GEO series

Transcriptomic Profiling Reveals Discrete Poststroke Dementia Neuronal and Gliovascular Signatures

GSE186798 Homo sapiens (human) Expression microarray 100 samples Submitted 2022/06/01 Platform GPL23159Platform GPL23038

At a glance

Expression microarray · human · 100 samples

What it is: Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism: Homo sapiens (human)
Samples: 100 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

Around 25% of stroke survivors over 65 years old develop progressive cognitive decline more than 3 months post-stroke, with features of vascular dementia. Poststroke dementia (PSD) is associated with pathology in frontal brain regions, in particular dorsal lateral prefrontal cortex (DLPFC) neurons and white matter, remote from the infarct, implicating damage to anterior cognitive circuits (ACC) involved in impaired executive function.

Read the full summary ↓

We hypothesised that PSD results from progressive neuronal damage in the DLPFC and that this is associated with alterations in the gliovascular unit (GVU) of frontal white matter. We aimed to identify the cellular and molecular basis of PSD by investigating the transcriptomic profile of the neurons and white matter GVU cells previously implicated in pathology. Laser capture microdissected neurons, astrocytes and endothelial cells were obtained from the Cognitive Function After Stroke (COGFAST) cohort. Gene expression was assessed using microarrays and pathways analysis to compare changes in PSD with controls and with poststroke non-dementia (PSND). Laser captured microdissected neurons were obtained from the bilateral carotid artery stenosis (BCAS) model and equivalent SHAM animals

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 (GSE186798_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 PRJNA776138. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 35639336) ↗

Samples in this study

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+ 100 more — browse all 100 samples with per-sample file links →

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