GSE151505: Gene expression profile of bladder cancer cell lines treated with Mitomycin C

Gene Expression Data Explorer
Info Gene counts are sourced from ARCHS4, which provides uniform alignment of GEO samples. You can learn more about ARCHS4 and its pipeline here.
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GROUP CONDITION SAMPLES
bladder cancer cell line 5637
GSM4579766 GSM4579768 GSM4579770
GSM4579765 GSM4579767 GSM4579769
bladder cancer cell line CLS-439
GSM4579778 GSM4579780 GSM4579782
GSM4579777 GSM4579779 GSM4579781
bladder cancer cell line T24
GSM4579760 GSM4579762 GSM4579764
GSM4579759 GSM4579761 GSM4579763
bladder cancer cell line TCC-SUP
GSM4579772 GSM4579774 GSM4579776
GSM4579771 GSM4579773 GSM4579775
Description

Submission Date: May 30, 2020

Summary: Mitomycin C (MMC) is the gold standard treatment for non-muscle invasive bladder cancer (NMIBC). We aimed to evaluate in bladder cancer cell lines (T24, 5637, TCC-SUP and CLS-439) the transcriptomic response to MMC treatment. We used Gene Set Enrichment Analysis (GSEA) to identify biological processes and pathways modulated by MMC treatment.

GEO Accession ID: GSE151505

PMID: 33408185

Description

Submission Date: May 30, 2020

Summary: Mitomycin C (MMC) is the gold standard treatment for non-muscle invasive bladder cancer (NMIBC). We aimed to evaluate in bladder cancer cell lines (T24, 5637, TCC-SUP and CLS-439) the transcriptomic response to MMC treatment. We used Gene Set Enrichment Analysis (GSEA) to identify biological processes and pathways modulated by MMC treatment.

GEO Accession ID: GSE151505

PMID: 33408185

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Precomputed Differential Gene Expression

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Differential Gene Expression Analysis
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Bulk RNA-seq Appyter

This pipeline enables you to analyze and visualize your bulk RNA sequencing datasets with an array of downstream analysis and visualization tools. The pipeline includes: PCA analysis, Clustergrammer interactive heatmap, library size analysis, differential gene expression analysis, enrichment analysis, and L1000 small molecule search.