Spatially charting molecular cell types at single-cell resolution across the 3D volume is
critical for illustrating the molecular basis of brain anatomy and functions. Single-cell RNA …

The mammalian brain consists of millions to billions of cells that are organized into many cell
types with specific spatial distribution patterns and structural and functional properties …

In mammalian brains, millions to billions of cells form complex interaction networks to enable
a wide range of functions. The enormous diversity and intricate organization of cells have …

The function of the mammalian brain relies upon the specification and spatial positioning of
diversely specialized cell types. Yet, the molecular identities of the cell types and their …

Charting an organs' biological atlas requires us to spatially resolve the entire single-cell
transcriptome, and to relate such cellular features to the anatomical scale. Single-cell and …

Single-cell transcriptomics can provide quantitative molecular signatures for large, unbiased
samples of the diverse cell types in the brain,–. With the proliferation of multi-omics datasets …

Cellular function in tissue is dependent on the local environment, requiring new methods for
spatial mapping of biomolecules and cells in the tissue context. The emergence of spatial …

A mammalian brain is composed of numerous cell types organized in an intricate manner to
form functional neural circuits. Single-cell RNA sequencing allows systematic identification …

INTRODUCTION Single-cell RNA sequencing has demonstrated that both stable cell types
and transient cell states can be discovered and defined by transcriptomes. In situ …

Spatial positions of cells in tissues strongly influence function, yet a high-throughput,
genome-wide readout of gene expression with cellular resolution is lacking. We developed …