No cell lives in a vacuum, and the molecular interactions between cells define most
phenotypes. Transcriptomics provides rich information to infer cell–cell interactions and …

Single-cell transcriptomics has broadened our understanding of cellular diversity and gene
expression dynamics in healthy and diseased tissues. Recently, spatial transcriptomics has …

Spatial omics data are clustered to define both cell types and tissue domains. We present
Building Aggregates with a Neighborhood Kernel and Spatial Yardstick (BANKSY), an …

Spatial clustering, which shares an analogy with single-cell clustering, has expanded the
scope of tissue physiology studies from cell-centroid to structure-centroid with spatially …

Epithelial-mesenchymal transition (EMT) and proliferation play important roles in epithelial
cancer formation and progression, but what molecules and how they trigger EMT is largely …

Technology for spatial multi-omics aids the discovery of new insights into cellular functions
and disease mechanisms. Here we report the development and applicability of multi-omics …

The intestinal immune system is highly adapted to maintaining tolerance to the commensal
microbiota and self-antigens while defending against invading pathogens,. Recognizing …

Mucosal‐associated invariant T (MAIT) cells have a semi‐invariant T‐cell receptor that
allows recognition of antigen in the context of the MHC class I‐related (MR1) protein …

Although the spatial, cellular and molecular landscapes of resected pancreatic ductal
adenocarcinoma (PDAC) are well documented, the characteristics of its metastatic ecology …

Spatially resolved transcriptomics has been dramatically transforming biological and
medical research in various fields. It enables transcriptome profiling at single‐cell, multi …