Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer's disease: review, recommendation, implementation and application
Alzheimer's disease (AD) is the most common form of dementia, characterized by
progressive cognitive impairment and neurodegeneration. Extensive clinical and genomic …
progressive cognitive impairment and neurodegeneration. Extensive clinical and genomic …
Understanding Alzheimer disease at the interface between genetics and transcriptomics
J Verheijen, K Sleegers - Trends in Genetics, 2018 - cell.com
Over 25 genes are known to affect the risk of developing Alzheimer disease (AD), the most
common neurodegenerative dementia. However, mechanistic insights and improved …
common neurodegenerative dementia. However, mechanistic insights and improved …
[HTML][HTML] Cholesterol and matrisome pathways dysregulated in astrocytes and microglia
The impact of apolipoprotein E ε4 (APOE4), the strongest genetic risk factor for Alzheimer's
disease (AD), on human brain cellular function remains unclear. Here, we investigated the …
disease (AD), on human brain cellular function remains unclear. Here, we investigated the …
Machine learning identifies candidates for drug repurposing in Alzheimer's disease
Clinical trials of novel therapeutics for Alzheimer's Disease (AD) have consumed a large
amount of time and resources with largely negative results. Repurposing drugs already …
amount of time and resources with largely negative results. Repurposing drugs already …
Type I interferon response drives neuroinflammation and synapse loss in Alzheimer disease
Type I interferon (IFN) is a key cytokine that curbs viral infection and cell malignancy.
Previously, we demonstrated a potent IFN immunogenicity of nucleic acid–containing (NA …
Previously, we demonstrated a potent IFN immunogenicity of nucleic acid–containing (NA …
Molecular subtyping of Alzheimer's disease using RNA sequencing data reveals novel mechanisms and targets
Alzheimer's disease (AD), the most common form of dementia, is recognized as a
heterogeneous disease with diverse pathophysiologic mechanisms. In this study, we …
heterogeneous disease with diverse pathophysiologic mechanisms. In this study, we …
[HTML][HTML] Meta-analysis of the Alzheimer's disease human brain transcriptome and functional dissection in mouse models
We present a consensus atlas of the human brain transcriptome in Alzheimer's disease
(AD), based on meta-analysis of differential gene expression in 2,114 postmortem samples …
(AD), based on meta-analysis of differential gene expression in 2,114 postmortem samples …
Integrative transcriptome analyses of the aging brain implicate altered splicing in Alzheimer's disease susceptibility
Here we use deep sequencing to identify sources of variation in mRNA splicing in the
dorsolateral prefrontal cortex (DLPFC) of 450 subjects from two aging cohorts. Hundreds of …
dorsolateral prefrontal cortex (DLPFC) of 450 subjects from two aging cohorts. Hundreds of …
The Mount Sinai cohort of large-scale genomic, transcriptomic and proteomic data in Alzheimer's disease
Alzheimer's disease (AD) affects half the US population over the age of 85 and is universally
fatal following an average course of 10 years of progressive cognitive disability. Genetic and …
fatal following an average course of 10 years of progressive cognitive disability. Genetic and …
[HTML][HTML] Transformative network modeling of multi-omics data reveals detailed circuits, key regulators, and potential therapeutics for Alzheimer's disease
To identify the molecular mechanisms and novel therapeutic targets of late-onset
Alzheimer's Disease (LOAD), we performed an integrative network analysis of multi-omics …
Alzheimer's Disease (LOAD), we performed an integrative network analysis of multi-omics …