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

Daniel Dimitrov(Heidelberg University), Philipp Schäfer(Heidelberg University), Elias Farr(Heidelberg University), Pablo Rodríguez-Mier(Heidelberg University), Sebastian Lobentanzer(Heidelberg University), Pau Badia-i-Mompel(Heidelberg University), Aurélien Dugourd(Heidelberg University), Jovan Tanevski(Heidelberg University), Ricardo O. Ramirez Flores(Heidelberg University), Julio Sáez-Rodríguez(European Bioinformatics Institute)
Nature Cell Biology
September 1, 2024
Cited by 193Open Access
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Abstract

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.


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