human blca cell line 5637 (ATCC)
Structured Review

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
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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
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:
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
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
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
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:
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
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
