LIANA+ provides an all-in-one framework for cell-cell communication inference
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 a...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
02 September 2024
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| In: |
Nature cell biology
Year: 2024, Volume: 26, Issue: 9, Pages: 1613-1622 |
| ISSN: | 1476-4679 |
| DOI: | 10.1038/s41556-024-01469-w |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.1038/s41556-024-01469-w Verlag, kostenfrei, Volltext: https://www.nature.com/articles/s41556-024-01469-w 
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| Author Notes: | Daniel Dimitrov, Philipp Sven Lars Schäfer, Elias Farr, Pablo Rodriguez-Mier, Sebastian Lobentanzer, Pau Badia-i-Mompel, Aurelien Dugourd, Jovan Tanevski, Ricardo Omar Ramirez Flores & Julio Saez-Rodriguez |
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| 520 | |a 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-pywith extensive vignettes (https://liana-py.readthedocs.io/) and provides an all-in-one solution to intercellular communication inference. | ||
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