Nature Cell Biology · 2024 · 204 citations · 81 references
Life SciencesBioinformaticsCell BiologyCell SignalingCell-cell CommunicationTranscriptomicsCell-cell Communication AnalysisIntercellular CommunicationIntracellular CommunicationSingle-cell Multi-omics IntegrationSingle-cell TranscriptomicsSpatial TranscriptomicsCell-cell Communication InferenceInference ProcessesSignaling Pathway InferenceSingle-cell Multiomics IntegrationSingle-cell Network InferenceSingle-cell Transcriptomic Communication AnalysisSpatial Cell-cell Communication
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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