Jesse C. Wiley

The paper identifies cross-domain drivers of Alzheimer's disease risk by integrating network analysis across 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 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 identifies transcriptomically distinct microglia populations in Alzheimer's disease and aged human brains using single-nucleus RNA-seq and trajectory inference.

This paper identifies 8 genes across 6 genomic loci associated with Alzheimer's disease risk using transcriptome-wide association study and validates them with summary Mendelian randomization.