Adam J. Litterman

X-Cell predicts causal perturbation responses across diverse cellular contexts using a diffusion language model trained on a large CRISPRi Perturb-seq dataset.

The paper introduces a scalable Perturb-seq platform called FiCS Perturb-seq and releases X-Atlas/Orion, a large Perturb-seq atlas, to improve foundation model development through dose-dependent genetic effects.

The paper develops a SAMHD1 knockout iPSC model that enhances lentiviral transduction efficiency in myeloid cells, enabling better functional genomics studies in innate immunity and inflammatory diseases.

This paper optimizes CRISPR guide RNA library cloning to reduce bias and enables more compact genetic screens with equivalent results using fewer cells.

The paper develops GCLiPP to map RNA binding protein occupancy and identifies cis-regulatory elements in T cell 3' UTRs, revealing shared regulatory mechanisms across human and mouse.