GEO series

Transcriptomic analysis of probable asymptomatic and symptomatic Alzheimer Brains

GSE118553 Homo sapiens (human) Expression microarray 401 samples Submitted 2019/07/22 Platform GPL10558

At a glance

Expression microarray · human · 401 samples

What it is: Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism: Homo sapiens (human)
Samples: 401 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

Objectives: Individuals with intact cognition and neuropathology consistent with Alzheimer’s disease (AD) are referred to as asymptomatic AD (AsymAD). These individuals are highly likely to develop AD, yet transcriptomic changes in the brain which might reveal mechanisms for their AD vulnerability are currently unknown. Methods: Differential and co-expression analysis was performed on microarray profiled human brains of 27 control , 33 AsymAD and 52 AD subjects.

Read the full summary ↓

Tissues known to be affected by AD neuropathology (entorhinal cortex, temporal cortex, frontal cortex) and tissue partially spared by the disease (cerebellum). Results: The AsymAD subjects exhibited significant changes in transcriptomic activity in the frontal cortex when compared to AD and control subjects. Fourteen genes (GPM6B, ANKEF1, NPC2, ALDH2, FBLN2, METTL7A, FLCN, ASPHD1, ARL5A, GPR162, HBA2, PCID2, BEND3 and RAP1Gap) were highly associated with AD neuropathology with overall disturbances in the “glutamate-glutamine cycle”, “oxidative phosphorylation”, “innate immune system”, “TYROBP network”, “neutrophil degranulation” and “amino acid metabolism” in both the AsymAD and AD subjects. Conclusions: Transcriptomic activity in AsymAD subjects suggests fundamental changes in AD brains may begin within the frontal cortex region. In addition, we provide new insight into the earliest biological changes occurring in the brain prior to clinical AD diagnosis which offers new avenues for therapeutic interventions for preventing AD. We provide access of gene-level results to the broader research community through a publicly available R SHINY web-application accessible at: https://phidatalab-shiny.rosalind.kcl.ac.uk/ADbrainDE

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 (GSE118553_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 PRJNA486003. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 31063847) ↗

Samples in this study

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+ 401 more — browse all 401 samples with per-sample file links →

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