Max A. Horlbeck

Transcription factor collaboration enables precise T cell state engineering

The paper identifies transcription factor collaborations that shape CD8+ T cell states and demonstrates how engineering these interactions can influence cell fate for therapeutic applications.

Engineered histones reshape chromatin in human cells

This study identifies engineered histone variants that modulate chromatin structure and function, revealing sequence-to-function patterns and enabling the design of synthetic histones for specific chromatin states.

Single-cell multi-scale footprinting reveals the modular organization of DNA regulatory elements

The paper introduces PRINT, a deep learning method to correct chromatin accessibility data and analyze DNA-protein interactions, revealing structural and functional changes in cis-regulatory elements during hematopoiesis and aging.

Titrating gene expression with series of systematically compromised CRISPR guide RNAs

This paper develops a method to control gene expression using CRISPR interference and deep learning, revealing gene-specific expression-phenotype relationships.

Exploring genetic interaction manifolds constructed from rich phenotypes

The paper explores genetic interaction manifolds using rich phenotypes from Perturb-seq to classify and mechanistically understand genetic interactions.

Cellular response to small molecules that selectively stall protein synthesis by the ribosome

The paper identifies genetic modifiers of cell growth in response to a PCSK9 translational inhibitor and reveals their roles in ribosome quality control.