LIANA+: an all-in-one cell-cell communication framework

Daniel Dimitrov(Heidelberg University), Philipp Schäfer(Heidelberg University), Elias Farr(Heidelberg University), Pablo Rodríguez-Mier(Heidelberg University), Sebastian Lobentanzer(Heidelberg University), Aurélien Dugourd(Heidelberg University), Jovan Tanevski(Heidelberg University), Ricardo O. Ramirez Flores(Heidelberg University), Julio Sáez-Rodríguez(Heidelberg University)
bioRxiv (Cold Spring Harbor Laboratory)
August 21, 2023
Cited by 35Open Access
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Abstract

Abstract The growing availability of single-cell and spatially-resolved transcriptomics has led to the rapidly growing popularity of methods to infer cell-cell communication. Many approaches have emerged, each capturing only a partial view of the complex landscape of cell-cell communication. Here, we present LIANA+, a scalable framework to decode coordinated inter- and intracellular signalling events from single- and multi-condition datasets in both single-cell and spatially-resolved data. Beyond integrating and extending established methodologies and a rich knowledge base, LIANA+ enables novel analyses using diverse molecular mediators, including those measured in multi-omics data. Accessible as an open-source Python package at https://github.com/saezlab/liana-py , LIANA+ provides a comprehensive set of synergistic components to study cell-cell communication. Abstract Figure


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