Gaelen T. Hess

The paper evaluates how base editor design features affect editing efficiency and mutation patterns in mammalian cells, identifying DivA-BE as the most effective variant.

The paper develops HT-recruit to measure transcriptional effector function across contexts and identifies context-dependent effectors for CRISPR-based transcription control.

The paper develops HT-recruit, a high-throughput assay to identify transcriptional effectors in human proteins, finding repressor function correlates with evolutionary age and discovering new activator domains.

This paper introduces GalNAzMe, a monosaccharide probe that selectively labels O-GalNAc glycosylation in living cells, enabling detailed study of this cancer-relevant modification.

Integrating expression, allelic expression and splicing across tissues identifies rare variants with relevance to traits.

The paper identifies off-target effects in CRISPR-Cas9 screens for non-coding elements and shows that strict filtering with specificity scores improves the identification of essential regulatory regions.

This study uses a CRISPR-based screen to identify genes critical for Hedgehog signaling and ciliary function, revealing novel components of ciliary structures and linking congenital heart defects to ciliopathies.

The paper identifies multi-loop activation hubs during macrophage development using Hi-C data, showing they are enriched for AP-1 binding and driven by cell-type specific transcription factors.