Recent studies have highlighted spatially resolved multi-omics technologies, including
spatial genomics, transcriptomics, proteomics, and metabolomics, as powerful tools to …

As the field of single-cell transcriptomics matures, research is shifting focus from
phenomenological descriptions of cellular phenotypes to a mechanistic understanding of the …

Single-cell genomics technologies enable multimodal profiling of millions of cells across
temporal and spatial dimensions. Experimental limitations prevent the measurement of all …

Spatial transcriptomics and messenger RNA splicing encode extensive spatiotemporal
information for cell states and transitions. The current lineage-inference methods either lack …

Emerging spatial omics technologies continue to advance the molecular mapping of tissue
architecture and the investigation of gene regulation and cellular crosstalk, which in turn …

Data visualization empowers researchers to communicate their results that support scientific
reasoning in an intuitive way. Three-dimension (3D) spatially resolved transcriptomic atlases …

Single-cell RNA sequencing allows us to model cellular state dynamics and fate decisions
using expression similarity or RNA velocity to reconstruct state-change trajectories …

Background Owing to recent advances in resolution and field-of-view, spatially resolved
transcriptomics sequencing, such as Stereo-seq, has emerged as a cutting-edge technology …

Single-cell spatial transcriptomics such as in-situ hybridization or sequencing technologies
can provide subcellular resolution that enables the identification of individual cell identities …

The avian optic tectum (OT) has been studied for its diverse functions, yet a comprehensive
molecular landscape at the cellular level has been lacking. In this study, we applied spatial …