Recent advances in single-cell sequencing technologies offer an opportunity to explore cell–
cell communication in tissues systematically and with reduced bias. A key challenge is …

Single-cell transcriptomics (scRNA-seq) has become essential for biomedical research over
the past decade, particularly in developmental biology, cancer, immunology, 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 promise to resolve cellular wiring diagrams of tissues in
health and disease, but comprehensive map** of cell types in situ remains a challenge …

Single-cell atlases promise to provide a 'missing link'between genes, diseases and
therapies. By identifying the specific cell types, states, programs and contexts where disease …

Deciphering the principles and mechanisms by which gene activity orchestrates complex
cellular arrangements in multicellular organisms has far-reaching implications for research …

The relationship between the human placenta—the extraembryonic organ made by the
fetus, and the decidua—the mucosal layer of the uterus, is essential to nurture and protect …

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

Abstract Models of intercellular communication in tissues are based on molecular profiles of
dissociated cells, are limited to receptor–ligand signaling and ignore spatial proximity in situ …

Non-small cell lung cancer (NSCLC) is characterized by molecular heterogeneity with
diverse immune cell infiltration patterns, which has been linked to therapy sensitivity and …