Ann C. Babtie

Optimised fluorescence-activated nuclei sorting for epigenomic analysis of cortical cell types

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.

A single-nuclei multiomics resource across four brain regions prioritises human neural cell types influencing brain-related traits

The paper integrates multiomic data from human brain nuclei with GWAS statistics to prioritize neural cell types associated with brain-related traits.

Cell-type-resolved DNA methylation profiling in the cortex reveals female-specific X chromosome differences in autism

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

Schizophrenia-associated DNA methylation differences in the cortex are neuron-specific

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

Single-cell Mendelian randomisation identifies cell-type specific genetic effects on human brain disease and behaviour

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.

Empirical Bayes Meets Information Theoretical Network Reconstruction from Single Cell Data

The paper introduces a method combining empirical Bayes and information theory to reconstruct gene regulatory networks from single-cell data, improving accuracy with prior information.

Gene regulatory network inference from single-cell data using multivariate information measures

This paper introduces PIDC, a method using multivariate information theory to infer gene regulatory networks from single-cell data, showing improved performance over pairwise methods in simulated data.

Stem cell differentiation is a stochastic process with memory

This study shows that stem cell differentiation involves stochastic transitions through hidden microstates, revealing epigenetic memory and a statistical mechanics framework for cellular identity.