IKAROS re-expression modulates transcriptional networks in IKZF1-mutant Ph+ B-ALL [RNA-Seq]
RNA-seq (gene expression) · human · 13 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
- 13 samples: 11 distinct titles, 2 of them repeatedGroups 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
- IKAROS Gene Regulatory Network Reveal ERG as a Vulnerability in B-cell Acute Lymphoblastic LeukemiabioRxiv : the preprint server for 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 GSE310958_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 PRJNA1367603 and SRA study SRP647547. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 13 sample titles: 11 distinct titles with little repetition. 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.
- GSM9313252 RNA-seq of PDX2 bulk sample
- GSM9313253 RNA-seq of MXP5 bulk sample
- GSM9313254 RNA-seq of LAX7 bulk sample
- GSM9313255 RNA-seq of LAX7R bulk sample
- GSM9313256 RNA-seq of MXP2 bulk sample
- GSM9313257 RNA-seq of SF05 bulk sample
- GSM9313258 RNA-seq of IAH8R bulk sample
- GSM9313259 RNA-seq of ICN1 bulk sample
- GSM9313260 RNA-seq of JFK10R bulk sample
- GSM9313472 RNA-seq of MXP5 GFP rep1
- GSM9313473 RNA-seq of MXP5 GFP rep2
- GSM9313474 RNA-seq of MXP5 IK1 rep1
- GSM9313475 RNA-seq of MXP5 IK1 rep2
- GSE310976 IKAROS re-expression modulates transcriptional networks in IKZF1-mutant Ph+ B-ALL 64 samples shares ikaros, b-all, re-expression, ikzf1-mutant, modulates, networks
- GSE310890 IKAROS re-expression modulates transcriptional networks in IKZF1-mutant Ph+ B-ALL [ChIP-Seq] 25 samples shares ikaros, b-all, re-expression, ikzf1-mutant, modulates, networks
- GSE310959 IKAROS re-expression modulates transcriptional networks in IKZF1-mutant Ph+ B-ALL [CUT&RUN] 14 samples shares ikaros, b-all, re-expression, ikzf1-mutant, modulates, networks
- GSE310887 IKAROS re-expression modulates transcriptional networks in IKZF1-mutant Ph+ B-ALL [ATAC-seq] 8 samples shares ikaros, b-all, re-expression, ikzf1-mutant, modulates, networks
- GSE310891 IKAROS re-expression modulates transcriptional networks in IKZF1-mutant Ph+ B-ALL [HiChIP] 4 samples shares ikaros, b-all, re-expression, ikzf1-mutant, modulates, networks
- GSE225754 IKAROS modulates CD19 surface expression and CD19-directed CAR-T response [RNA-seq] 12 samples shares ikaros, modulates, rna-seq
- GSE301716 Mezigdomide reverses T cell exhaustion through degradation of Aiolos/Ikaros and reinvigoration of cytokine production pathways [RNA-seq] 9 samples shares ikaros, rna-seq
- GSE301717 Mezigdomide reverses T cell exhaustion through degradation of Aiolos/Ikaros and reinvigoration of cytokine production pathways [scRNA-seq] 8 samples shares ikaros, rna-seq
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.