Dag H. Yasui

The paper investigates how PCB exposure interacts with MeCP2 mutations in female mice, identifying shared gene pathways and transcriptional impacts in the cortex.

Rocketchip improves rigor and reproducibility in ChIP-seq, CUT&RUN, and CUT&Tag data analysis by enabling comparison and swapping of analysis components.

The paper examines how Snord116 genotype interacts with light and sex to influence metabolism, behavior, and imprinted gene networks in mice after circadian entrainment.

This study identifies sex-specific DNA methylation signatures of autism spectrum disorder in newborn blood, showing replication and enrichment for ASD-risk genes and neurodevelopmental processes.

The paper identifies sex-specific transcriptomic changes in a mouse model of Rett syndrome, showing more differentially expressed genes in females and non-cell-autonomous effects.

The paper integrates CTCF loops, methylome, and transcriptome data from LUHMES neurons to study imprinting dynamics at the 15q11-q13 locus during differentiation.

This study examines DNA methylation changes in mouse placenta and fetal brain after prenatal PCB exposure, finding shared differentially methylated regions linked to neurodevelopmental disorders.

The paper identifies epigenomic signatures in NDD cortex samples, revealing shared regulatory functions and enrichment for genetic risk factors across different NDD types.

The paper identifies two placental DNA methylation markers, CYP2E1 and IRS2, associated with ASD risk and modulated by genetic and environmental factors.

This study shows that MeCP2-e1 mutation in mice reproduces motor and metabolic issues seen in Rett syndrome patients.

This study shows that Snord116 RNA processing requires an active endogenous allele and neuron-specific splicing by Rbfox3/NeuN, and exogenous expression alone cannot rescue the genetic deficiency of Snord116 paternal deletion.

This study identifies Snord116-dependent diurnal DNA methylation rhythms in mouse cortex and shows their disruption in Prader-Willi syndrome.

The paper investigates how augmented maternal care affects DNA methylation, gene expression, and miRNA levels in the developing hypothalamus, identifying genes linked to stress resilience.