RNA-seq analysis of tumors derived from a xenograft model treated with the KDM5B inhibitors JB-157 or JB-161.
RNA-seq (gene expression) · human · 29 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
- 29 samples: 6 conditions, mostly with about 5 replicates eachGroups 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
- Identification of Novel Small-Molecule Inhibitors Targeting KDM5B and Evaluation of Their Antitumour EffectsCancer medicine · 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 GSE319664_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 PRJNA1424927 and SRA study SRP677709. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 29 samples.
How we read this: 6 replicated groups read from 29 sample titles; they account for 29 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.
- GSM9523144 Control-1 Control
- GSM9523145 Control-2 Control
- GSM9523146 Control-3 Control
- GSM9523147 Control-4 Control
- GSM9523148 Control-5 Control
- GSM9523149 5-FU-1 5-FU
- GSM9523150 5-FU-2 5-FU
- GSM9523151 5-FU-3 5-FU
- GSM9523152 5-FU-4 5-FU
- GSM9523153 JB-157-1 JB-157
- GSM9523154 JB-157-2 JB-157
- GSM9523155 JB-157-3 JB-157
- GSM9523156 JB-157-4 JB-157
- GSM9523157 JB-157-5 JB-157
- GSM9523158 JB-161-1 JB-161
- GSM9523159 JB-161-2 JB-161
- GSM9523160 JB-161-3 JB-161
- GSM9523161 JB-161-4 JB-161
- GSM9523162 JB-161-5 JB-161
- GSM9523163 JB-157, 5-FU-1 JB-157, 5-FU
- GSM9523164 JB-157, 5-FU-2 JB-157, 5-FU
- GSM9523165 JB-157, 5-FU-3 JB-157, 5-FU
- GSM9523166 JB-157, 5-FU-4 JB-157, 5-FU
- GSM9523167 JB-157, 5-FU-5 JB-157, 5-FU
- GSM9523168 JB-161, 5-FU-1 JB-161, 5-FU
- GSM9523169 JB-161, 5-FU-2 JB-161, 5-FU
- GSM9523170 JB-161, 5-FU-3 JB-161, 5-FU
- GSM9523171 JB-161, 5-FU-4 JB-161, 5-FU
- GSM9523172 JB-161, 5-FU-5 JB-161, 5-FU
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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.