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FOXG1-dependent dysregulation of GABA/glutamate neuron differentiation in autism spectrum disorders

GSE61476 Homo sapiens (human) RNA-seq (gene expression) 45 samples Submitted 2015/07/16 Platform GPL11154
At a glance

RNA-seq (gene expression) · human · 45 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
45 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.
Summary (written by the submitters)
Autism spectrum disorder (ASD) is a disorder of brain development believed, in most cases, to be of genetic origin. We use induced pluripotent stem cells (iPSCs)-derived 3-dimensional neural cultures (organoids) in patients with ASD and macrocephaly to investigate neurodevelopmental alterations that cause this form of ASD. By using transcriptome analyses, we identified modules of co-expressed genes significantly upregulated in ASD patients compared to non-ASD first-degree family members.
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 GSE61476_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 PRJNA261255 and SRA study SRP047194. Searching any of these in the dataset finder brings you back here.

Samples in this study

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