Kevan C. Herold

Regulon-based clustering of islet scRNA-seq finds an IRF1-high, cytokine-driven beta cell state with reduced identity and autoantigen genes, enriched in type 1 diabetes donors.

This paper introduces a method to quantify perturbation effects at single-cell resolution using manifold-based likelihood estimation and vertex frequency clustering, achieving higher accuracy than existing methods.

This paper develops a non-viral CRISPR-Cas9 system for precise genome editing in human T cells, enabling therapeutic reprogramming of cell function and specificity.