Åsa K. Björklund

The paper identifies gene-expression gradients along the lung airway axis and shows FGFR-signaling establishes these gradients postnatally.

This study maps the spatiotemporal cellular dynamics of human skin wound healing using single-cell and spatial transcriptomics, identifying FOSL1 as critical for re-epithelialization and highlighting differences in chronic wounds.

The paper develops a comprehensive reference tool for human embryogenesis using integrated single-cell RNA-sequencing data to benchmark embryo models.

This study uses single-cell transcriptomics and spatial analysis to map early mouse skin development, revealing new cell types and interactions.

The paper characterizes human prenatal cardiomyocytes using single-cell RNA sequencing and spatial transcriptomics, identifying eight distinct types with location-dependent properties and ligand-receptor interactions.

The paper analyzes nuclear and cytosolic transcriptomes in human brain tissue, showing significant differences in RNA expression and subcellular localization patterns.

This study uses single-nuclei RNA-sequencing to identify molecular subpopulations in the subthalamic nucleus, revealing two main subpopulations and additional Pitx2+ subpopulations with markers of neighboring structures.

The paper identifies and characterizes prototypical pacemaker neurons in Hydra that express immune-related genes and interact with the microbial environment.

The paper uses scRNA-seq to analyze graft composition in a Parkinson’s disease cell therapy model, revealing differences between human stem cell-derived and fetal tissue grafts.

Conbase identifies clonal somatic mutations in single cells using read phasing, validated on simulated data and human samples.

The paper uses single-cell transcriptomics to show that embryonic Pdgfra+ cells give rise to OPCs with convergent transcriptional profiles in different CNS regions.