Copied to clipboard!

Bulk RNA Sequencing of 112 Bladder Cancer Tumor Samples Using Lexogen QuantSeq 3′ mRNA-Seq

Bulk RNA sequencing dataset comprising tumor samples from 112 bladder cancer patients. Gene expression profiling was performed using the Lexogen QuantSeq 3′ mRNA-Seq library preparation protocol, which generates strand-specific 3′ end transcript libraries for digital gene expression quantification. The dataset provides transcriptomic profiles for molecular characterization of bladder cancer and supports studies of tumor biology, biomarker discovery, and clinical outcome associations.

Type: RNASeq
Archive: European Genome-phenome Archive (EGA)

3 Datasets

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD50000002920	This controlled-access dataset comprises raw single-end FASTQ files generated from 137 bladder cancer tumor samples collected from 112 patients using the Lexogen QuantSeq 3′ mRNA-Seq protocol on the Illumina NovaSeq 6000 platform. Access is governed by the Bladder Cancer Genomics Data Access Committee (DAC) and the associated controlled-access policy.	Illumina NovaSeq 6000	137
EGAD50000002921	This controlled-access dataset contains processed gene-level expression counts generated from 137 bladder cancer tumor samples collected from 112 patients. Gene expression quantification was performed using the nf-core/rnaseq workflow with Salmon, and transcript-level abundance estimates were aggregated to gene-level counts. Access is governed by the Bladder Cancer Genomics Data Access Committee (DAC) and the associated controlled-access policy.	Illumina NovaSeq 6000	137
EGAD50000002922	This controlled-access dataset contains curated clinical metadata associated with 137 bladder cancer tumor samples obtained from 112 patients. Variables include patient demographics, clinician-assigned phenotype, overall survival (OS), progression-free survival (PFS), and corresponding event status variables. Access is governed by the Bladder Cancer Genomics Data Access Committee (DAC) and the associated controlled-access policy.	Illumina NovaSeq 6000	137