RBPMS inhibits bladder cancer migration and invasion by downregulating the MYC pathway through alternative splicing of ANKRD10
RNA-seq (gene expression) · human · 30 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
- 30 samples: 10 conditions, mostly in triplicateGroups 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
- RBPMS inhibits bladder cancer metastasis by downregulating MYC pathway through alternative splicing of ANKRD10Communications biology · 2025
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 GSE267762_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 PRJNA1112811 and SRA study SRP508376. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 30 samples.
How we read this: 10 replicated groups read from 30 sample titles; they account for 30 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.
- GSM8275268 5637 cells, WT1, rep1 5637 cells, WT1,
- GSM8275269 5637 cells, WT1, rep2 5637 cells, WT1,
- GSM8275270 5637 cells, WT1, rep3 5637 cells, WT1,
- GSM8275271 5637 cells, KO1, rep1 5637 cells, KO1,
- GSM8275272 5637 cells, KO1, rep2 5637 cells, KO1,
- GSM8275273 5637 cells, KO1, rep3 5637 cells, KO1,
- GSM8275274 5637 cells, WT2, rep1 5637 cells, WT2,
- GSM8275275 5637 cells, WT2, rep2 5637 cells, WT2,
- GSM8275276 5637 cells, WT2, rep3 5637 cells, WT2,
- GSM8275277 5637 cells, KO2, rep1 5637 cells, KO2,
- GSM8275278 5637 cells, KO2, rep2 5637 cells, KO2,
- GSM8275279 5637 cells, KO2, rep3 5637 cells, KO2,
- GSM8275280 5637 cells, Vector, rep1 5637 cells, Vector,
- GSM8275281 5637 cells, Vector, rep2 5637 cells, Vector,
- GSM8275282 5637 cells, Vector, rep3 5637 cells, Vector,
- GSM8275283 5637 cells, ANKRD10-1, rep1 5637 cells, ANKRD10-1,
- GSM8275284 5637 cells, ANKRD10-1, rep2 5637 cells, ANKRD10-1,
- GSM8275285 5637 cells, ANKRD10-1, rep3 5637 cells, ANKRD10-1,
- GSM8275286 5637 cells, ANKRD10-2, rep1 5637 cells, ANKRD10-2,
- GSM8275287 5637 cells, ANKRD10-2, rep2 5637 cells, ANKRD10-2,
- GSM8275288 5637 cells, ANKRD10-2, rep3 5637 cells, ANKRD10-2,
- GSM8275289 5637 cells, siNC, rep1 5637 cells, siNC,
- GSM8275290 5637 cells, siNC, rep2 5637 cells, siNC,
- GSM8275291 5637 cells, siNC, rep3 5637 cells, siNC,
- GSM8275292 5637 cells, siANKRD10-1, rep1 5637 cells, siANKRD10-1,
- GSM8275293 5637 cells, siANKRD10-1, rep2 5637 cells, siANKRD10-1,
- GSM8275294 5637 cells, siANKRD10-1, rep3 5637 cells, siANKRD10-1,
- GSM8275295 5637 cells, siANKRD10-2, rep1 5637 cells, siANKRD10-2,
- GSM8275296 5637 cells, siANKRD10-2, rep2 5637 cells, siANKRD10-2,
- GSM8275297 5637 cells, siANKRD10-2, rep3 5637 cells, siANKRD10-2,
- 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 myc
- GSE181389 Transcriptome profiling of HOXA13 and HOXB13 expression knockdown in bladder cancer cell lines. 59 samples same disease briefing
- GSE193755 Human bladder cancer cell line high throughput sequencing - genes regulated by hMSH2 12 samples same disease briefing
- GSE214886 Downregulation of CBX7 induced by EZH2 upregulates FGFR3 expression to reduce sensitivity to cisplatin in bladder cancer 12 samples same disease briefing
- GSE172359 Combination of urine exosomal mRNAs and lncRNAs as novel diagnostic biomarkers for bladder cancer 6 samples same disease briefing
- GSE182310 Transcriptome sequence of Human bladder cancer cell line 6 samples same disease briefing
- GSE193753 Human bladder cancer cell line high throughput sequencing - genes regulated by hMSH2 - CDDP therapy 6 samples same disease briefing
- GSE193754 Human bladder cancer cell line high throughput sequencing - genes regulated by hMSH2 - untreated 6 samples same disease briefing
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.