Ed S. Lein

This study compares cellular organization and interactions in human and mouse cortex using single-cell transcriptome imaging, finding conserved laminar organization but divergent cell-cell interactions in humans.

The paper generates a multimodal cell census and atlas of the mammalian primary motor cortex, revealing a unified molecular genetic landscape and cross-species taxonomy of cell types.

NS-Forest identifies minimal marker gene combinations for cell type determination from scRNA-seq data, revealing key roles of signaling and non-coding RNAs in neuronal identity.

This study creates two high-resolution anatomical atlases of prenatal human brains at PCW 15 and 21, annotated with gene expression and cytoarchitecture to identify developmental features.

The paper identifies conserved and divergent morpho-electric and transcriptomic properties of human and rodent layer 5 extratelencephalic-projecting neurons using patch-seq in human brain slices.

The paper uses single-cell RNA-seq to analyze relay neurons in the dLGN across species, finding subtle transcriptomic differences compared to morphological and functional distinctions.

The paper spatially maps human cortical cell types using in situ sequencing and single-nucleus RNA-sequencing to create a first spatial atlas of human cortical cells.

The paper describes an optimized Patch-seq technique for high-quality electrophysiological, morphological, and transcriptomic characterization of neurons, along with software tools for data acquisition and analysis.

The paper identifies oligodendrocyte precursor cells (OPCs) as major contributors to axon pruning in the mouse neocortex through phagocytic activity.

The paper identifies five major transcriptional patterns of brain disease risk genes across the adult human brain and highlights species-specific differences in psychiatric and substance abuse-related diseases.

The paper shows that expanded layers 2 and 3 in the left temporal cortex correlate with higher verbal intelligence scores and specific neuronal features.

ExSeq enables multiplexed RNA mapping at nanoscale resolution by expanding biological specimens for in situ sequencing.

The paper characterizes transcriptomic and physiological properties of GABAergic cortical neurons in mice, identifying 20 interneuron met-types with consistent features across modalities.

FR-Match matches cell type clusters from scRNA-seq data using the Friedman-Rafsky test, improving accuracy and identifying novel cell phenotypes.

This paper introduces HybISS, a spatial transcriptomic method that improves detection flexibility, multiplexing, and signal-to-noise while maintaining throughput efficiency in human and mouse brain tissue.

PRDD-seq simultaneously reconstructs cell type, lineage, and birthdate in human brain tissue by analyzing RNA and DNA mutations in single cells.

The paper identifies 27 transcriptomic cell types in mouse subiculum and prosubiculum, defines their anatomical boundaries, and reveals distinct neural circuits and projections along the dorsal-ventral axis.

The paper develops enhancer viruses and a transgenic mouse line to enable combinatorial labeling of specific neuronal subclasses in the mouse cortex and human slices.

The paper identifies von Economo neurons as a regionally specialized subtype of extratelencephalic-projecting excitatory neurons using single nucleus RNA-sequencing and cross-species comparisons.

The paper identifies enhancer elements that drive subclass-specific gene expression in neocortex across mouse, primate, and human species using comparative epigenetics and AAV-based functional assays.

The paper analyzes single-cell RNA-seq data from mouse neocortical neurons to identify widespread neuropeptide signaling networks across all cortical neurons.

The paper compares cell types in human and mouse cortex using single nucleus RNA-sequencing, finding conserved architecture with species-specific differences.

The paper classifies neurons in mouse visual cortex into 17 electrophysiological and 35 morphological types using unsupervised methods and links them to transcriptomic types.

The paper presents a method combining spatial transcriptomics with optogenetic mapping to resolve cell type characteristics in mouse cortex.

The paper shows that single-nucleus and single-cell RNA-seq can equally identify neuronal cell types in mouse visual cortex when intronic sequences are included.

The paper shows that h-channels contribute to differences in electrophysiological properties between human and mouse supragranular pyramidal neurons.

The paper identifies shared and distinct transcriptomic cell types in two mouse neocortical regions using scRNA-seq, showing most excitatory types are region-specific while inhibitory types are shared.

The paper examines sparse excitatory connectivity in adult mouse and human cortex using electrophysiology and optogenetics, finding sparse connections and synaptic dynamics across layers.

The paper confirms the presence of myelinated inhibitory axons in all layers of human neocortex, similar to findings in mice, and identifies their distinctive features and potential implications for neurological disorders.

The paper identifies a novel human cortical GABAergic interneuron subtype with unique transcriptomic, morphological, and physiological features not observed in rodents.