Dataset features

Specifications


Dataset type: Expression profiling by array
Number of samples: 34
Release date: Dec 31 2018
Last update date: Jan 8 2019
Access: Public
Dataset link Hippocampal gene expression patterns linked to late-life physical activity opposes age and AD-related transcriptional decline

Experimental Protocol


We used hippocampus from clinically well-defined cases where late-life physical activity levels (exercise and non-exercise) had been objectively measured on an annual basis. In parallel, hippocampal gene expression patterns associated with Aging and AD were assessed in young (20-59 yrs), cognitively-intact aging (73-95 yrs) and age-matched AD cases. To identify “anti-Aging/AD” transcription patterns associated with physical activity, probesets significantly associated with both physical activity and Aging/AD were identified and their directions of expression change in each condition were compared. Multiple linear regression was used to assess the strength of the relationship between physical activity and gene expression across all samples after adjusting for technical variables (batch, post-mortem interval, RNA integrity)

Repositories


GEO

GSE110298

BioProject

PRJNA433395

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Contact


Nicole Berchtold