Sandy L. Klemm

This paper develops beCasKAS, a method to directly detect off-target base editor activity in primary cells, revealing distinct off-target profiles and enabling risk stratification of edits.

The paper identifies a disease-associated motor neuron state in a mouse ALS model that precedes cell death and links it to human ALS genetic risk factors.

This study profiles single-nucleus transcriptomes of adult mouse spinal motor neurons to identify transcriptional subtypes and their functional roles.

This paper develops a single-cell multi-omic framework to identify malignant regulatory signatures in mixed phenotype acute leukemia by analyzing transcriptomic and epigenetic data.

The paper develops a high-throughput single-cell ATAC-seq method and applies it to cluster PBMCs by hematopoietic cell type.