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

Organotypic models of patient-specific tumours are revolutionizing our understanding of
cancer heterogeneity and its implications for personalized medicine. These advancements …

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

Cancer cells evade T cell-mediated killing through tumour–immune interactions whose
mechanisms are not well understood,. Dendritic cells (DCs), especially type-1 conventional …

Resistance to therapeutic treatment and metastatic progression jointly determine a fatal
outcome of cancer. Cancer metastasis and therapeutic resistance are traditionally studied as …

Natural products, and especially the active ingredients found in traditional Chinese medicine
(TCM), have a thousand-year-long history of clinical use and a strong theoretical basis in …

Cell–cell interactions orchestrate organismal development, homeostasis and single-cell
functions. When cells do not properly interact or improperly decode molecular messages …

Hepatocellular carcinoma (HCC) has high relapse and low 5-year survival rates. Single-cell
profiling in relapsed HCC may aid in the design of effective anticancer therapies, including …

Understanding global communications among cells requires accurate representation of cell-
cell signaling links and effective systems-level analyses of those links. We construct a …

Immunotherapy has revolutionized cancer treatment and rejuvenated the field of tumor
immunology. Several types of immunotherapy, including adoptive cell transfer (ACT) and …