dc.contributor.author | Efremova, M | en_US |
dc.contributor.author | Vento-Tormo, R | en_US |
dc.date.accessioned | 2022-01-24T16:35:13Z | |
dc.date.available | 2020-11-02 | en_US |
dc.date.issued | 2021 | en_US |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/76336 | |
dc.description.abstract | Cell-cell communication is crucial for development and tissue homeostasis in multicellular organisms. Single-cell transcriptomics has emerged as a revolutionary technique for dissecting cellular compositions and potential cell-cell communication events via ligand-receptor pairs. To provide a systematic characterization of intercellular communication, we developed a framework to map cell-cell communication events mediated by ligand-receptor interactions across different cell types using single-cell transcriptomics data. Our repository of ligands, receptors and their interactions is integrated with a computational approach to identify cell-type specific and biologically relevant interactions. Here, we summarize the structure and content of our repository and present a practical guide for inferring cell-cell communication networks from single-cell RNA sequencing data. | en_US |
dc.format.extent | 1 - 10 | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Methods Mol Biol | en_US |
dc.subject | Cell–cell communication | en_US |
dc.subject | Ligands | en_US |
dc.subject | Receptors | en_US |
dc.subject | Single-cell RNA sequencing | en_US |
dc.subject | Cell Communication | en_US |
dc.subject | Humans | en_US |
dc.subject | Ligands | en_US |
dc.subject | Receptors, Cell Surface | en_US |
dc.subject | Sequence Analysis, RNA | en_US |
dc.subject | Single-Cell Analysis | en_US |
dc.subject | Software | en_US |
dc.subject | Transcriptome | en_US |
dc.title | Inference of Ligand-Receptor Pairs from Single-Cell Transcriptomics Data. | en_US |
dc.type | Article | |
dc.identifier.doi | 10.1007/7651_2020_343 | en_US |
pubs.author-url | https://www.ncbi.nlm.nih.gov/pubmed/33625677 | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 2346 | en_US |