Reuben A. Saunders

The paper introduces an imaging-based pooled screening method to identify genetic perturbations and their effects on cell states and neighboring cells in intact tissues.

The paper develops a contrastive learning model to integrate scRNA-seq data and perturbation responses, revealing conserved and cell-type-specific cellular responses to genetic perturbations.

The paper uses sequential CRISPR activation screens to identify genes sufficient for viral entry into cells, demonstrating effectiveness with Ebola and rabies viruses.

PEtracer maps cell state and lineage dynamics in vivo with high spatial resolution using prime editing and multimodal imaging.

The paper develops a platform combining imaging and sequencing to study genetic perturbations in mouse liver, identifying regulators of hepatocyte zonation and liver unfolded protein response.

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

The paper shows that flanking sequences of CAG repeat-containing RNA affect its toxicity, non-ATG translation, and cytoplasmic aggregation, linking these to neurodegenerative disease mechanisms.

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