Back to search

Article

A Meta-Analysis of Alzheimer’s Disease Brain Transcriptomic Data

2018-11-29

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Microarray technologies have identified imbalances in the expression of specific genes and biological pathways in Alzheimer’s disease (AD) brains. However, there is a lack of reproducibility across individual AD studies, and many related neurodegenerative and mental health disorders exhibit similar perturbations. We are yet to identify robust transcriptomic changes specific...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
de8d0508-24f9-5d61-9bc7-0a0f64af0268
DOI
10.1101/480459
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A Meta-Analysis of Alzheimer’s Disease Brain Transcriptomic DataDOI 10.1101/480459
Transcriptome Meta-Analysis Suggests the Existence of Two Molecular Subtypes in Alzheimer’s DiseaseSemantic proximity
Data-Driven Analysis of Age, Sex, and Tissue Effects on Gene Expression Variability in Alzheimer’s DiseaseSemantic proximity
Meta‐Analysis of Transcriptomic Studies of Blood and Six Brain Regions Identifies a Consensus of 15 Cross‐Tissue Mechanisms in Alzheimer's Disease and Suggests an Origin of Cross‐Study HeterogeneitySemantic proximity
Multi-regional Neurodegeneration in Alzheimer’s disease: Meta-analysis and data integration of transcriptomics dataSemantic proximity
Data-Driven Analysis of Age, Sex, and Tissue Effects on Gene Expression Variability in Alzheimer's DiseaseSemantic proximity
A Map of Transcriptomic Signatures of Different Brain Areas in Alzheimer’s DiseaseSemantic proximity
Identification of Differentially Expressed Genes through Integrated Study of Alzheimer’s Disease Affected Brain RegionsSemantic proximity
Transcriptomic analyses of human brains with Alzheimer’s disease identified dysregulated epilepsy-causing genesSemantic proximity
Brain high-throughput multi-omics data reveal molecular heterogeneity in Alzheimer’s diseaseSemantic proximity
Hippocampal transcriptome profiling combined with protein-protein interaction analysis elucidates Alzheimer's disease pathways and genesSemantic proximity
Meta-analysis of the human brain transcriptome identifies heterogeneity across human AD coexpression modules robust to sample collection and methodological approachSemantic proximity
Integrative genomics approach identifies conserved transcriptomic networks in Alzheimer’s diseaseSemantic proximity
Select a neighboring publication to make it the new centre.