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One deficiency, different outcomes: Succinate dehydrogenase loss in chromaffin cell vs. fibroblast models of paraganglioma

GSE263778 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/01/02 Platform GPL13112
At a glance

RNA-seq (gene expression) · mouse · 12 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
Mus musculus (mouse)
Samples
12 samples: 3 × iMEF_WT vs 3 × iMEF_SDH vs 3 × imCC_WT vs 3 × imCC_SDHGroups 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
Similar deficiencies, different outcomes: succinate dehydrogenase loss in adrenal medulla vs. fibroblast cell culture models of paragangliomaCancer & metabolism · 2024
Summary (written by the submitters)
Heterozygosity for loss‐of‐function alleles of the genes encoding the four subunits of succinate dehydrogenase (SDHA, SDHB, SDHC, SDHD), as well as the SDHAF2 assembly factor predispose affected individuals to pheochromocytoma and paraganglioma (PPGL), two rare neuroendocrine tumors that arise from neural crest-derived paraganglia. Tumorigenesis results from loss of the remaining functional Sdhx gene copy, leading to a cell with no functional SDH and a defective tricarboxylic acid (TCA) cycle.
Read the full summary ↓
It is believed that the subsequent accumulation of succinate competitively inhibits multiple dioxygenase enzymes that normally suppress hypoxic signaling and demethylate histones and DNA, ultimately leading to increased expression of genes involved in angiogenesis and cell proliferation. Why SDH loss is selectively tumorigenic in neuroendocrine cells remains poorly understood. Here we characterize two available murine SDH-loss cell lines, one representing PPGL-susceptible chromaffin cells and the other PPGL-resistant fibroblasts. Consistent with previous analyses, we find strikingly different effects of SDH loss in these two cellular contexts, including evidence of residual Complex I activity only in SDH-loss immortalized mouse chromaffin cells. This work supports the hypothesis that chromaffin cells may uniquely tolerate SDH loss and sets the stage for analyses of unique vulnerabilities in SDH-loss chromaffin cells.
Published in
Similar deficiencies, different outcomes: succinate dehydrogenase loss in adrenal medulla vs. fibroblast cell culture models of paraganglioma
Al Khazal FJ, Bhat SM, Zhu Y et al. · Cancer & metabolism 2024 · PMID 39716277 · doi:10.1186/s40170-024-00369-9
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 GSE263778_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 PRJNA1099228 and SRA study SRP501210. Searching any of these in the dataset finder brings you back here.

Study design
3 × iMEF_WT vs 3 × iMEF_SDH vs 3 × imCC_WT vs 3 × imCC_SDH

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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