Sebastian Pott

This paper introduces a sequence-to-distribution framework to predict single-molecule chromatin states from DNA sequence, revealing new regulatory mechanisms and variant effects.

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 investigates whether persistent inflammation in Crohn's disease is due to environmental triggers or intrinsic epithelial changes by comparing organoid and tissue data from patients in remission.

The paper constructs a cell-type-resolved chromatin accessibility atlas in the human intestine and identifies regulatory programs and genetic variants associated with Crohn's disease.

This study shows that Bacteroides fragilis from UC patients promotes colitis in genetically susceptible mice, suggesting a role for pathobionts in IBD.

This paper introduces GoM DE, a differential expression analysis method that allows cells to have partial membership in multiple groups, improving the interpretation of structure in single-cell sequencing data.

This study integrates single-cell epigenomics with GWAS to identify risk variants and genes for Atrial Fibrillation, highlighting key transcription factors and pathways.

This study identifies Hedgehog signaling as a regulator of differentiation timing through a heterochronic gene regulatory network in cardiac and neural lineages.

This study identifies divergence in alternative polyadenylation (APA) between humans and chimpanzees as a contributor to gene regulatory differences, particularly in protein expression.

The paper identifies genetic variants affecting alternative polyadenylation (APA) and shows their impact on gene expression, protein levels, and disease risk.

This study identifies a Hedgehog-FGF signaling axis critical for anterior mesoderm patterning during gastrulation using single-cell transcriptomics in Hh-deficient embryos.

The paper compares Drop-seq and DroNc-seq in profiling cardiomyocyte differentiation, finding similar cell types and trajectories in both methods.

This paper introduces scNOMe-seq, a method to measure chromatin accessibility, DNA methylation, and nucleosome phasing in single cells, revealing CTCF footprints and nucleosome phasing distances.