Taibo Li

Single-cell profiling of trabecular meshwork identifies mitochondrial dysfunction in a glaucoma model that is protected by vitamin B3 treatment

The paper identifies mitochondrial dysfunction in a glaucoma model using single-cell analysis and shows that vitamin B3 treatment protects against IOP elevation.

Determining gene specificity from multivariate single-cell RNA sequencing data

The paper introduces ember, an entropy-based framework to assess gene specificity in single-cell RNA sequencing data, revealing unexpected patterns in gene expression across tissues and mouse strains.

Single-Cell Characterization of Anterior Segment Development: Cell Types, Pathways, and Signals Driving Formation of the Trabecular Meshwork and Schlemm's Canal

The paper uses single-cell transcriptomics to characterize anterior segment development, identifying cell types, pathways, and signaling networks in trabecular meshwork and Schlemm's canal formation.

Genotype inference from aggregated chromatin accessibility data reveals genetic regulatory mechanisms

The paper performs genotype inference from aggregated chromatin accessibility data to identify caQTLs and their links to gene expression and complex traits.

Functional impact of rare variants and sex across the X-chromosome and autosomes

The paper investigates functional rare variants on the X-chromosome and autosomes, showing sex-biased effects and pharmacogenomic implications.

Transcriptomic profiling of Schlemm's canal cells reveals a lymphatic-biased identity and three major cell states

The paper performs transcriptomic analyses of Schlemm's canal endothelial cells to reveal their lymphatic identity, three major cell states, and interactions with trabecular meshwork cells.

The Drosophila histone methyl-transferase SET1 coordinates multiple signaling pathways in regulating male germline stem cell maintenance and differentiation

This study shows that the Drosophila SET1 histone methyltransferase regulates male germline stem cell maintenance and differentiation by coordinating JAK-STAT and BMP signaling pathways.

The functional impact of rare variation across the regulatory cascade

The paper identifies impactful rare variants by integrating multi-omic data from MESA, showing that combining expression and protein data increases the detection of rare stop and frameshift variants.

Leveraging polygenic enrichments of gene features to predict genes underlying complex traits and diseases

The paper introduces a method to prioritize causal genes for complex traits by integrating GWAS data with gene expression and biological data, achieving high precision in gene-trait pair identification.

Using brain cell-type-specific protein interactomes to interpret genetic data in schizophrenia

The paper uses brain cell-type-specific protein interactomes to interpret genetic data in schizophrenia and identifies enriched networks and genes associated with the disease.

Kinetic principles underlying pioneer function of GAGA transcription factor in live cells

The paper studies the kinetic behavior of the GAGA transcription factor in live Drosophila cells, showing it stably binds chromatin for over 2 minutes, independent of chromatin remodelers.

X-chromosome dosage compensation dynamics in human early embryos

The paper examines X-chromosome dosage compensation in human embryos, finding balanced X:A ratios and XCI starting at day 6-7 blastocyst stage.

GeNets: A unified web platform for network-based analyses of genomic data

GeNets provides a platform to compare genomic networks using machine learning and allows analysis of genetic and RNA sequencing data.

A scored human protein-protein interaction network to catalyze genomic interpretation

The paper constructs a scored human protein-protein interaction network, InWeb_IM, which has more interactions and better functional signal than existing resources, and applies it to annotate genes from cancer and neuropsychiatric disease genomes.