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

Spatial patterns of gene expression manifest at scales ranging from local (eg, cell-cell
interactions) to global (eg, body axis patterning). However, current spatial transcriptomics …

Understanding the molecular programs that guide cellular differentiation during
development is a major goal of modern biology. Here, we introduce an approach …

Transcriptional and epigenetic profiling of single-cells has advanced our knowledge of the
molecular bases of gastrulation and early organogenesis. However, current approaches rely …

Cells do not live in a vacuum, but in a milieu defined by cell–cell communication that can be
measured via emerging high-resolution spatial transcriptomics approaches. However …

Spatial transcriptomics can reveal spatially resolved gene expression of diverse cells in
complex tissues. However, the development of computational methods that can use the …

The rapid emergence of spatial transcriptomics (ST) technologies is revolutionizing our
understanding of tissue spatial architecture and biology. Although current ST methods …

Spatial transcriptomic technologies promise to resolve cellular wiring diagrams of tissues in
health and disease, but comprehensive mapping of cell types in situ remains a challenge …

Capturing and depicting the multimodal tissue information of tissues at the spatial scale
remains a significant challenge owing to technical limitations in single-cell multi-omics and …

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 …