Gregory A. Cary

The paper identifies cross-domain drivers of Alzheimer's disease risk by integrating network analysis across biological domains.

The paper introduces INDIGO, a framework for individual-level proteomic analysis in Alzheimer's Disease, identifying molecular subgroups linked to clinical and pathological features.

The paper studies regulatory genome evolution in echinoderms, revealing deep conservation of cis-regulatory elements and chromatin organization, suggesting an ancestral regulatory pattern in animal genomes.

This study compares two mouse models of TREM2 variants, showing both mimic Alzheimer's disease signatures in similar biological domains.

The paper identifies five therapeutic targets for Alzheimer's disease by integrating phenotypic and proteomic screening in murine microglial cells.

The paper compares the transcriptome of Kat5 knockout mice to AD datasets, finding similar gene expression patterns and showing KAT5 localization in AD neurons.

This study shows that reducing mitochondrial complex I activity in mice induces AD-like transcriptomic changes, which are partially reversed by a complex I inhibitor.

The paper introduces a graph neural network framework that integrates multi-omics data with biological priors to identify biomarkers in Alzheimer's disease.

The paper identifies two covalent inhibitors that disrupt the interaction between SYK's tandem SH2 domains and FCER1G phospho-ITAM, potentially beneficial for Alzheimer's disease therapy.

The paper compares developmental GRNs to show how novelty is incorporated while maintaining network stability during early development.

The paper analyzes sea star larval regeneration to identify conserved molecular processes of whole-body regeneration across metazoans.