Yongming Wang

The paper enhances glycoprotein secretion in yeast by engineering a human-like protein quality control system, resulting in up to 12-fold increased production of therapeutic glycoproteins.

This study identifies StaCas9 as a compact and efficient CRISPR-Cas9 variant with improved genome editing capabilities, particularly for therapeutic applications.

The paper identifies type II-C Cas9 orthologs with diverse PAM recognition capabilities, enhancing allele-specific genome editing.

BEdeepon predicts base editor efficiencies and outcome sequences using deep learning models trained on high-throughput screening data.

BEdeepoff predicts off-target editing efficiencies for ABE and CBE base editors using deep learning models trained on high-throughput screening data.

The paper identifies and engineers a compact SlugCas9 variant with broad targeting range, high specificity, and activity for genome editing.