Emma Walker

The paper introduces optimized fluorescence-activated nuclei sorting (FANS) protocols to isolate cell-type-specific nuclei from human and mouse brain tissue for multi-omic analysis.

The paper identifies cell-type-specific DNA methylation differences in autism, revealing female-specific X chromosome alterations in microglia.

The paper identifies neuron-specific DNA methylation differences in schizophrenia using cell type-resolved epigenome-wide association study in prefrontal cortex nuclei.

The paper identifies DNA methylation changes in transgenic mouse models of Alzheimer's disease, showing distinct patterns for tau and amyloid-beta pathology and some overlap with human AD data.

The paper identifies SENP7 and UTF1/VENTX as new loci influencing cPCDH methylation in blood and brain through a genome-wide association study.

This study identifies cell-type-specific DNA methylation dynamics in the human cortex across development, highlighting prenatal periods as critical for epigenomic plasticity and linking changes to neurodevelopmental disorders.

The paper provides guidance for designing and analyzing cell-type specific epigenetic epidemiology studies using DNA methylation data from purified cell populations.

The paper develops a multivariate methylation risk score using blood DNA methylation data to predict dementia risk and cognitive impairment in Alzheimer's and Parkinson's disease cohorts.

The paper characterizes expressed transcripts in the human cortex across development, identifying novel coding sequences with clinical relevance.

The paper develops and validates deconvolution models using DNA methylation data to estimate cell-type proportions in the human cortex, finding glial cells are twice as abundant as neurons and linking cell-type proportions to Alzheimer's disease neuropathology.

The paper quantifies DNA methylation changes in human fetal pancreas development, identifying developmental differentially methylated positions and their genomic distribution.

The paper develops a novel epigenetic clock for fetal brain development to predict prenatal age in iPSCs and derived neurons, showing they remain epigenetically fetal despite differentiation.

This study examines DNA methylation differences across blood cell types and tissues, showing that whole blood DNAm reflects contributions from multiple cell types rather than being cell-type specific.

The paper develops a novel DNA methylation clock optimized for human cortex tissue, outperforming existing clocks and highlighting issues with previous associations between DNA methylation age and neurodegenerative phenotypes.

This study identifies transcriptional changes in tau and amyloid mouse models, revealing gene expression patterns linked to AD pathology and immune response.