell carcinoma (ccRCC) cell lines 786-O and caki-1, and human normal prostatic epithelial cells RWPE-1 and human prostate cancer (PCa) cell lines PC-3 and DU145 were all purchased from Procell Life Science and Technology Co., Ltd. (Wuhan, China).

    Techniques: Expressing, Quantitative RT-PCR, Western Blot, Activity Assay