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Propionic Acid Induces Autistic-like Gene Expression Profiles, Inhibits Neurite Outgrowth, and Promotes Neurodegeneration in Cells from Non-Autistic Individuals

GSE32136 Homo sapiens (human) Expression microarray 23 samples Submitted 2011/09/16 Platform GPL3427
At a glance

Expression microarray · human · 23 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Homo sapiens (human)
Samples
23 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
In this study, we investigated PPA-induced changes in gene expression profiles of lymphoblastoid cell lines (LCLs) from unaffected individuals, compared with gene expression profiles of LCLs from sex-matched siblings with ASD. Global gene expression profiling analysis revealed that 96 genes in LCLs from the unaffected individuals were significantly altered after PPA exposure, exhibiting expression levels similar to those of their respective siblings with autism.
Read the full summary ↓
Biological pathway analyses of these PPA-responsive genes suggested significant association with many neurological functions associated with autism, including synaptic transmission, neuronal cell differentiation and apoptosis. Moreover, we demonstrated that PPA also deregulated several of the responsive genes, including APOE, LIFR, NR3C1, and PTK2, in the neuroblastoma cell line SH-SY5Y. Functional analyses further showed that PPA exposure negatively impacted neurite outgrowth and promoted neurodegeneration in the human neuronal cell model. This study indicates that PPA exposure induces global changes in gene expression profiles of LCLs from non-autistic individuals that reflect expression patterns of LCLs from affected individuals.
This dataset
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Download · which file do I need?

Direct links to NCBI, 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.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE32136_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Whole study · RAW.tar ↓

What the files usually look like: For arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.

Also filed as BioProject PRJNA147661. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Samples in this study

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