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 …

Almost all biomedical research to date has relied upon mean measurements from cell
populations, however it is well established that what it is observed at this macroscopic level …

Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for investigating
cellular biology at an unprecedented resolution, enabling the characterization of cellular …

Highlights•Tumor-immune CCIs can be investigated using scRNA-seq and ST
strategies.•CCI studies elucidate fundamental mechanisms in disease state.•Open-source …

Triple‐negative breast cancer (TNBC) is often considered one of the most aggressive
subtypes of breast cancer, characterized by a high recurrence rate and low overall survival …

Cell–cell interactions are the fundamental behaviors to regulate cellular activities. A
comprehensive evaluation of intercellular interactions requires direct profiling of various …

Background Single-cell RNA sequencing, also known as scRNA-seq, is a method profiling
cell populations on an individual cell basis. It is particularly useful for more deeply …

A healthy heart comprises various cell types, including cardiomyocytes, endothelial cells,
fibroblasts, immune cells, and among others, which work together to maintain optimal …

Oncolytic viruses (OVs) have emerged as a potential strategy for tumor treatment due to their
ability to selectively replicate in tumor cells, induce apoptosis, and stimulate immune …

Apoptosis and clearance of apoptotic cells via efferocytosis are evolutionarily conserved
processes that drive tissue repair. However, the mechanisms by which recognition and …