ArticleNature cell biology2024
LIANA+ provides an all-in-one framework for cell-cell communication inference.
Article in Nature cell biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 180 papers.
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180 citing papers in PubMed.
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- A Conserved Macrophage-to-Hepatic Stellate Cell PDGF Axis in Human MASH Identified by Multi-Cohort sc/snRNA-Seq Re-Analysis.International journal of molecular sciences · 2026Article
- Decoding cell-cell communication in spatial transcriptomics: mechanistic insights, modeling constraints, and analytical caveats.Briefings in bioinformatics · 2026Review
- Single-cell transcriptomics of human brain disorders.Molecular psychiatry · 2026Review
- Identification of potent inhibitors of JUN N-terminal kinases for treatment of endometriosis and associated pain.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- CoxFormer enables spatial omics inference with multimodal generative modeling.Nature communications · 2026Article
- Myasthenia thymus reprograms class-switched B cells into BAFF-dependent survivors.Science advances · 2026Article
- Distinct postnatal trajectories of mouse dendritic epidermal T cells and Langerhans cells independent of microbiota.Science advances · 2026Article
- TTNCell reports · 2026Article
- Spatial and functional specialization of human splenic innate lymphoid cells.Nature communications · 2026Article
- ParTIpy: a scalable framework for archetypal analysis and Pareto task inference.Molecular systems biology · 2026Article
- A transcriptional signature of resting mast cells is associated with improved disease outcome in HRGenes and immunity · 2026Article
- SC-framework: A robust and FAIR semi-interactive environment for single-cell resolution datasets.iScience · 2026Article
120 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors.
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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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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.