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Small-molecule Inhibition of METTL3 Suppresses Tumor Growth and Promotes Neuroblastoma Differentiation

GSE240595 Homo sapiens (human) RNA-seq (gene expression) 110 samples Submitted 2024/04/10 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 110 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
110 samples: 42 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
Small-molecule inhibition of the METTL3/METTL14 complex suppresses neuroblastoma tumor growth and promotes differentiationCell reports · 2024
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Small-molecule inhibition of the METTL3/METTL14 complex suppresses neuroblastoma tumor growth and promotes differentiation
Pomaville M, Chennakesavalu M, Wang P et al. · Cell reports 2024 · PMID 38691450 · doi:10.1016/j.celrep.2024.114165
This dataset
Open GSE240595 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 GSE240595_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 PRJNA1004276 and SRA study SRP454485. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38691450) ↗
Study design
42 conditions, mostly in duplicate
Kelly cells, DMSO, 1D, input, ×3 Kelly cells, STM, 1D, input, ×3 Kelly cells, DMSO, 1D, RIP, ×3 Kelly cells, STM, 1D, RIP, ×3 Kelly cells, DMSO, 6D, input, ×3 Kelly cells, STM, 6D, RIP, ×3 NGP cells, DMSO, 6D, input, ×3 NGP cells, STM, 6D, RIP, ×3 +46 more

Supports a between-group comparison across 98 samples.

How we read this: 42 replicated groups read from 110 sample titles; they account for 98 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

+ 70 more — browse all 110 samples with per-sample file links →

More Neuroblastoma datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

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.