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Metformin enhanced the effect of a Ketogenic diet in MYCN amplified Neuroblastoma xenografts

GSE236677 Homo sapiens (human) RNA-seq (gene expression) 30 samples Submitted 2024/09/30 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 30 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
NeuroblastomaThis series is part of our curated briefing on it.
Samples
30 samples: 30 samples, each with a distinct title — no replicated groupsGroups 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.
Summary (written by the submitters)
Neuroblastoma (NB) is a childhood cancer in which the MYCN amplification is the most acknowledged marker of poor prognosis. MYCN-amplified NB cells showed to rely on both glycolysis and oxidative phosphorylation system (OXPHOS) for energy production . Previously, we revealed that a ketogenic diet (KD) slowed the tumor growth in MYCN NB xenografts, when combined with classical cytotoxic therapy cyclophosphamide (CP).
Read the full summary ↓
Metformin (MET) is a compound that targets complex I of the OXPHOS system. Therefore, the aim of this study was to elucidate whether MET can enhance the anti-tumorigenic effects of a KD in NB. Our result indicated that MET decreasedcell proliferation andrespiration in NB cells in vitro. The combination of KD, MET and low dose of chemotherapyreduced also the tumor growth and improved survival in NB xenografts. GO enrichment analysis revealed fatty acid ß-oxidation as the most upregulated process resulting from the addition of MET to KD. The differential expression of CPT1A and of its direct regulator ACC might determine an unbalanced redox state and dictate the anti-tumor effect of the combination therapy in MYCN-amplified xenografts.
This dataset
Open GSE236677 in finder → Find more human RNA-seq datasets → Neuroblastoma landscape →
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 GSE236677_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 PRJNA992007 and SRA study SRP447863. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
30 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 30 sample titles: 30 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 Neuroblastoma datasets

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.