Jonas Frisén

The paper uses in utero barcoding and single-cell transcriptomics to map clonal relationships in mouse mesoderm-derived tissues, revealing lineage relationships in liver and heart mesenchyme.

This paper introduces neuroids, a modular organoid system that mimics the adult spinal cord injury microenvironment to study NSC differentiation and gliogenic bias.

MEA-seqX integrates electrophysiological and transcriptional data to reveal coordinated spatiotemporal dynamics in hippocampal circuits and identify cell types based on bimodal profiles.

The paper profiles clonal landscapes in mouse embryos to reveal spatial modulators of clonal fate biases using single-cell lineage tracing and clone2vec.

The paper assesses neuronal and non-neuronal cell turnover in the hippocampus of individuals with alcohol or cocaine abuse compared to healthy controls, finding no significant difference in turnover rates between groups.

The paper identifies heritable transcriptional diversity within cell types by studying clonal human lymphocytes and mouse brain cells, showing clone-specific chromatin accessibility leads to distinct gene expression.

This paper introduces spatial ATAC, a method for spatially resolved chromatin accessibility profiling, and demonstrates its application in studying gene regulation in mouse development and human disease.

The paper investigates fibrotic scarring in CNS lesions across species and lesion types, finding pericyte-derived fibrosis as a conserved mechanism.

This study uses single-cell and spatial transcriptomics to reveal clonal relationships and cell types in the mouse brain, showing fate-restricted progenitor cells and microglia origins.

The paper shows that parenchymal astrocytes can undergo neurogenesis when Notch signaling is reduced, mimicking neural stem cell behavior in both striatal and cortical regions.

This paper introduces HDST, a high-resolution spatial transcriptomics method, and demonstrates its application in mouse brain tissue to resolve spatial expression patterns and cell types.

The paper identifies distinct oligodendrocyte populations with spatial preferences and differential responses to spinal cord injury.

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

This study uses multidimensional transcriptomics to analyze immune cell distribution and identity in HER2+ breast tumors, revealing spatial heterogeneity and interpatient differences in immune infiltration.