← BioTransfer GEO Dataset Finder
GEO series

STAT3 inhibition permits epigenetic reprogramming and TLR9/IRF8-driven differentiation of inv(16) acute myeloid leukemia [RNASEQ_AML_CPGDOX]

GSE233095 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2024/07/23 Platform GPL17021
At a glance

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 × PBS vs 3 × CpG1668 vs 3 × Combination vs 3 × doxycyclineGroups 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)
Cultured acute myeloid leukemia (AML) blasts can differentiate into antigen-presenting cells but achieving leukemic cell immunogenicity proved challenging in clinical setting. Despite expressing multiple immunostimulatory receptors, such as Toll-like Receptor 9 (TLR9), AML cells resist immunostimulation. We previously demonstrated that eliminating Signal Transducer and Activator of Transcription 1 and 3 (STAT1/3) signaling in AML cells using decoy DNA strategy (CpG-STAT3dODN) synergized with TLR9 stimulation and resulted in T cell-mediated leukemia regression.
Read the full summary ↓
Here, we interrogated the molecular underpinnings of CpG-STAT3dODN-driven differentiation and immunogenicity of mouse Cbfb/MYH11/Mpl AML. The transcriptional profiling of AML cells isolated from mice after inducible Stat3 silencing plus TLR9 stimulation or CpG-STAT3dODN treatment, revealed comparable upregulation of genes related to myeloid cell differentiation (Irf8, Cebpa) and immune stimulation (Gadd45a, Ciita, Il12a, Ifng) but decreased expression of leukemia-promoting Runx1 and Run1t1. The conditional Irf8 silencing in AML cells almost completely abrogated TLR9-driven leukemia cell differentiation. The AML cell reprogramming by CpG-STAT3dODN was likely regulated epigenetically as revealed by reduced global promoter hypomethylation of crucial myeloid cell differentiation and immune activation genes. These changes were associated with reduced expression of known STAT3 targets, DNMT1 and DNMT3a/b. Finally, we provide initial evidence of anti-leukemic effects of CpG-STAT3 inhibitor against human AML model in humanized mice. Our studies suggest that, beyond oncogenic functions, STAT3 in AML cells may be a primary checkpoint in control of immune-stimulatory and differentiation driving effects. These findings support further development of CpG-STAT3 inhibitors as a new bi-functional agents for AML immunotherapy.
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 GSE233095_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 PRJNA974911 and SRA study SRP438874. Searching any of these in the dataset finder brings you back here.

Study design
3 × PBS vs 3 × CpG1668 vs 3 × Combination vs 3 × doxycycline

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.

Samples in this study
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.