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SIRT2 is a regulator of the differentiation block driven by SMARCB1 loss in ATRT [scRNA-seq]

GSE278558 Homo sapiens (human) Single-cell RNA-seq 2 samples Submitted 2025/06/16 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 2 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Homo sapiens (human)
Samples
2 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
SIRT2 Regulates the SMARCB1 Loss-Driven Differentiation Block in ATRTMolecular cancer research : MCR · 2025
Summary (written by the submitters)
Atypical teratoid rhabdoid tumor (ATRT) is a highly aggressive brain tumor of childhood with a poor overall survival. The salient molecular feature of ATRT is the loss of SMARCB1 which results in epigenetic dysregulation of the genome. SMARCB1 loss affects lineage commitment and differentiation by controlling gene expression. We hypothesized that additional epigenetic factors co-operate with SMARCB1 loss to control cell self-renewal and drive ATRT.
Read the full summary ↓
We identified SIRT2 as a primary dependency in ATRT. Using a combination of RNA-seq, CUT&RUN and single RNA sequencing in model systems ATRT, we observed genome-wide reorganization of active chromatin and significantly changes in genes expression in ATRT cells with genetic (with shRNA) or chemical (with Tenovin or Thiomyristoyl (TM)) SIRT2 deactivation. Single-cell RNA transcriptome analysis of xenograft tumors revealed the elimination of tumor cells expressing stem cell genes and expansion of tumor cells expressing differentiated genes in vivo. Furthermore, SIRT2 inhibition induced apoptosis, decreased tumor growth and prolonged survival in orthotopic xenograft models. In summary we demonstrated that SIRT2 inhibition is a molecular vulnerability in SMARCB1-deleted tumors with therapeutic potential.
Published in
SIRT2 Regulates the SMARCB1 Loss-Driven Differentiation Block in ATRT
Alimova I, Wang D, DeSisto J et al. · Molecular cancer research : MCR 2025 · PMID 39960392 · doi:10.1158/1541-7786.MCR-24-0926
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 GSE278558_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: 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 PRJNA1167773 and SRA study SRP536083. Searching any of these in the dataset finder brings you back here.

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