| Autor: |
Dimitrov, Daniel, Schäfer, Philipp Sven Lars, Farr, Elias, Rodriguez-Mier, Pablo, Lobentanzer, Sebastian, Badia-i-Mompel, Pau, Dugourd, Aurelien, Tanevski, Jovan, Ramirez Flores, Ricardo Omar, Saez-Rodriguez, Julio |
| Zdroj: |
Nature Cell Biology; September 2024, Vol. 26 Issue: 9 p1613-1622, 10p |
| Abstrakt: |
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. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
|
Full text from SpringerLink