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Inhibition of SP/KLF transcription regulatory network and histone deacetylases acts synergistically against H3K27M-DIPG

GSE255013 Homo sapiens (human) RNA-seq (gene expression) 16 samples Submitted 2025/02/20 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 16 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
16 samples
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 the SP/KLF Transcriptional Regulatory Network Synergizes with HDAC Inhibition to Impede Progression of H3K27M Diffuse Intrinsic Pontine GliomaCancer research · 2025
Summary (written by the submitters)
Diffuse intrinsic pontine gliomas (DIPGs), frequently harboring H3K27M mutations, are lethal pediatric brain tumors within no effective treatment. Here our epigenomic analyses uncover a marked enrichment of the SP/KLF transcription factors in open chromatin regions specifically in H3K27M-mutated DIPG cells compared to normal pontine neural progenitor cells.
Read the full summary ↓
We show that SP1 depletion or inhibition of SP/KLF DNA binding with EC-8042, an optimized Mithramycin analog, significantly suppresses the proliferation and invasiveness of H3K27M-DIPG cells. In a screen of epigenetic drugs, we find that histone deacetylase inhibitors (HDACi) synergize with EC-8042 to suppress H3K27M-DIPG cell growth. The RNA-seq in SU-DIPG-IV and SU-DIPG-XVII cells after treated with DMSO, EC-8042, vorinostat and combination vorinostat with EC-8042 revealed that HDACi activates transcriptional programs that enhance tumor adaptability and invasiveness, an effect counteracted by EC-8042. And EC-8042 in combination with HDACi synergistically represses the expression of cell cycle-associated genes and therefore suppresses H3K27M-DIPG cell proliferation, inhibiting tumor progression in orthotopic xenograft models. Transcriptomic analysis further supports that the combination treatment drives transcriptional programs correlating with favorable prognosis in DIPG patients. Therefore, our regulome profiling in H3K27M-DIPGs has provided mechanistic insights into HDACi resistance and a proof-of-concept for novel targeting therapeutics.
Published in
Targeting the SP/KLF Transcriptional Regulatory Network Synergizes with HDAC Inhibition to Impede Progression of H3K27M Diffuse Intrinsic Pontine Glioma
Kong Y, Wang F, Jing R et al. · Cancer research 2025 · PMID 40053472 · doi:10.1158/0008-5472.CAN-24-2227
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 GSE255013_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 PRJNA1073199 and SRA study SRP488020. Searching any of these in the dataset finder brings you back here.

Samples in this study

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