Amit Zeisel

The paper introduces BehaveSeq, a method that reconstructs minute-scale developmental transcriptomics by integrating behavioral monitoring with single-cell transcriptomic profiling in C. elegans.

The paper introduces ROInet-seq, a method to map brain-wide monosynaptic connectivity using barcoded rabies virus and RNA-sequencing, revealing preserved regional network motifs in cortical areas.

This study creates a goldfish telencephalon cell type atlas using single-cell RNA-seq and spatial transcriptomics, revealing conserved and divergent features in neural organization across vertebrates.

The paper analyzes brain cytoarchitecture in a large mouse population, finding non-uniform scaling of cell density and volume with brain size and significant sex, strain, and lateral differences.

The paper identifies cell types in the mouse amygdala and their transcriptional response to fear conditioning using single-cell RNA-seq and spatial transcriptomics.

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.

The paper develops a cyclic smFISH method to map cell-specific markers in the somatosensory cortex, revealing its spatial organization using markers from single-cell transcriptomics.

This paper introduces SMURF, a method to combine 16S rRNA gene sequencing from multiple regions to improve microbial community resolution.

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.