ccrcc cell lines 786o (ATCC)
Structured Review

Ccrcc Cell Lines 786o, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 2265 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/ccrcc+cell+lines+786o/786-O/pmc12287010-70-1-12
Average 99 stars, based on 2265 article reviews
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1) Product Images from "CRISPR/Cas9-based discovery of ccRCC therapeutic opportunities through molecular mechanism and immune microenvironment analysis"
Article Title: CRISPR/Cas9-based discovery of ccRCC therapeutic opportunities through molecular mechanism and immune microenvironment analysis
Journal: Frontiers in Immunology
doi: 10.3389/fimmu.2025.1619361
Figure Legend Snippet: Identification of 11 Important DEGs in ccRCC. (A) Venn diagram of genes in the TCGA and DEPMap datasets. (B) Expression heatmap of the eleven genes in normal versus tumor samples. (C) Differential expression levels of the eleven genes in normal and tumor samples. (D) Locations of the DEGs on chromosomes. (E) Expression correlation analysis of the eleven DEGs. *p < 0.05; **p < 0.01; ***p < 0.001.
Techniques Used: Expressing, Quantitative Proteomics
Figure Legend Snippet: Multi method validation of risk score-derived prognostic models. (A) KM survival curves demonstrated markedly shorter overall survival in high-risk ccRCC patients relative to those in the low-risk group. (B) ROC analysis of the DEGs prognostic signature for predicting the 1/3/5-year survival. (C, D) Risk score stratification and survival duration distribution in ccRCC cohort. (E) PCA discriminates high- and low-risk groups using whole transcriptome data. (F) KM survival analysis of ccRCC patients stratified by risk score in the GEO validation cohort ( GSE26909 , n=39).
Techniques Used: Biomarker Discovery, Derivative Assay
Figure Legend Snippet: Construction of a nomogram for prediction prognosis. (A) Univariate Cox regression analysis identified grade, stage, T stage, M stage, and risk score as significant prognostic factors. (B) Multivariate Cox regression identifies risk score and age as independent prognostic predictors. (C) Prognostic nomogram incorporating risk score and age for ccRCC survival probability. (D–F) Calibration curves demonstrate the accuracy of 1-year, 3-year, and 5-year overall survival predictions.
Techniques Used:
Figure Legend Snippet: Correlation of immune microenvironment with risk score. (A) Immune cell infiltration landscape in ccRCC revealed by CIBERSORT. (B–F) Linear regression models demonstrate risk score-dependent immune cell infiltration patterns. (G) Differential immune cell distribution between risk groups. (H–J) Risk-stratified therapeutic sensitivity to pazopanib, sunitinib, and temsirolimus.
Techniques Used:
Figure Legend Snippet: MELK is a poor prognostic marker in ccRCC. (A) Significant variations in overall survival between ccRCC patients with high and low MELK expression. (B, C) Immunohistochemical evidence of MELK overexpression in tumor tissues versus NAT. (D) Successful MELK knockdown confirmed by western blot across 769P, 786O and Caki-1 cell lines. (E) Silencing MELK suppressed proliferation abilities in 769P, 786O and Caki-1 cells. (F–I) Silencing MELK suppressed migration abilities as measured via transwell assay (F) and scratch assay (G–I) in 769P, 786O and Caki-1 cells. * p < 0.05; ** p < 0.01; *** p < 0.001.
Techniques Used: Marker, Expressing, Immunohistochemical staining, Over Expression, Knockdown, Western Blot, Migration, Transwell Assay, Wound Healing Assay
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Expressing:Article Title: CRISPR/Cas9-based discovery of ccRCC therapeutic opportunities through molecular mechanism and immune microenvironment analysis Article Snippet: The Quantitative Proteomics:Article Title: CRISPR/Cas9-based discovery of ccRCC therapeutic opportunities through molecular mechanism and immune microenvironment analysis Article Snippet: The Biomarker Discovery:Article Title: CRISPR/Cas9-based discovery of ccRCC therapeutic opportunities through molecular mechanism and immune microenvironment analysis Article Snippet: The Derivative Assay:Article Title: CRISPR/Cas9-based discovery of ccRCC therapeutic opportunities through molecular mechanism and immune microenvironment analysis Article Snippet: The Marker:Article Title: CRISPR/Cas9-based discovery of ccRCC therapeutic opportunities through molecular mechanism and immune microenvironment analysis Article Snippet: The Immunohistochemical staining:Article Title: CRISPR/Cas9-based discovery of ccRCC therapeutic opportunities through molecular mechanism and immune microenvironment analysis Article Snippet: The Over Expression:Article Title: CRISPR/Cas9-based discovery of ccRCC therapeutic opportunities through molecular mechanism and immune microenvironment analysis Article Snippet: The Knockdown:Article Title: CRISPR/Cas9-based discovery of ccRCC therapeutic opportunities through molecular mechanism and immune microenvironment analysis Article Snippet: The Western Blot:Article Title: CRISPR/Cas9-based discovery of ccRCC therapeutic opportunities through molecular mechanism and immune microenvironment analysis Article Snippet: The Migration:Article Title: CRISPR/Cas9-based discovery of ccRCC therapeutic opportunities through molecular mechanism and immune microenvironment analysis Article Snippet: The Transwell Assay:Article Title: CRISPR/Cas9-based discovery of ccRCC therapeutic opportunities through molecular mechanism and immune microenvironment analysis Article Snippet: The Wound Healing Assay:Article Title: CRISPR/Cas9-based discovery of ccRCC therapeutic opportunities through molecular mechanism and immune microenvironment analysis Article Snippet: The |



