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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 985 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/5637+htb+9+human+blca+cell+lines/pmc12552429-83-28-41?v=ATCC
    Average 97 stars, based on 985 article reviews
    human blca cell line 5637 - by Bioz Stars, 2026-07
    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