Rance Nault

GEOMeta automates metadata curation for GEO transcriptomic data, generating standardized annotations for 600,000 human bulk RNA-seq samples and benchmarking LLMs for annotation quality.

This study uses multi-modal mass spectrometry imaging to show that PFOS isomers have distinct spatial distributions in mouse liver and cause zonal lipid disruptions.

This study shows TCDD exposure causes dose-dependent changes in mouse urinary metabolites linked to AHR-mediated gene expression in the liver.

This study shows that omega-3 fatty acids and glucocorticoids synergistically suppress inflammatory gene expression in SLE macrophages, promoting a pro-resolving M2 phenotype and potentially reducing steroid dependence.

This study uses single nucleus RNA-sequencing to show that a high-fat hypertensive diet induces coordinated gene expression changes across cell types in thoracic perivascular adipose tissue in Dahl SS rats.

This study identifies enteric glia as a key cellular target for early life stress and biological sex in promoting gastrointestinal dysfunction similar to human DGBI.

The paper uses snRNAseq to analyze thoracic aortic perivascular adipose tissue (taPVAT) and subscapular brown adipose tissue (BAT) in rats, identifying cell-specific gene expression and highlighting PIEZO1 as a key mechanotransducer in taPVAT.

This paper introduces scVIDR, a variational autoencoder for predicting dose-dependent gene expression in single cells across different cell types and tissues, showing improved performance over existing methods.

This study benchmarks Bayesian and frequentist methods for differential gene expression analysis in dose-response scRNA-seq studies, finding that multi-group methods outperform two-group approaches.

This study uses single nuclei RNA sequencing to identify cell-specific transcriptional changes and population shifts in mouse liver exposed to TCDD, revealing increased macrophages and RAS signaling in nonparenchymal cells.