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Transcriptional profile of mice with good and poor spatial learning during West Nile virus recovery

GSE72139 Mus musculus (mouse) Expression microarray 12 samples Submitted 2016/06/27 Platform GPL6887
At a glance

Expression microarray · mouse · 12 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Mus musculus (mouse)
Samples
12 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Greater than 50% of patients who survive neuroinvasive West Nile virus (WNV), a mosquito-borne, positive-sense strand flavivirus, exhibit cognitive sequelae including memory impairments which may last several years. High survival rates from WNV neuroinvasive disease (WNND) (>90%) have led to hundreds to thousands of cases of WNV-mediated neurologic impairment accruing annually, yet underlying mechanisms responsible for these impairments have not been investigated.
Read the full summary ↓
Here, we established a novel murine model of recovery from WNND in which intracranial inoculation of a mutant WNV (WNV-NS5-E218A) leads to rates of survival and cognitive dysfunction that mirror human WNND. WNV-NS5-E218A-recovered mice exhibit impaired spatial learning and persistently phagocytic microglia without significant loss of hippocampal neurons or brain volume. Whole transcriptome analysis of hippocampi from WNV-NS5-E218A-recovered mice with poor spatial learning was performed in order to identify target pathways and molecules underlying cognitive impairments during WNND recovery.
This dataset
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.

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 (GSE72139_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

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 PRJNA293167. Searching any of these in the dataset finder brings you back here.

Samples in this study

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