Yingleong Chan

The paper develops an artificial neural network approach to integrate 2D/3D single-cell spatial RNA sequence data from virus-infected human cerebral organoids to study neurodegenerative disease mechanisms.

This study develops a high-throughput platform using human cerebral organoids to screen for compounds that reverse HSV-1-induced neuroinflammation biomarkers associated with Alzheimer's disease.

The paper screens cerebrospinal fluid from MS and non-MS patients using a multiplex peptide library to identify microbial and autoantigenic epitopes enriched in MS.

The paper introduces a method to multiplex reprogram somatic cells into iPSCs and estimates donor contributions using pooled sequencing and SNPs, finding consistent reprogramming ability across donors.

The paper investigates the association between mitochondrial variant MT:10398A>G and heteroplasmy in brain tissue and lymphoblastoid cell lines, identifying its role in mitochondrial function and disease phenotypes.

The paper identifies cell type specific driver genes in autism-associated copy number loci using cerebral organoids and validates findings with CRISPR/Cas9-edited mosaic organoids.

The paper introduces a Cas9-based method to create and functionally profile eukaryotic DNA variant libraries, enabling efficient analysis of genetic alterations.