ArticleGenome medicine2016
Integrative network analysis of nineteen brain regions identifies molecular signatures and networks underlying selective regional vulnerability to Alzheimer's disease.
Article in Genome medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 197 papers, 9 of them syntheses that pooled it.
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Who cites it
197 citing papers in PubMed, 9 syntheses or guidelines pooled it, 340 citations in OpenAlex.
- 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 Heterogeneity.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2025Pooled it
- Neurodegenerative Disease Associated Pathways in the Brains of Triple Transgenic Alzheimer's Model Mice Are Reversed Following Two Weeks of Peripheral Administration of Fasudil.International journal of molecular sciences · 2023Pooled it
- Alzheimer's disease large-scale gene expression portrait identifies exercise as the top theoretical treatment.Scientific reports · 2022Pooled it
- Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer's disease: review, recommendation, implementation and application.Molecular neurodegeneration · 2022Pooled it
- Meta-Analysis of the Alzheimer's Disease Human Brain Transcriptome and Functional Dissection in Mouse Models.Cell reports · 2020Pooled it
- A meta-analysis of gene expression data highlights synaptic dysfunction in the hippocampus of brains with Alzheimer's disease.Scientific reports · 2020Pooled it
- The landscape of multiscale transcriptomic networks and key regulators in Parkinson's disease.Nature communications · 2019Pooled it
- Meta-Analysis of Gene Expression Changes in the Blood of Patients with Mild Cognitive Impairment and Alzheimer's Disease Dementia.International journal of molecular sciences · 2019Pooled it
- A Meta-Analysis of Alzheimer's Disease Brain Transcriptomic Data.Journal of Alzheimer's disease : JAD · 2019Pooled it
- Sex and APOE genotype specific brain regional vulnerability to Alzheimer's Disease.GeroScience · 2026Article
- Multi-region brain transcriptomes uncover two subtypes of aging individuals with differences in Alzheimer risk and the impact ofiScience · 2026Article
- Molecular Networks and Key Regulators Underlying Resilience of the Human Brain to Aging and Dementia.Biomolecules · 2026Article
- Screening of cell-type-specific meta-programs for drug repurposing in Alzheimer's disease.Briefings in bioinformatics · 2026Article
- Multilayer Proteome and Metabolome-Based Validation Uncovers Combined Regulatory Roles and Predictive Values of 6 RNA Modifications and Cellular Senescence in Alzheimer's Disease.CNS neuroscience & therapeutics · 2026Article
- Mitochondrial Hsp60/10 Client Protein Decline Reveals Braak/Tau- and Cognition-Linked Proteostasis Vulnerabilities in Alzheimer's Disease.bioRxiv : the preprint server for biology · 2026Article
- AETA peptide contributes to Alzheimer's disease signature of synapse dysfunction.Acta neuropathologica · 2026Article
- Systematic identification of cell-cell interactions associated with the severity of patients with Alzheimer's disease.Journal of Alzheimer's disease : JAD · 2026Article
- Article
- Single-cell transcriptomic analysis reveals APOE genotype-dependent sex differences in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Human brain and organoid transcriptomes reveal key receptor tyrosine kinase pathways and genetic signatures in Alzheimer's disease.Experimental & molecular medicine · 2026Article
137 more citing papers are in PubMed but not listed here.
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Authors and funding
17 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundAlzheimer's disease (AD) is the most common form of dementia, characterized by progressive cognitive impairment and neurodegeneration. However, despite extensive clinical and genomic studies, the molecular basis of AD development and progression remains elusive.
methodsTo elucidate molecular systems associated with AD, we developed a large scale gene expression dataset from 1053 postmortem brain samples across 19 cortical regions of 125 individuals with a severity spectrum of dementia and neuropathology of AD. We excluded brain specimens that evidenced neuropathology other than that characteristic of AD. For the first time, we performed a pan-cortical brain region genomic analysis, characterizing the gene expression changes associated with a measure of dementia severity and multiple measures of the severity of neuropathological lesions associated with AD (neuritic plaques and neurofibrillary tangles) and constructing region-specific co-expression networks. We rank-ordered 44,692 gene probesets, 1558 co-expressed gene modules and 19 brain regions based upon their association with the disease traits.
resultsThe neurobiological pathways identified through these analyses included actin cytoskeleton, axon guidance, and nervous system development. Using public human brain single-cell RNA-sequencing data, we computed brain cell type-specific marker genes for human and determined that many of the abnormally expressed gene signatures and network modules were specific to oligodendrocytes, astrocytes, and neurons. Analysis based on disease severity suggested that: many of the gene expression changes, including those of oligodendrocytes, occurred early in the progression of disease, making them potential translational/treatment development targets and unlikely to be mere bystander result of degeneration; several modules were closely linked to cognitive compromise with lesser association with traditional measures of neuropathology. The brain regional analyses identified temporal lobe gyri as sites associated with the greatest and earliest gene expression abnormalities.
conclusionsThis transcriptomic network analysis of 19 brain regions provides a comprehensive assessment of the critical molecular pathways associated with AD pathology and offers new insights into molecular mechanisms underlying selective regional vulnerability to AD at different stages of the progression of cognitive compromise and development of the canonical neuropathological lesions of AD.
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