GEO series

Antiandrogen treatment endows ZMYDN8 dependent epigenetic reprogramming to orchestrate neuroendocrine tumor transdifferentiation [scRNA-seq]

GSE249889 Mus musculus (mouse) Single-cell RNA-seq 3 samples Submitted 2024/12/19 Platform GPL24247

At a glance

Single-cell RNA-seq · mouse · 3 samples

What it is: Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism: Mus musculus (mouse)
Samples: 3 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.

Summary (written by the submitters)

The transdifferentiation from adenocarcinoma following androgen deprivation therapy (ADT) is thought to be the primary process leading to the development of neuroendocrine prostate cancer (NEPC). However, it remains unclear how lineage factors interact with ADT to endow the lineage transition. Through an integrated analysis of NEPC-based CRISPR-Cas9 screening and scRNA-seq tracking of tumor transitions, we unveil that antiandrogen-induced ZMYND8-dependent epigenetic programming orchestrates the transdifferentiation of NEPC.

Read the full summary ↓

We demonstrate that the ablation of Zmynd8 restricts NEPC development in Pten/Trp53/Rb1 knockout mouse models. Conversely, ASCL1-induced upregulation of ZMYND8 shapes the neuroendocrine (NE) lineage to confer resistance to AR-targeted therapy. Mechanistically, FOXM1, a key regulator in castration-resistant prostate cancer (CRPC), stabilizes ZMYND8 binding to chromatin regions harboring H3K4me1-K14ac modification and FOXM1 targeting. Antiandrogen treatment frees the SWI/SNF chromatin remodeling complex from AR, enabling its interaction with ZMYND8/FOXM1 to upregulate key NE lineage regulators (e.g., FOXA2, SOX2, and POU3F2), thus inducing transdifferentiation. Having identified ZMYND8's link to adverse disease outcomes in CRPC patients, we develop a small molecule, ZMYND8i-34, designed to selectively inhibit its histone recognition. In pre-clinical models, ZMYND8i-34 treatment effectively blocks NE transdifferentiation and curtails CRPC development. Together, our results highlight the importance of antiandrogen treatment endowing ZMYND8-dependent epigenetic reprogramming to orchestrate lineage fate and suggest that targeting ZMYND8 may hold the potential to restrict NEPC development and overcome treatment resistance.

This dataset

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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.

Series matrix ↓

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 GSE249889_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓

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.

Raw reads on ENA ↗

What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1051091 and SRA study SRP477460. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Samples in this study

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+ 3 more — browse all 3 samples with per-sample file links →

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