Modeling intercellular communication in tissues using spatial graphs of cells.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 36302986.
- Also identified by DOI 10.1038/s41587-022-01467-z and PMC identifier 10017508.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Models of intercellular communication in tissues are based on molecular profiles of dissociated cells, are limited to receptor-ligand signaling and ignore spatial proximity in situ. We present node-centric expression modeling, a method based on graph neural networks that estimates the effects of niche composition on gene expression in an unbiased manner from spatial molecular profiling data. We recover signatures of molecular processes known to underlie cell communication.
Medical subject headings
- Cell Communication
- Signal Transduction