← BioTransfer GEO Dataset Finder
GEO series

Bone morphogenetic protein (BMP) signaling determines neuroblastoma cell fate and sensitivity to retinoic acid [RNA-seq]

GSE253785 Homo sapiens (human) RNA-seq (gene expression) 17 samples Submitted 2024/05/31 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 17 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
17 samples: 17 samples, each with a distinct title — no replicated groupsGroups 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
Bone morphogenetic protein (BMP) signaling determines neuroblastoma cell fate and sensitivity to retinoic acidNature communications · 2025
Summary (written by the submitters)
Retinoic acid (RA) is a standard-of-care neuroblastoma drug thought to act primarily via differentiation. However, this has never been conclusively demonstrated in vivo. Curiously, RA has little effect shrinking primary human tumors when applied in upfront treatment but can eliminate neuroblastoma cells from the bone marrow during consolidation therapy—a discrepancy that has never been explained.
Read the full summary ↓
To investigate this, we treated a large cohort of neuroblastoma cell lines with RA and observed that the most RA-sensitive cells tended to undergo apoptosis or senescence, rather than differentiation. We conducted genome-wide CRISPR knockout screens under RA treatment, which identified BMP signaling as controlling the apoptosis/senescence vs differentiation cell fate decision and RA’s overall potency. We then conducted integrative analysis of high throughput ChIP-seq and RNA-seq data, which indicates that downstream BMP and RA transcription factors cooperate to determine cell fate, following exposure to RA.
Published in
Bone morphogenetic protein (BMP) signaling determines neuroblastoma cell fate and sensitivity to retinoic acid
Pan M, Zhang Y, Wright WC et al. · Nature communications 2025 · PMID 40021625 · doi:10.1038/s41467-025-57185-y
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 GSE253785_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 PRJNA1067126 and SRA study SRP484943. Searching any of these in the dataset finder brings you back here.

Study design
17 samples, each with a distinct title — no replicated groups

Supports a case/control comparison: 4 samples read as cases, 2 as controls.

How we read this: Read from 17 sample titles: 17 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.

Samples in this study
Datasets on a similar topic

Search all human 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.