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All-defined NGN2 neuron protocol reveals multifaceted signatures of neuronal maturation [bulk_media]

GSE244368 Homo sapiens (human) RNA-seq (gene expression) 10 samples Submitted 2024/09/15 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 10 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
10 samples
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
Fully defined NGN2 neuron protocol reveals diverse signatures of neuronal maturationCell reports methods · 2024
Summary (written by the submitters)
Direct conversion of iPSCs into neurons by NGN2 over-expression is a popular method for disease modeling. Here we report a standardized method to generate functional excitatory cortical neurons using clonal, targeted engineered iPSC lines and defined reagents. We demonstrate that our protocol generates consistent excitatory cortical neurons at scale.
Read the full summary ↓
These cultures can be maintained healthily for at least 150 days and expresses the majority of the GWAS genes found in autism, Parkinson’s disease, and Alzheimer’s disease. Comprehensive temporal omics, functional, and morphological profiling demonstrated continued progression of neuronal maturation. Deep functional characterization through transcriptomic, imaging, and functional assays revealed the coordinated action of multiple pathways in neuronal maturation. Our method and profiling data can serve as reference for developing human in vitro neuronal models for disease modeling.
Published in
Fully defined NGN2 neuron protocol reveals diverse signatures of neuronal maturation
Shan X, Zhang A, Rezzonico MG et al. · Cell reports methods 2024 · PMID 39255791 · doi:10.1016/j.crmeth.2024.100858
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 GSE244368_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 PRJNA1022480 and SRA study SRP463938. Searching any of these in the dataset finder brings you back here.

Study design
A cohort of 10 individual samples

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

How we read this: Sample titles run SAM24433825 … SAM24433834 and carry no group information.

Samples in this study
Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.