Study of CPI-0209 in patients with advanced tumors.
RNA-seq (gene expression) · human · 106 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)
- Samples
- 106 samples: 32 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
- Comprehensive Target Engagement by the EZH2 Inhibitor Tulmimetostat Allows for Targeting of ARID1A Mutant CancersCancer research · 2024
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 GSE176490_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 PRJNA736432 and SRA study SRP323411. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 92 samples.
How we read this: 32 replicated groups read from 106 sample titles; they account for 92 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.
- GSM5366359 PT1-MT Cycle 1 Day 22 PT1-MT Cycle 1 Day
- GSM5366360 PT1-MT Cycle 1 Day 1 PT1-MT Cycle 1 Day
- GSM5366361 PT2-MT Cycle 1 Day 1 PT2-MT Cycle 1 Day
- GSM5366362 PT2-MT Cycle 1 Day 22 PT2-MT Cycle 1 Day
- GSM5366363 PT3-MT Cycle 1 Day 1 PT3-MT Cycle 1 Day
- GSM5366364 PT3-MT Cycle 1 Day 22 PT3-MT Cycle 1 Day
- GSM5366365 PT4-MT Cycle 1 Day 22 PT4-MT Cycle 1 Day
- GSM5366366 PT4-MT Cycle 1 Day 1 PT4-MT Cycle 1 Day
- GSM5366367 PT5-MT Cycle 1 Day 1 PT5-MT Cycle 1 Day
- GSM5366368 PT5-MT Cycle 1 Day 22 PT5-MT Cycle 1 Day
- GSM5366369 PT5-MT Cycle 1 Day 15 PT5-MT Cycle 1 Day
- GSM5366370 PT5-MT Cycle 1 Day 8 PT5-MT Cycle 1 Day
- GSM5366371 PT5-MT Cycle 3 Day 1
- GSM5366372 PT5-MT Cycle 2 Day 1
- GSM5366373 PT6-MT Cycle 1 Day 1 PT6-MT Cycle 1 Day
- GSM5366374 PT6-MT Cycle 1 Day 22 PT6-MT Cycle 1 Day
- GSM5366375 PT6-MT Cycle 1 Day 15 PT6-MT Cycle 1 Day
- GSM5366376 PT6-MT Cycle 1 Day 8 PT6-MT Cycle 1 Day
- GSM5366377 PT6-MT Cycle 2 Day 1
- GSM5366378 PT7-MT Cycle 1 Day 1 PT7-MT Cycle 1 Day
- GSM5366379 PT7-MT Cycle 1 Day 22 PT7-MT Cycle 1 Day
- GSM5366380 PT8-MT Cycle 1 Day 1 PT8-MT Cycle 1 Day
- GSM5366381 PT8-MT Cycle 1 Day 22 PT8-MT Cycle 1 Day
- GSM5366382 PT9-MT Cycle 1 Day 1 PT9-MT Cycle 1 Day
- GSM5366383 PT9-MT Cycle 1 Day 22 PT9-MT Cycle 1 Day
- GSM5366384 PT10-MT Cycle 1 Day 1 PT10-MT Cycle 1 Day
- GSM5366385 PT10-MT Cycle 1 Day 8 PT10-MT Cycle 1 Day
- GSM5366386 PT10-MT Cycle 1 Day 15 PT10-MT Cycle 1 Day
- GSM5366387 PT10-MT Cycle 1 Day 22 PT10-MT Cycle 1 Day
- GSM5366388 PT11-MT Cycle 1 Day 22 PT11-MT Cycle 1 Day
- GSM5366389 PT11-MT Cycle 1 Day 1 PT11-MT Cycle 1 Day
- GSM5366390 PT12-MT Cycle 1 Day 1 PT12-MT Cycle 1 Day
- GSM5366391 PT12-MT Cycle 1 Day 22 PT12-MT Cycle 1 Day
- GSM5366392 PT12-MT Cycle 1 Day 8 PT12-MT Cycle 1 Day
- GSM5366393 PT12-MT Cycle 1 Day 15 PT12-MT Cycle 1 Day
- GSM5366394 PT12-MT Cycle 2 Day 1
- GSM5366395 PT13-MT Cycle 1 Day 1 PT13-MT Cycle 1 Day
- GSM5366396 PT13-MT Cycle 1 Day 22 PT13-MT Cycle 1 Day
- GSM5366397 PT13-MT Cycle 1 Day 15 PT13-MT Cycle 1 Day
- GSM5366398 PT13-MT Cycle 1 Day 8 PT13-MT Cycle 1 Day
+ 66 more — browse all 106 samples with per-sample file links →
- GSE176362 Transcriptomic change of bladder cancer cell lines treated with CPI-0209 [2] 48 samples shares cpi-0209
- GSE176358 Transcriptomic change of ARDI1A mutant bladder cancer cell line treated with CPI-0209 or induced ARID1A expression 24 samples shares cpi-0209
- GSE176493 Comprehensive target engagement by EZH2 inhibitor CPI-0209 allows for preferential targeting of ARID1A mutant urothelial carcinoma 252 samples shares cpi-0209
- GSE254762 Deciphering the Tumor Immune Microenvironment of Imatinib-Resistance in Advanced Gastrointestinal Stromal Tumors at Single-Cell Resolution 9 samples shares advanced
- GSE176477 Epigenomic change of ARDI1A mutant bladder cancer cell line treated with CPI-0209 or induced ARID1A expression 48 samples shares cpi-0209
- GSE275677 RUNX2 as a novel Biomarker for early identification of Patients Progressing to Advanced-Stage Mycosis Fungoides 68 samples shares advanced
- GSE285619 Genomic analysis to identify correlates of the inflamed tumor phenotype in patients with advanced malignancies receiving immunotherapy 60 samples shares advanced
- GSE319884 Genomic analysis to identify correlates of the inflamed tumor phenotype in patients with advanced malignancies receiving immunotherapy 41 samples shares advanced
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.