Beta-catenin deletion and GSK3b inhibition in B-ALL cells
RNA-seq (gene expression) · mouse · 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
- Mus musculus (mouse)
- Samples
- 12 samples: 3 × ERT2 vs 3 × CreERT2 vs 3 × ERT2_Ly vs 3 × CreERT2_LyGroups 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
- Targeting β-catenin degradation with GSK3β inhibitors induces cell death in acute lymphoblastic leukemiaNature cancer · 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 GSE245287_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 PRJNA1027763 and SRA study SRP466169. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM7840249 ERT2_rep1 ERT2
- GSM7840250 ERT2_rep2 ERT2
- GSM7840251 ERT2_rep3 ERT2
- GSM7840252 CreERT2_rep1 CreERT2
- GSM7840253 CreERT2_rep2 CreERT2
- GSM7840254 CreERT2_rep3 CreERT2
- GSM7840255 ERT2_Ly_rep1 ERT2_Ly
- GSM7840256 ERT2_Ly_rep2 ERT2_Ly
- GSM7840257 ERT2_Ly_rep3 ERT2_Ly
- GSM7840258 CreERT2_Ly_rep1 CreERT2_Ly
- GSM7840259 CreERT2_Ly_rep2 CreERT2_Ly
- GSM7840260 CreERT2_Ly_rep3 CreERT2_Ly
- GSE301765 Deletion of AT1a (Angiotensin II Type 1a) Receptor or Inhibition of Angiotensinogen Synthesis Attenuates Thoracic Aortopathies in Fibrillin1C1041G/+ Mice 26 samples shares inhibition, deletion
- GSE283254 AS1842856: A dual FOXO1-GSK3 inhibitor for targeting B-ALL-specific molecular vulnerabilities 24 samples shares b-all
- GSE266166 B-ALL GPR65 expression influences susceptibility to CAR-T therapy through a VEGF and macrophage-dependent mechanism 22 samples shares b-all
- GSE280505 Leukaemia cell intrinsic and extrinsic factors cooperate to facilitate the survival and proliferation of KMT2A-rearranged B-ALL in the CNS niche. 16 samples shares b-all
- GSE318028 Pharmacological inhibition of FKBP51 mitigates early life adversity-induced social deficits 246 samples shares inhibition
- GSE337190 CAR-NKT cells induce low cytokine release syndrome by targeting hyperinflammatory macrophages with mitigation from GM-SCF inhibition. 24 samples shares inhibition
- GSE293819 Monitoring systemic immune responses to checkpoint inhibition in breast cancer reveals host responses and mechanisms of resistance 142 samples shares inhibition
- GSE234105 Effect of OLIG2 inhibition on medulloblastoma stem cells 18 samples shares inhibition
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.