Mo Li

This study identifies CCB79 as a primate-specific protein essential for maintaining neural progenitor diversity in developing brains by regulating ciliogenesis.

deepBlastoid is a deep learning model that classifies human blastoid brightfield images into quality categories with high accuracy and throughput, outperforming human experts in speed while matching their accuracy.

NanoRanger identifies disease-causing breakpoints in genomic disorders with single base-pair resolution, enabling accurate diagnosis and carrier status determination.

This study shows that modulating the MMEJ pathway components RPA and POLQ can reduce large deletions and enhance HDR after CRISPR-Cas9 editing.

This study shows that DMSO induces trophectoderm differentiation and blastoid formation from single human pluripotent stem cells without additional perturbations.

This paper describes a method to generate blastocyst-like structures from human pluripotent stem cells and shows they resemble blastocysts in morphology and transcriptome.

This paper introduces iMiGseq, a method for ultra-sensitive mtDNA sequencing in oocytes, revealing hidden heterogeneity and deleterious variants in human and mouse samples.

The paper develops a method to quantify rare genetic variants in human cells using long-read sequencing and shows CRISPR-Cas9 induces nonrandom large deletions and insertions.

This study identifies key amino acid residues and domains in FADS12 that influence catalytic activity and inhibition through domain swapping between two fungal species.

DeepSimulator generates realistic Nanopore sequencing data using a context-dependent deep learning model, improving signal accuracy and enabling tool development.