Yichao Li

This paper develops a non-viral genome-editing method called STEP-RNPs that effectively treats Angelman syndrome in mice and human neurons, showing functional genetic rescue without off-target effects.

The paper uses population-scale GUIDE-seq-2 and CHANCE-seq to analyze how genetic variants affect Cas9 activity, finding frequent context-dependent effects on off-target sites.

The paper evaluates and optimizes sequence-based gene regulatory deep learning models using a DREAM Challenge dataset, showing improvements through architectural and training strategy refinements.

This study develops a genome-edited autologous CD34+ cell therapy to induce fetal hemoglobin for sickle cell disease, showing efficient editing, therapeutic HbF levels, and no off-target effects.

This study identifies conserved and species-specific cis-regulatory elements in human and mouse blood cells using integrative epigenomic analysis and clustering.

The paper introduces CHANGE-seq-BE, a method for sensitive and unbiased profiling of base editor off-target effects in vitro.

The paper introduces multiplex-GAM, a ligation-free method for genome-wide chromatin contact mapping, showing it detects different strong contacts compared to Hi-C, particularly involving active genomic regions.

This study identifies DNA methylation signatures in grass carp during domestication, linking them to growth, immunity, and feeding traits through whole-genome bisulfite sequencing.

The paper identifies 15 cis-regulatory motifs controlling pollen-specific expression of HRGP genes in Arabidopsis thaliana using RNA-seq and promoter analysis.

The paper develops a motif prediction pipeline to identify regulatory motifs in Brugia malayi, focusing on those involved in the L3-L4 molt stage.