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Circular RMST cooperates with lineage-driving transcription factors to govern neuroendocrine transdifferentiation

GSE239702 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 27 samples Submitted 2025/03/03 Platform GPL24676Platform GPL34284Platform GPL20301
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 27 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Topic
Small cell lung cancerThis series is part of our curated briefing on it.
Samples
27 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
Circular RMST cooperates with lineage-driving transcription factors to govern neuroendocrine transdifferentiationCancer cell · 2025
Summary (written by the submitters)
Circular RNA (circRNA) is a class of noncoding RNA with regulatory potentials. It is unexplored how they may be functionally involved in the transdifferentiation of prostate and lung adenocarcinoma to neuroendocrine prostate cancer (NEPC) and small cell lung cancer (SCLC). Here we identified an exceptionally abundant circRNA circRMST predominantly expressed in NEPC and SCLC and conserved between humans and mice.
Read the full summary ↓
Using shRNA, siRNA, CRISPR-Cas13 and Cas9, we consistently showed that circRMST is essential for tumour growth and for the expression of ASCL1, a master regulator of neuroendocrine fate. Genetic knockout of Rmst in NEPC genetic engineered mouse models led to a prevention of neuroendocrine transdifferentiation and sustained tumours in adenocarcinoma state. Mechanistically, circRMST physically interacts with lineage transcription factors NKX2-1 and SOX2. Loss of circRMST induces NKX2-1 protein degradation through autophagy-lysosomal pathway and alters the genomic binding of SOX2, which collectively leads to the loss of ASCL1 transcription.
Published in
Circular RMST cooperates with lineage-driving transcription factors to govern neuroendocrine transdifferentiation
Teng M, Guo J, Xu X et al. · Cancer cell 2025 · PMID 40250444 · doi:10.1016/j.ccell.2025.03.027
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 GSE239702_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1000593 and SRA study SRP452371. Searching any of these in the dataset finder brings you back here.

Samples in this study

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