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7q11.23 CNV alters ribosomal biogenesis, mTOR and neuronal intrinsic excitability

GSE261692 Homo sapiens (human) RNA-seq (gene expression) 33 samples Submitted 2024/03/20 Platform GPL24676Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 33 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)
Samples
33 samples: 9 conditions, mostly in triplicateGroups 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
Multiscale modeling uncovers 7q11.23 copy number variation-dependent changes in ribosomal biogenesis and neuronal maturation and excitabilityThe Journal of clinical investigation · 2024
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Multiscale modeling uncovers 7q11.23 copy number variation-dependent changes in ribosomal biogenesis and neuronal maturation and excitability
Mihailovich M, Germain PL, Shyti R et al. · The Journal of clinical investigation 2024 · PMID 39007270 · doi:10.1172/JCI168982
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 GSE261692_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 PRJNA1088432 and SRA study SRP495431. Searching any of these in the dataset finder brings you back here.

Study design
9 conditions, mostly in triplicate
Ngn2 iNeurons ribosomeFootprinting WBS isoWBS ×3 Ngn2 iNeurons ribosomeFootprinting CTL isoCTL ×3 Ngn2 iNeurons ribosomeFootprinting 7Dup isoDu… ×3 Ngn2 iNeurons isogenic CTL isoCTL ×3 Ngn2 iNeurons isogenic WBS isoWBS ×3 Ngn2 iNeurons isogenic 7Dup isoDup (242K) ×3 Ngn2 iNeurons REST WBS isoWBS REST inhibitor … ×3 Ngn2 iNeurons REST WBS isoWBS DMSO ×3 +8 more

Supports a case/control comparison: 5 samples read as cases, 9 as controls.

How we read this: 9 replicated groups read from 33 sample titles; they account for 26 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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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.