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Zika Virus Targets Human Cortical Neural Precursors and Attenuates Their Growth

GSE78711 Homo sapiens (human) RNA-seq (gene expression) 8 samples Submitted 2016/03/04 Platform GPL15520Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 8 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
8 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)
The suspected link between infection by Zika virus (ZIKV), a re-emerging flavivirus, and microcephaly, is an urgent global health concern. The direct target cells of ZIKV in developing human fetuses are not clear. Here we show that ZIKV serially passaged in monkey and mosquito cell lines infects human induced pluripotent stem cells (hiPSCs)-derived cortical neural progenitor cells (hNPCs) with much higher efficiency compared to hiPSCs and hNPC-derived immature cortical neurons.
Read the full summary ↓
Infected hNPCs produces infectious ZIKV particles. Importantly, ZIKV infection increases cell death and dysregulates cell cycle progression, resulted in attenuated hNPC growth. RNA-sequencing analysis of infected hNPCs further reveals transcriptional dysregulation, notably genes in cell cycle pathways. Our results identify human cortical neural precursors as a major and direct target of ZIKV infection and establish a tractable experimental model system to investigate the impact and mechanism of ZIKV on human brain development and a platform to screen therapeutic compounds.
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 GSE78711_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 PRJNA313294 and SRA study SRP070895. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 8 more — browse all 8 samples with per-sample file links →

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