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Generation of Brain Region-specific Organoids using a Miniaturized Spinning Bioreactor and Modelling ZIKV Exposure

GSE80073 Homo sapiens (human) RNA-seq (gene expression) 20 samples Submitted 2016/04/22 Platform GPL11154
At a glance

RNA-seq (gene expression) · human · 20 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
20 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)
Cerebral organoids, three-dimensional cultures that model organogenesis, provide a new platform to investigate human brain development. High cost, variability and tissue heterogeneity limit accessibility and broad applications of current organoid technologies. Here we developed a miniaturized spinning bioreactor (SpinΩ) to generate forebrain-specific organoids from human iPSCs.
Read the full summary ↓
These organoids recapitulate key features of human cortical development, including progenitor zone organization, neurogenesis, gene expression, and importantly, a distinct human-specific outer radial glia cell layer. We have also developed protocols to generate midbrain and hypothalamic organoids. Finally, we employed this forebrain organoid platform to model Zika virus (ZIKV) exposure. Quantitative analyses revealed that preferential, productive ZIKA infection of cortical neural progenitors leads to increased cell death and reduced proliferation, resulting in decreased neuronal cell layer volume that resembles microcephaly. Together, our brain region-specific organoids and SpinΩ provide an accessible and versatile platform for modeling human brain development and diseases, and for compound testing.
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 GSE80073_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 PRJNA317792 and SRA study SRP073044. Searching any of these in the dataset finder brings you back here.

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.