Peter Lönnerberg

OTTR combines live imaging and spatial transcriptomics to link cell behavior to molecular states in human tissues.

The paper generates a single-cell and spatial transcriptomic atlas of human fetal meninges and finds that meningiomas likely originate from dura lineage cells.

The paper identifies two distinct radial glia subtypes in the developing midbrain and shows their different roles in dopaminergic neuron development using human stem cells.

This study creates a comprehensive cell atlas of the first-trimester human brain using single-cell RNA sequencing and spatial transcriptomics, identifying over 600 distinct cell states and their spatial organization.

This study identifies 461 cell clusters and 3313 subclusters in the adult human brain using single-nucleus RNA sequencing, revealing regional diversity in neurons and astrocytes.

The paper constructs a single-cell chromatin accessibility atlas of the human first trimester brain, identifies regulatory elements linked to gene expression, and links disease SNPs to potential pathogenic mechanisms.

The paper creates a single-cell transcriptome atlas of mouse brain development, identifying over 1000 cell states and linking tumor cells to developmental states.

The paper introduces an imaging-free spatial transcriptomics technique called STRP-seq, validated on murine and lizard brains, revealing regional molecular anatomy.

The paper identifies primate sensory neuron types associated with human chronic pain using transcriptomics and maps human pain heritability to these neuronal types.

Unspliced versus spliced mRNA in standard scRNA-seq gives RNA velocity, a per-cell vector predicting future state over hours, validated in neural crest and used to trace mouse hippocampal lineages.

The paper maps cell types in the mouse nervous system using single-cell RNA sequencing and identifies distinct astrocyte and oligodendrocyte subtypes with specific molecular and spatial characteristics.

This study uses single-cell RNA-seq to show that hippocampal neurogenesis in mice has continuous molecular dynamics across development and adulthood, with key transformations in radial glia and granule cells.

The paper introduces STRT-seq-2i, a high-throughput single-cell RNA-seq platform, and demonstrates its application on fresh mouse and frozen human cortical samples.

The paper uses scRNA-seq to classify CA1 interneurons into a 5-level hierarchy, identifies novel molecular markers, and discovers a new interneuron population called R2C2 cells.