Comprehensive visualization of cell-cell interactions in single-cell and spatial transcriptomics with NICHES.

ABSTRACT:

Motivation

Recent years have seen the release of several toolsets that reveal cell-cell interactions from single-cell data. However, all existing approaches leverage mean celltype gene expression values, and do not preserve the single-cell fidelity of the original data. Here, we present NICHES (Niche Interactions and Communication Heterogeneity in Extracellular Signaling), a tool to explore extracellular signaling at the truly single-cell level.

Results

NICHES allows embedding of ligand-receptor signal proxies to visualize heterogeneous signaling archetypes within cell clusters, between cell clusters and across experimental conditions. When applied to spatial transcriptomic data, NICHES can be used to reflect local cellular microenvironment. NICHES can operate with any list

SUBMITTER: Raredon MSB 

PROVIDER: S-EPMC9825783 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature