Glen Munson

The paper introduces scE2G models to predict enhancer-gene regulatory interactions from single-cell data and demonstrates their performance across multiple cell types and perturbations.

This study identifies most distal element-gene interactions have small effect sizes (<10%) using DC-TAP-seq, revealing limitations in prior CRISPR screens and suggesting new model requirements.

The paper introduces Variant-FlowFISH to measure the effects of DNA sequence variants on gene expression, identifies regulatory mechanisms, and benchmarks predictive models.

This study uses CRUDO to show that cohesin and 3D contacts influence enhancer-promoter regulation, with distal enhancers showing stronger cohesin dependence.

The paper maps coronary artery disease risk loci to endothelial cell gene programs, identifying convergence on the CCM pathway and a new CAD gene, TLNRD1.

The paper uses the ABC Model to map enhancer-gene regulation across 131 cell types and tissues, linking GWAS variants to disease genes, particularly in IBD.

The paper introduces CRISPRi-FlowFISH to perturb enhancers and an Activity-by-Contact model to predict enhancer-gene regulatory connections.

The paper investigates how lncRNA loci regulate neighboring genes and finds that transcription and splicing processes, not specific lncRNA transcripts, mediate this regulation.