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NSD2 is a requisite subunit of the AR/FOXA1 neo-enhanceosome in promoting prostate tumorigenesis [RNA-seq]

GSE242735 Homo sapiens (human) RNA-seq (gene expression) 32 samples Submitted 2024/03/20 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 32 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
32 samples: 16 conditions, mostly in duplicateGroups 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
NSD2 is a requisite subunit of the AR/FOXA1 neo-enhanceosome in promoting prostate tumorigenesisbioRxiv : the preprint server for biology · 2024
Summary (written by the submitters)
Androgen receptor (AR) is a ligand-responsive transcription factor that binds at enhancers to drive terminal differentiation of the prostatic luminal epithelia. By contrast, in tumors originating from these cells, AR chromatin occupancy is extensively reprogrammed to drive hyper-proliferative, metastatic, or therapy-resistant phenotypes, the molecular mechanisms of which remain poorly understood.
Read the full summary ↓
Here we show that the tumor-specific enhancer circuitry of AR is critically reliant on the activity of Nuclear Receptor Binding SET Domain Protein 2 (NSD2), a histone 3 lysine 36 di-methyltransferase. NSD2 is ectopically expressed in prostate cancer cells and catalytic inhibition of NSD2 impairs AR trans-activation potential through partial off-loading from over 40,000 genomic sites or greater than 65% of its cistrome. The NSD2-dependent AR sites distinctly harbor a chimeric AR-half motif juxtaposed to a FOXA1 element. Similar chimeric motifs of AR are absent at the NSD2-independent AR enhancers and contain the canonical palindromic motifs instead. Meta-analyses of AR cistromes from patient tumors uncovered chimeric AR motifs to exclusively participate in tumor-specific enhancer circuitries, with a minimal role in physiological activity of AR. Accordingly, NSD2 inactivation attenuated hallmark cancer phenotypes that were fully reinstated upon exogenous NSD2 re-expression. Inactivation of NSD2 also engendered increased dependency on its paralog NSD1, which independently maintained AR and MYC hyper-transcriptional programs in cancer cells. Therapeutically exploiting these insights, we developed a dual NSD1/2 PROTAC degrader, called LLC0150, which was preferentially cytotoxic in AR-dependent prostate cancer and synergized with enzalutamide. In a pan-cancer screen, comprising over 120 cell lines from 22 distinct lineages, NSD1/2 co-degradation triggered apoptotic cell death in AR-addicted prostate cancer as well as NSD2-altered hematologic malignancies. Altogether, we identify NSD2 as a novel subunit of the AR neo-enhanceosome that wires prostate cancer gene expression programs, positioning NSD1/2 paralog co-targeting as a novel and potent therapeutic strategy.
Published in
NSD2 is a requisite subunit of the AR/FOXA1 neo-enhanceosome in promoting prostate tumorigenesis
Parolia A, Eyunni S, Verma BK et al. · bioRxiv : the preprint server for biology 2024 · PMID 38464251 · doi:10.1101/2024.02.22.581560
This dataset
Open GSE242735 in finder → Find more human RNA-seq datasets →
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 GSE242735_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: 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 PRJNA1014434 and SRA study SRP468020. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38464251) ↗
Study design
16 conditions, mostly in duplicate
LNCaP_sgNCx3 ×2 LNCaP_sgNSD1 ×2 LNCaP_sgNSD3 ×2 VCaP_siNC_DMSO ×2 VCaP_siNC_EPZ6438_72h ×2 VCaP_siNSD1_DMSO ×2 VCaP_siNSD1and2_DMSO ×2 VCaP_siNSD2_DMSO ×2 +8 more

Supports a between-group comparison across 32 samples.

How we read this: 16 replicated groups read from 32 sample titles; they account for 32 of them. 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
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