Cancers represent complex ecosystems comprising tumor cells and a multitude of non-
cancerous cells, embedded in an altered extracellular matrix. The tumor microenvironment …

Methods for profiling RNA and protein expression in a spatially resolved manner are rapidly
evolving, making it possible to comprehensively characterize cells and tissues in health and …

The growing availability of single-cell data, especially transcriptomics, has sparked an
increased interest in the inference of cell-cell communication. Many computational tools …

Spatial transcriptomic technologies and spatially annotated single-cell RNA sequencing
datasets provide unprecedented opportunities to dissect cell–cell communication (CCC) …

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 development of single-cell and spatial transcriptomics methods was instrumental in the
conception of the Human Cell Atlas initiative, which aims to generate an integrated map of …

The recent advancement in spatial transcriptomics technology has enabled multiplexed
profiling of cellular transcriptomes and spatial locations. As the capacity and efficiency of the …

Background Cell-cell interactions are important for information exchange between different
cells, which are the fundamental basis of many biological processes. Recent advances in …

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 …

Spatially resolved transcriptomics provides genetic information in space toward elucidation
of the spatial architecture in intact organs and the spatially resolved cell-cell …