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Evidence for proliferation and synaptogenesis impairments in neural cells derived from idiopathic autistic patients

GSE67528 Homo sapiens (human) RNA-seq (gene expression) 83 samples Submitted 2016/07/10 Platform GPL11154
At a glance

RNA-seq (gene expression) · human · 83 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
83 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)
Reprogramming of human somatic cells to a pluripotent state (induced pluripotent stem cells or iPSC) has provided an exciting opportunity to produce relevant cellular models of human complex neurogenetic diseases. Here we show the generation and characterization of iPSC lines from 8 sporadic ASD patients with early brain overgrowth and 5 age/gender-matched control lines.
Read the full summary ↓
These cells were used to derive neural progenitor cells and neurons in culture. We reveal molecular and phenotypic evidence that both cell proliferation and synaptogenesis are affected in this model system. Specifically, we detected altered cell cycle and altered levels of excitatory and inhibitory markers in neural cells at early stages of differentiation. This work demonstrates that in a heterogeneous condition such as ASD, selection of subjects based on phenotype can improve power to detect biologically relevant pathway disruption that may help guide development of novel therapies.
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 GSE67528_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 PRJNA280163 and SRA study SRP056822. Searching any of these in the dataset finder brings you back here.

Samples in this study

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