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Downregulation of CBX7 induced by EZH2 upregulates FGFR3 expression to reduce sensitivity to cisplatin in bladder cancer

GSE214886 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/10/05 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 12 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
12 samples: 3 × 786-O cells, sh control vs 3 × 786-O cells, shCBX7 vs 3 × 5637 cells, shCBX7Groups 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.
Summary (written by the submitters)
Cisplatin-based cytotoxic chemotherapy is considered to be the first-line therapy for advanced bladder cancer (BC), but resistance to cisplatin limits its antitumor effect. Fibroblast growth factor receptor 3 (FGFR3) has been reported to contribute to the progression and cisplatin resistance of BC. Meanwhile, chromobox protein homolog 7 (CBX7) was reported to inhibit BC progression. And our previous RNA-seq data on CBX7 (GSE185630) suggested that CBX7 might repress FGFR3,but the underlying mechanism and other cancer-related functions of CBX7 are still unknown.
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE214886_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA887467 and SRA study SRP401209. Searching any of these in the dataset finder brings you back here.

Study design
3 × 786-O cells, sh control vs 3 × 786-O cells, shCBX7 vs 3 × 5637 cells, shCBX7

Supports a between-group comparison across 9 samples.

How we read this: 3 replicated groups read from 12 sample titles; they account for 9 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.

Samples in this study
More Bladder cancer datasets

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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.