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LIANA+ provides an all-in-one framework for cell-cell communication inference.

Daniel DimitrovPhilipp Sven Lars SchäferElias FarrPablo Rodríguez-MierSebastian LobentanzerPau Badia-I-MompelAurelien DugourdJovan TanevskiRicardo Omar Ramirez FloresJulio Saez-Rodriguez
Published in: Nature cell biology (2024)
The growing availability of single-cell and spatially resolved transcriptomics has led to the development of many approaches to infer cell-cell communication, each capturing only a partial view of the complex landscape of intercellular signalling. Here we present LIANA+, a scalable framework built around a rich knowledge base to decode coordinated inter- and intracellular signalling events from single- and multi-condition datasets in both single-cell and spatially resolved data. By extending and unifying established methodologies, LIANA+ provides a comprehensive set of synergistic components to study cell-cell communication via diverse molecular mediators, including those measured in multi-omics data. LIANA+ is accessible at https://github.com/saezlab/liana-py with extensive vignettes ( https://liana-py.readthedocs.io/ ) and provides an all-in-one solution to intercellular communication inference.
Keyphrases
  • single cell
  • rna seq
  • high throughput
  • cell therapy
  • mesenchymal stem cells
  • electronic health record
  • deep learning