Libin Xu

This study examines the transcriptional effects of cardiac-specific Gpx4 deletion in mice and compares them to human cardiomyopathy, identifying ferroptosis-related pathways involved in heart disease.

This study examines temporal transcriptomic changes in mouse brains with and without SLOS mutations, identifying altered pathways and gene expression patterns at different developmental stages.

The paper identifies de novo mutations contributing to meningomyelocele risk by analyzing trios and finding damaging mutations in 22.3% of cases.

This study shows that oleic acid alters S. aureus membrane lipid composition, increasing resistance to antimicrobial peptides by changing biophysical properties.

The paper develops a drug exposure resource from untargeted metabolomics data to identify medications without clinical records.

This study shows oral BAC exposure reduces gut microbiome diversity and secondary bile acids in female mice more than males.

This study compares lipid composition variations in vesicles made by five methods, finding significant differences in cholesterol and phospholipid ratios, particularly with emulsion transfer.

This paper develops a graph neural network method to predict spatio-temporal stochastic gene expression efficiently, achieving faster computation and extrapolation capabilities.

The paper uses MALDI-IM-MS imaging to map sterol and lipid distributions in Dhcr7-KO and WT mouse brains, identifying differentially expressed lipids linked to SLOS pathophysiology.

This study shows that DHCR7 deficiency leads to oxysterol accumulation, causing premature neurogenesis and neuronal localization issues in SLOS, with GR as a potential therapeutic target.

The paper creates a large-scale CCS database for drugs and metabolites and develops a machine learning model to predict CCS values for different molecular forms.