The combination of spatial transcriptomics (ST) and single cell RNA sequencing (scRNA-
seq) acts as a pivotal component to bridge the pathological phenomes of human tissues with …

The development of spatial transcriptomics (ST) technologies has transformed genetic
research from a single-cell data level to a two-dimensional spatial coordinate system and …

Spatial omics technologies generate wealthy but highly complex datasets. Here we present
Spatial Omics DataBase (SODB), a web-based platform providing both rich data resources …

Microglia play a critical role in brain homeostasis and disease progression. In
neurodegenerative conditions, microglia acquire the neurodegenerative phenotype (MGnD) …

Spatial transcriptomics are a collection of genomic technologies that have enabled
transcriptomic profiling on tissues with spatial localization information. Analyzing spatial …

One major challenge in analyzing spatial transcriptomic datasets is to simultaneously
incorporate the cell transcriptome similarity and their spatial locations. Here, we introduce …

Skeletal muscle repair is driven by the coordinated self-renewal and fusion of myogenic
stem and progenitor cells. Single-cell gene expression analyses of myogenesis have been …

The cellular interactions in the tumor microenvironment of colorectal cancer (CRC) are
poorly understood, hindering patient treatment. In the current study, we investigate whether …

Spatial transcriptomics promises to greatly improve our understanding of tissue organization
and cell–cell interactions. While most current platforms for spatial transcriptomics only offer …

Advances in self-organizing cardiac organoids to recapitulate human cardiogenesis have
provided a powerful tool for unveiling human cardiac development, studying cardiovascular …