Elizabeth M. Bradshaw

This study shows how non-coding variants in CD33 affect Alzheimer's risk by altering CD33M dimerization and interactions with clusterin and Aβ, impacting microglial function.

The paper identifies clonal CD8 T cell activation in human meninges and their regulatory role in controlling neuroinflammation through interactions with natural killer cells.

The paper investigates how AD risk variants in CD33 and SPI1 affect monocyte function in response to amyloid-beta, showing reduced phagocytosis and TREM2 loss.

This study shows that loss of nuclear TDP-43 in microglia-like cells disrupts lipid metabolism, leading to increased lipid droplets, phagocytosis, and inflammation, which can be mitigated by DGAT inhibitors.

The paper identifies microglia subsets in ALS brain and spinal cord, finding an undifferentiated phenotype and enrichment of interferon response microglia in aggressive cases.

This study identifies CD45 as a sialic acid-dependent binding partner of CD33, showing that their interaction contributes to Alzheimer's disease susceptibility through impaired microglial function.

This paper investigates the role of alpha-synuclein in lipid regulation at MAM domains in synucleinopathies, showing disease-specific lipid alterations and Syn's impact on phosphatidylserine metabolism.

This study shows that P2RX7 in human microglia-like cells mediates ATP-induced cytokine production and amyloid-beta uptake, and its function is modulated by IL-1 signaling.

The paper uses single-nucleus RNA- and ATAC-sequencing to identify a CD83+ microglial subpopulation depleted in Parkinson's disease, with implications for neuronal vulnerability.

The paper evaluates methods for estimating cell-type proportions in brain tissue using paired transcriptomic and immunohistochemistry data, showing some algorithms provide accurate estimates.

The paper develops a computational systems biology approach to identify novel microglial-specific targets for the phagosome in Alzheimer's disease using integrated transcriptome and genotype data.

The paper examines microglial activation in elderly brains, finding strong associations with neuropathology and cognitive decline, and identifies genetic overlaps with Alzheimer's disease.

Molecular network analysis of RNA sequencing data from the aging human cortex identifies new Alzheimer's and cognitive decline genes.

The paper identifies gene modules in human frontal cortex microglia associated with beta-amyloid and tau pathology in Alzheimer's disease.