Identification of Lineage-specific Transcriptional Factor–defined Molecular Subtypes in Small Cell Bladder Cancer
RNA-seq (gene expression) · human · 44 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
- Homo sapiens (human)
- Topic
- Bladder cancerThis series is part of our curated briefing on it.
- Samples
- 44 samples
- 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
- Identification of Lineage-specific Transcriptional Factor-defined Molecular Subtypes in Small Cell Bladder CancerEuropean urology · 2024
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 GSE269750_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 PRJNA1123614 and SRA study SRP513720. Searching any of these in the dataset finder brings you back here.
The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Sample titles run SCBC1 … SCBC44 and carry no group information.
- GSM8326379 SCBC1
- GSM8326380 SCBC2
- GSM8326381 SCBC3
- GSM8326382 SCBC4
- GSM8326383 SCBC5
- GSM8326384 SCBC6
- GSM8326385 SCBC7
- GSM8326386 SCBC8
- GSM8326387 SCBC9
- GSM8326388 SCBC10
- GSM8326389 SCBC11
- GSM8326390 SCBC12
- GSM8326391 SCBC13
- GSM8326392 SCBC14
- GSM8326393 SCBC15
- GSM8326394 SCBC16
- GSM8326395 SCBC17
- GSM8326396 SCBC18
- GSM8326397 SCBC19
- GSM8326398 SCBC20
- GSM8326399 SCBC21
- GSM8326400 SCBC22
- GSM8326401 SCBC23
- GSM8326402 SCBC24
- GSM8326403 SCBC25
- GSM8326404 SCBC26
- GSM8326405 SCBC27
- GSM8326406 SCBC28
- GSM8326407 SCBC29
- GSM8326408 SCBC30
- GSM8326409 SCBC31
- GSM8326410 SCBC32
- GSM8326411 SCBC33
- GSM8326412 SCBC34
- GSM8326413 SCBC35
- GSM8326414 SCBC36
- GSM8326415 SCBC37
- GSM8326416 SCBC38
- GSM8326417 SCBC39
- GSM8326418 SCBC40
+ 4 more — browse all 44 samples with per-sample file links →
- GSE181389 Transcriptome profiling of HOXA13 and HOXB13 expression knockdown in bladder cancer cell lines. 59 samples same disease briefing · shares bladder
- GSE193755 Human bladder cancer cell line high throughput sequencing - genes regulated by hMSH2 12 samples same disease briefing · shares bladder
- GSE214886 Downregulation of CBX7 induced by EZH2 upregulates FGFR3 expression to reduce sensitivity to cisplatin in bladder cancer 12 samples same disease briefing · shares bladder
- GSE211924 UCHL5 promotes Tumorigenesis of Bladder Cancer by Activating AKT/mTOR signaling pathway and targeting c-myc, SLC25A19, and ICAM5. 9 samples same disease briefing · shares bladder
- GSE172359 Combination of urine exosomal mRNAs and lncRNAs as novel diagnostic biomarkers for bladder cancer 6 samples same disease briefing · shares bladder
- GSE182310 Transcriptome sequence of Human bladder cancer cell line 6 samples same disease briefing · shares bladder
- GSE193753 Human bladder cancer cell line high throughput sequencing - genes regulated by hMSH2 - CDDP therapy 6 samples same disease briefing · shares bladder
- GSE193754 Human bladder cancer cell line high throughput sequencing - genes regulated by hMSH2 - untreated 6 samples same disease briefing · shares bladder
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.