Peter Lönnerberg

TL;DR: Large-scale single-cell RNA sequencing is used to classify cells in the mouse somatosensory cortex and hippocampal CA1 region and found 47 molecularly distinct subclasses, comprising all known major cell types in the cortex.

TL;DR: It is shown that RNA velocity—the time derivative of the gene expression state—can be directly estimated by distinguishing between unspliced and spliced mRNAs in common single-cell RNA sequencing protocols, and expected to greatly aid the analysis of developmental lineages and cellular dynamics, particularly in humans.

TL;DR: RNA sequencing of half a million single cells was used to create a detailed census of cell types in the mouse nervous system and mapped cell types spatially and derived a hierarchical, data-driven taxonomy.

TL;DR: The results suggest that itching during inflammatory skin diseases such as atopic dermatitis is linked to a distinct itch-generating type, and demonstrate single-cell RNA-seq as an effective strategy for dissecting sensory responsive cells into distinct neuronal types.

TL;DR: It is shown that molecular labels—random sequences that label individual molecules—can nearly eliminate amplification noise, and that microfluidic sample preparation and optimized reagents produce a fivefold improvement in mRNA capture efficiency.