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STAG2 mutations and 3D genome organization, chromatin loops, and polycomb signaling in glioblastoma multiforme

GSE240343 Homo sapiens (human) RNA-seq (gene expression) 20 samples Submitted 2024/05/07 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 20 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)
Topic
GlioblastomaThis series is part of our curated briefing on it.
Samples
20 samples: 16 distinct titles, 4 of them repeatedGroups 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
STAG2 mutations regulate 3D genome organization, chromatin loops, and Polycomb signaling in glioblastoma multiformeThe Journal of biological chemistry · 2024
Summary (written by the submitters)
Inactivating mutations of genes encoding the cohesin complex are common in a wide range of human cancers. STAG2 is the most commonly mutated subunit. Here we report the impact of stable correction of endogenous, naturally occurring STAG2 mutations on gene expression, 3D genome organization, chromatin loops, and Polycomb signaling in glioblastoma multiforme.
Read the full summary ↓
Correction of mutant STAG2 significantly altered the expression of ~10% of all expressed genes. The genes most highly regulated by STAG2 (e.g. FGF7, c-KIT, MAGE tumor antigens) were virtually all upregulated in STAG2-mutant cells. Hi-C revealed that ~3% of A/B compartments switched after STAG2 correction, and confirmed prior findings that STAG2 is dispensable for maintenance of Topologically Associating Domains (TADs). The size and strength of thousands of chromatin loops were altered by STAG2 correction, a subset of which controlled the expression of adjacent genes. Loops specific to STAG2-mutant cells and tumors were very large, supporting prior findings that STAG1-containing cohesin complexes have greater loop extrusion processivity than STAG2-containing cohesin complexes, and suggesting that long loops may be a generalizable feature of STAG2-mutant cancers. Finally, STAG2-regulated chromatin loops were enriched for the H3K27me3 Polycomb epigenetic mark, revealing that inactivation of STAG2 can activate Polycomb signaling in GBM. Together these findings illuminate the landscape of STAG2-regulated genes, A/B compartments, chromatin loops, and pathways in GBM, providing important clues into the still mysterious mechanism of STAG2 tumor suppression in human cancer.
Published in
STAG2 mutations regulate 3D genome organization, chromatin loops, and Polycomb signaling in glioblastoma multiforme
Xu W, Kim JS, Yang T et al. · The Journal of biological chemistry 2024 · PMID 38705393 · doi:10.1016/j.jbc.2024.107341
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 GSE240343_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 PRJNA1003411 and SRA study SRP454002. Searching any of these in the dataset finder brings you back here.

Study design
16 distinct titles, 4 of them repeated
H4 parental ×2 H4 88-1 ×2 42MGBA parental ×2 42MGBA 53-1 ×2

How we read this: Read from 20 sample titles: 16 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
More Glioblastoma datasets

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