Alexi Nott

This study identifies cell-type-specific histone acetylation changes in Alzheimer's disease, highlighting MITF's potential role in microglial dysfunction.

The paper presents a method to isolate rare cell populations from human post-mortem brain with high purity, demonstrating 100% microglial purity using fluorescence-activated nuclear sorting.

The paper identifies genetic factors associated with Alzheimer's disease progression using GWAS and longitudinal data, finding distinct genetic drivers from disease risk.

The paper introduces a workflow for cell-type-specific epigenomic profiling of brain cells using nanoCUT&Tag and FANS, applicable to unfixed human and mouse brain tissue.

CHAS deconvolves bulk H3K27ac profiles to infer cell type-specific signatures in neurological and psychiatric disorders, revealing distinct genetic and epigenetic contributions across cell types.

The paper links genetic risk for neurodegenerative diseases to microglial pathways using genomic and computational methods.

This study benchmarks CUT&Tag against ENCODE ChIP-seq for histone modifications, finding 54% average recall of known peaks and comparable peak caller performance.

The paper uses single-cell Mendelian randomisation to identify cell-type specific genetic effects on brain disease and behaviour, revealing 118 genes with causal associations to 16 brain phenotypes.

The paper identifies sex differences in microglial inflammatory responses in glioblastoma, showing that genes on the inactive X chromosome drive these differences.

The paper evaluates brain somatic mosaicism in the adult human to identify rules governing cellular distribution during embryogenesis.

The paper uses phosphoproteomics to identify Siglec-F and Siglec-8 as upregulated in microglia during neurodegeneration, driving inflammatory responses in mouse and human models.

The paper identifies cell type-specific enhancer-promoter connectivity in the human brain and links these to disease risk variants in Alzheimer's and psychiatric disorders.