scConnect

scConnect is a computational method for unveiling putative ligand-receptor interactions between cell types using single-cell RNA-sequencing data. By constructing multidirectional graphs that infer and incorporate these interactions, scConnect facilitates a nuanced exploratory analysis within complex cellular environments. Its ability to identify common and specific cell-to-cell interactions is demonstrated through applications in diverse biological contexts, including the mouse brain and human tumors, aligning with anticipated biological interactions.

The tool stands out for its comprehensive approach, extending predictions to molecular ligands by integrating gene information for ligand production and transport, broadens the scope of scConnect, making it an invaluable resource for generating unbiased hypotheses about ligand-receptor dynamics across different cell populations and for in silico network analysis.

As a general tool, scConnect seamlessly integrates into existing transcriptome analysis pipelines, enhancing them with its specialized focus on cell-to-cell communication.