Marina Iskhakova

This study identifies epigenetic variation linked to opioid overdose using H3K27ac profiling and machine learning, revealing splicing dysregulation and CELF5 as a key factor.

The paper analyzes single nucleus transcriptomics data from opioid overdose cases and controls to show widespread glial activation and changes in gene expression related to substance use traits.

The paper examines HIV integration in the human brain using single nuclei transcriptomics, Hi-C, and IS-seq, finding 3D genomic reorganization and microglial activation linked to HIV infection.

The paper identifies population-level variation in enhancer expression in the human brain and links enhancer eQTL to schizophrenia heritability.

The paper shows that neuron-specific chromatin domains in mice are shaped by recent retrotransposon expansions and that disrupting a silencer leads to chromatin rewiring and neuroinflammation.

This study develops a method to efficiently generate dopaminergic neurons from hiPSCs and shows they model psychiatric disease risk genes.

The paper identifies case-specific epigenetic alterations in opioid dependence using ChIP-seq and Hi-C, revealing convergent regulatory loci associated with genetic and environmental risk factors.

The paper uses Hi-C data to link genetic risk variants for smoking and alcohol use to specific genes and pathways in brain regions involved in addiction.