Characterization of tumor cell lines derived from genetically engineered mouse models of bladder cancer
RNA-seq (gene expression) · mouse · 10 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 10 samples: 5 conditions, mostly in duplicateGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- Cell-of-origin and genetic drivers define advanced bladder cancer subtypes and potential therapeutic response in mouse modelsJournal of experimental & clinical cancer research : CR · 2026
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE302079_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1288480 and SRA study SRP599277. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 5 replicated groups read from 10 sample titles; they account for 10 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM9095517 4K5 cell line, replicate 1 4K5 cell line,
- GSM9095518 4K5 cell line, replicate 2 4K5 cell line,
- GSM9095519 3K20 cell line, replicate 1 3K20 cell line,
- GSM9095520 3K20 cell line, replicate 2 3K20 cell line,
- GSM9095521 CK5.A cell line, replicate 1 CK5.A cell line,
- GSM9095522 CK5.A cell line, replicate 2 CK5.A cell line,
- GSM9095523 K5.6 cell line, replicate 1 K5.6 cell line,
- GSM9095524 K5.6 cell line, replicate 2 K5.6 cell line,
- GSM9095525 CDK20.D cell line, replicate 1 CDK20.D cell line,
- GSM9095526 CDK20.D cell line, replicate 2 CDK20.D cell line,
- GSE292205 Transcriptional analysis of cell lines derived from primary mammary tumors and lung micrometastases 45 samples shares derived, lines
- GSE294562 Characterization of a panel of mouse primary cell lines from Myc-driven mammary gland tumours and lung metastasis derived from them 45 samples shares derived, lines
- GSE322551 Engineered bacteria as exogenous organelle mimics restore PTEN and p53 tumor suppressor functions for cancer therapy 30 samples shares engineered
- GSE285794 Cancer cell-derived arginine fuels polyamine biosynthesis in tumor-associated macrophages to promote immune evasion 12 samples shares derived
- GSE271004 Transcriptional Analyses of Acinar- And Ductal-Cell-Derived Pancreatic Cancer 59 samples shares derived
- GSE275728 Transcriptome analysis of pancreatic cancer cells with genetically modified Ptges or Ptger4 36 samples shares genetically
- GSE281318 Wild type and tumor-derived mutant p53 share a non-canonical mode of gene occupancy [RNA-seq] 35 samples shares derived
- GSE237783 Complex interaction of tumor-derived factors instructs the niche specific phenotypes of tumor-associated macrophages [RNA-Seq] 28 samples shares derived
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.