Integrating Gene and Protein Expression Reveals Perturbed Functional Networks in Alzheimer's Disease

Asymptomatic and symptomatic Alzheimer’s disease (AD) subjects may present with equivalent neuropathological burdens but have significantly different antemortem cognitive decline rates. Using the transcriptome as a proxy for functional state, we selected 414 expression profiles of symptomatic AD subjects and age-matched non-demented controls from a community-based neuropathological study. By combining brain tissue-specific protein interactomes with gene networks, we identified functionally distinct composite clusters of genes that reveal extensive changes in expression levels in AD. Global expression for clusters broadly corresponding to synaptic transmission, metabolism, cell cycle, survival, and immune response were downregulated, while the upregulated cluster included largely uncharacterized processes. We propose that loss of EGR3 regulation mediates synaptic deficits by targeting the synaptic vesicle cycle. Our results highlight the utility of integrating protein interactions with gene perturbations to generate a comprehensive framework for characterizing alterations in the molecular network as applied to AD.

Canchi et al. reveal the transcriptomic dynamics of clinically and neuropathologically confirmed Alzheimer’s disease subjects by integrating brain tissue-specific proteome data with gene network analysis. They identify perturbed biological processes and provide insights into the interactions between molecular mechanisms in symptomatic Alzheimer’s disease.