ScConnect: a method for exploratory analysis of cell-cell communication based on single-cell RNA-sequencing data.

ABSTRACT:

Motivation

Cell to cell communication is critical for all multicellular organisms, and single-cell sequencing facilitates the construction of full connectivity graphs between cell types in tissues. Such complex data structures demand novel analysis methods and tools for exploratory analysis.

Results

We propose a method to predict the putative ligand-receptor interactions between cell types from single-cell RNA-sequencing data. This is achieved by inferring and incorporating interactions in a multi-directional graph, thereby enabling contextual exploratory analysis. We demonstrate that our approach can detect common and specific interactions between cell types in mouse brain and human tumors, and that these interactions fit with expected outcomes. These interactions also incl

SUBMITTER: Jakobsson JET 

PROVIDER: S-EPMC8545319 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature