Feng Lan

Optimization of gene knockout approaches and practical solutions to sgRNA selection challenges in hPSCs with inducible Cas9 system

This study optimizes gene knockout in hPSCs using an inducible Cas9 system and identifies effective sgRNAs by comparing experimental results with cleavage efficiency algorithms.

In vivo proximity proteomics uncovers palmdelphin (PALMD) as a Z-line-associated mitigator of isoproterenol-induced cardiac injury

This study identifies PALMD as a Z-line-associated protein that mitigates cardiac injury through stabilization of NEXN using in vivo proximity proteomics.

BEdeepon: an in silico tool for prediction of base editor efficiencies and outcomes

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

BEdeepoff: an in silico tool for off-target prediction of ABE and CBE base editors

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

Discovery and engineering of small SlugCas9 with broad targeting range and high specificity and activity

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

Dissociation of disease phenotype and allele silencing in hypertrophic cardiomyopathy

This study compares two allele-specific silencing strategies in a human model of hypertrophic cardiomyopathy, finding that reducing both alleles improves contractility more than targeting only the disease allele.