Jeffrey A. Hussmann

This study uses prime editing to identify and characterize MutSβ inhibitors that reduce (CAG)n repeat expansion.

The paper introduces COMET, a high-throughput screening platform for identifying transcriptional modulators by testing combinatorial dCas9-based fusion proteins, and finds over 5800 significant hits that modulate transcription.

The paper performs genome-scale Perturb-seq to map genotype-phenotype relationships, uncovering new gene functions and stress-specific mitochondrial regulation.

The paper introduces Repair-seq to study DSB repair by profiling genetic perturbations and identifies dependencies and novel mechanisms in repair pathways.

The paper identifies GIGYF2 and 4EHP as translation inhibitors that suppress re-initiation of defective mRNAs, aiding ribosome-associated quality control and preventing toxic protein accumulation.

The paper introduces Cassiopeia, a method for inferring single-cell phylogenies from lineage tracing data, and benchmarks it against traditional methods using a large experimental dataset.

This paper introduces a method to directly capture CRISPR guides in single-cell RNA-sequencing libraries, enhancing Perturb-seq scalability and enabling multi-omic measurements.

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

Long-read sequencing with the knock-knock pipeline profiles CRISPR knock-in repair, finding perfect homology-directed repair is often a minority of integration events and mis-integration varies by context.