Recent advances in single-cell technologies have enabled high-throughput molecular
profiling of cells across modalities and locations. Single-cell transcriptomics data can now …

The formation and maintenance of tissue integrity requires complex, coordinated activities
by thousands of genes and their encoded products. Until recently, transcript levels could …

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

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 …

Mass spectrometry (MS)-based proteomics has become a powerful technology to quantify
the entire complement of proteins in cells or tissues. Here, we review challenges and recent …

The natural history of cancers can be understood through the lens of evolution given that the
driving forces of cancer development are mutation and selection of fitter clones. Cancer …

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 …

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer entity characterized by a
heterogeneous genetic landscape and an immunosuppressive tumor microenvironment …

Single-cell technologies, particularly single-cell RNA sequencing (scRNA-seq) methods,
together with associated computational tools and the growing availability of public data …

Spatial omics technologies enable a deeper understanding of cellular organizations and
interactions within a tissue of interest. These assays can identify specific compartments or …