D. Leland Taylor

The paper presents the Human Gut Cell Atlas v1.0, a unified reference of gut cell diversity, revealing how tissue structure influences cellular composition and enabling disease and organoid analysis.

The paper identifies molecular signatures of Crohn's disease using scRNA-seq data from terminal ileal biopsies, highlighting key cell types and pathways involved in disease pathogenesis.

The paper identifies genetic factors influencing iPSC growth rates, finding rare variants in WDR54 and a polygenic background explaining most variance.

The paper maps cell-type-specific eQTLs in IBD patients to identify effector genes and mechanisms linking genetic risk to disease.

The paper uses direct RNA nanopore sequencing to identify RNA modification changes in human pancreatic beta-cells after glucose stimulation, finding 1,697 differentially modified sites linked to type 2 diabetes genes.

This study uses single-cell RNA sequencing to analyze gene expression changes in human pancreatic islets under different glucose conditions over 24 hours, identifying genes and modules associated with time, glucose exposure, and their interaction.

This study functionally interrogates 20 T2D-associated genes using isogenic hESC-derived β-like cells, identifying variants and genes linked to insulin production and lipotoxicity sensitivity.

This paper identifies miRNAs associated with type 2 diabetes and glycemic traits through genetic analysis of miRNA expression in human pancreatic islets.

BoostMe improves DNA methylation imputation in WGBS data, enhancing concordance with the MethylationEPIC array and identifying tissue-specific regulatory features.

The paper identifies genetic-environment interactions in skeletal muscle gene expression using allele-specific expression and clinical traits as environmental proxies.