James Galante

Mapping enhancer-gene regulatory interactions from single-cell data

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.

PerturbPlan: An analytical framework for designing Perturb-seq experiments

PerturbPlan provides an analytical framework to design single-cell CRISPR screens by calculating statistical power and enabling interactive experiment planning.

A systematic survey of distal element-gene regulatory interactions with Direct-Capture Targeted Perturb-seq

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.

Enhancer-targeting CRISPR screens at coronary artery disease loci suggest shared mechanisms of disease risk

The paper identifies causal genetic mechanisms at CAD GWAS loci using CRISPR screens and chromatin analysis, revealing enhancer-gene links and ancestry/sex-specific risk factors.