Harnessing agent-based frameworks in CellAgentChat to unravel cell–cell interactions from single-cell and spatial transcriptomics

Table 1.

Summary of properties and functionalities for all benchmarked CCI inference methods

Methods Properties Functions
CCI scorea Spatial transcriptomics data Spatial slices integration Multi-subunit Intracellular signaling In silico receptor blocking Long-/short-range interactions Dynamic animation
CellAgentChat Individual cell
CellChat Cell population
CellPhoneDB Cell population
NICHES Individual cell
COMMOT Individual cell
Scriabin Individual cell
Connectome Cell population
SingleCellSignalR Cell population
NATMI Cell population
scSeqComm Cell population
  • Note: Features of CellAgentChat features include integration of multiple spatial slices, single-cell resolution, in silico receptor blocking, identification of short- and long-range interactions, and dynamic animation of CCIs over time.

  • aIndividual cell CCI score can be aggregated to obtain cell population CCI scores.

This Article

  1. Genome Res. 35: 1646-1663

Preprint Server