Joseph Bergenstråhle

The paper introduces SiT, a method to characterize spatial isoform variation and sequence heterogeneity in tissue sections, revealing regional isoform switching and RNA editing in mouse brain.

The paper creates a comprehensive topographic atlas of early human lung development, identifying cell states, trajectories, and interactions to understand cell heterogeneity origins.

This paper introduces a method to combine histology and spatial gene expression data to infer high-resolution transcriptome maps without sequencing or hybridization.

The paper uses spatial transcriptomics to analyze copy number variations in benign and malignant tissues, revealing clonal patterns and suggesting early cancer evolution mechanisms.

Across 1,176,683 airway and lung cells from 22 datasets, ACE2 rises with age, in males and in smokers' multiciliated cells, and is lowest in young children.

The paper presents a probabilistic method integrating spatial transcriptomics and single-cell RNA-sequencing to spatially map cell types across tissues.