Ken Jean-Baptiste

The paper uses single cell RNA sequencing to assess the effects of protein-altering variants in three genes, showing that single cell expression signatures are more effective than bulk assays and computational models for predicting pathogenicity.

This study uses single-cell RNA-seq to analyze gene expression in A. thaliana root cells, identifying cell-type-specific genes and developmental trajectories, and shows cell-type differences in heat stress responses.

The paper examines regulatory DNA variation in Arabidopsis thaliana, finding that chromatin accessibility differences often correlate with gene expression changes despite limited sequence variation.