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KDM4 inhibition disrupts the core regulatory transcriptional circuitry in MYCN-driven neuroblastoma [RNA-seq]

GSE164455 Homo sapiens (human) RNA-seq (gene expression) 33 samples Submitted 2024/03/04 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 33 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
33 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
Histone lysine demethylase 4 family proteins maintain the transcriptional program and adrenergic cellular state of MYCN-amplified neuroblastomaCell reports. Medicine · 2024
Summary (written by the submitters)
A small set of interconnected lineage-specific transcription factors (TFs) form a core regulatory circuitry (CRC) that establishes and maintains cell identity and grants selective dependencies of distinct cancer types. However, effective therapies to targeting CRC TFs remain lacking. Here, we show that the best-in-class KDM4 inhibitor QC6352 has a potent anticancer activity in MYCN-driven high-risk neuroblastoma and significantly represses the CRC TFs including MYCN, HAND2, ASCL1, PHOX2B by disrupting the super-enhancers that dominate the expression of CRC TFs.
Read the full summary ↓
Furthermore, we have developed a combination therapy by integrating QC6352 into cytotoxic chemotherapy, which leads to a complete response of MYCN amplified tumors and a better animal survival. This study reveals that targeting histone lysine demethylase 4 family may transform into a therapeutic strategy in clinic for cancers driven by CRC TFs.
Published in
Histone lysine demethylase 4 family proteins maintain the transcriptional program and adrenergic cellular state of MYCN-amplified neuroblastoma
Abu-Zaid A, Fang J, Jin H et al. · Cell reports. Medicine 2024 · PMID 38508144 · doi:10.1016/j.xcrm.2024.101468
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 GSE164455_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 PRJNA690792 and SRA study SRP300910. Searching any of these in the dataset finder brings you back here.

Samples in this study

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